How Altera Unlocks the Autonomous Microsoft Enterprise” explores why most “AI agent” initiatives in Microsoft environments stall or fail — and what it actually takes to build true autonomy at enterprise scale. The host argues that the difference between Copilot as a work-assisting tool and autonomous execution is not better language models or prettier interfaces — it’s contracts and boundaries. Without explicit definition of what an agent is allowed to do, how tool access is scoped, how evidence is captured, and how escalation works, autonomy quickly devolves into “automated guessing” with real operational risk. Effective autonomous systems require mechanisms that enforce the autonomy boundary — where recommendation shifts to action — through scoped identities, predictable escalation rules, replayable records, and closed-loop execution. Without that, organizations get stuck in “pilot forever” because they haven’t engineered governance, identity, and authorization in a way that can be audited and trusted in production environments. The episode reframes autonomy not as a chat UI but as deterministic execution contracts that turn business intent into constrained, auditable automation.

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🧠 Core Theme

  • Most organizations think AI autonomy means adding a smarter chat UI, more connectors, or fancy workflow buttons — but autonomy isn’t about UI, it’s about controlled execution.

  • True autonomous systems must enforce explicit execution contracts — not just generate recommendations.

  • AI autonomy fails at boundaries — the transition point from idea to action — not because models lack intelligence.


🔑 Key Concepts Covered


🔹 The Autonomy Boundary

  • The autonomy boundary separates recommendation from action.

  • On the recommendation side, agents analyze, plan, and suggest.

  • On the execution side, agents change the world — revoking access, modifying systems, closing tickets, transferring money, etc.

  • If you cannot clearly define where that boundary lies and what is allowed beyond it, you cannot safely operationalize autonomy.


🔹 Copilot vs Autonomous Execution

  • Copilot speeds up human work — it accelerates decision suggestions.

  • Autonomous execution replaces humans in the loop — the system plans, calls tools, verifies outcomes, and escalates only when predefined by the execution contract.

  • If a human approval step remains central, the system is still just automated labor, not autonomous execution.


🔹 Altera as the Execution Layer

  • Altera is not another chat UI or agent interface.

  • It represents the mechanism that operationalizes the autonomy boundary using execution contracts.

  • These contracts enforce:

    • Scoped identities

    • Explicit tool access

    • Evidence capture

    • Predictable escalation behavior

    • Replayable outcomes

  • In Microsoft terms, this sits above tools like Azure Resource Manager, Graph API, Sentinel playbooks, and Copilot Studio orchestration and ensures they behave as a controlled system.


🔹 Why Enterprises Get Stuck

  • Enterprises can pilot autonomous systems easily, but production-scale autonomy breaks when agents must touch real permissions, audits, and on-call responsibilities.

  • Common blockers include:

    • Overly broad access rights

    • Lack of formal evidence requirements

    • Unclear ownership of incidents

    • Policy drift between documented intent and actual practice

  • So projects stall “for governance” — and governance never existed in the first place.


🛠️ The Autonomy Stack That Survives Production

To succeed in autonomous execution, organizations need a closed-loop system consisting of:

  1. Event ingestion — alerts, tickets, telemetry

  2. Reasoning — classification under policy

  3. Orchestration — deterministic routing to tools

  4. Execution — scoped actions with verification

  5. Evidence — replayable run records that support audit and debugging

  • Without the ability to replay and defend what happened, autonomy cannot be trusted.


📌 Real-World Scenarios Discussed

  • Autonomous IT remediation — safely closing repeatable incidents.

  • Finance reconciliation & close — evidence-first automation that survives audit scrutiny.

  • Security incident triage — reducing SOC chaos without agents harming themselves.

  • In all cases, the common limiter is identity debt and authorization sprawl rather than model intelligence or UI fit.


🔎 Identity, Authorization & Execution Contracts

  • Microsoft’s ecosystem (Graph API, Azure AD/Entra, Sentinel playbooks, Copilot Studio, Azure AI Foundry) already provides many building blocks.

  • The missing part is enforcing execution contracts — turning tools into deterministic operators rather than combinatorial chaos.

  • Execution contracts must be auditable, replayable, and aligned with enterprise governance.


📊 Measuring ROI

The episode reframes autonomy ROI away from model costs or tokens and toward actual business outcomes:

  • Time-to-close reductions

  • Queue depth reduction

  • Human-in-the-loop rate

  • Rollback frequency

  • Policy violation prevention

  • If the system doesn’t reduce operational load or deliver predictable results, it’s not autonomy — it’s just faster assistance.


🧠 Leadership & Governance Implications

  • Autonomy is safe only when enforced by design — through explicit execution boundaries and contracts.

  • Governance cannot be retrofitted; it must be engineered with scoped identities, evidence capture, and escalation paths from day one.

  • If you can’t say who wakes up at 2 a.m. when something goes wrong — or how you roll back an autonomous change — autonomy isn’t production-ready.


🎯 Final Takeaway

Autonomy doesn’t fail because models aren’t intelligent — it fails because nobody defines, enforces, and tests where execution is allowed.
Without execution contracts that constrain what the system can do, autonomous systems will operate in boundary chaos, not controlled automation.

Transcript

1
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Most organizations think agents means co-pilot with extra steps, a nicer chat box, a few connectors, maybe some workflow buttons.

2
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They are wrong. Co-pilot speeds up a human. Autonomy replaces the human step entirely, planning, acting, verifying, and documenting without waiting for your approval.

3
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And that's where the fear is rational. The moment a system can act, every missing policy, every sloppy permission, every undocumented exception turns into conditional chaos.

4
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The blast rate is "Stop's being theoretical" because the system actually has hands.

5
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So this episode isn't UI-talked, it's system behavior. We're going to draw the line between suggestion and execution, define the contract that controls what an agent can touch,

6
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and then we'll come back to the uncomfortable parts. Identity-dead, authorisation sprawl, and why governance always arrives late.

7
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Because that's where autonomy breaks in real tenants.

8
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Define the through line, the autonomy boundary.

9
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If there's one idea to hold on to for the full episode, it's this. Autonomy fails at boundaries, not capabilities.

10
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Most people obsess over model quality. They ask whether the agent understands the task.

11
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That's comforting, because it sounds like progress is a matter of smarter tokens.

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But in the Microsoft Enterprise, the model is rarely the limiting factor.

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The limiting factor is the moment the system transitions from "I suggest to "I execute."

14
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That transition is the autonomy boundary. The autonomy boundary is the explicit decision line between two modes of operation,

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recommendation and action.

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On one side, the agent produces text, options, summaries, and plans. On the other side, the agent changes the world.

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It makes graph calls, edits configurations, closes tickets, revoke sessions, moves money, or sends communications that people will treat as official.

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That distinction matters. Because the boundary is where ownership moves, it's where audit expectations change,

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it's where helpful assistant becomes operator.

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An enterprises don't struggle because the operator is incompetent.

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They struggle because nobody bothered to define, enforce, and continuously test the line where operation is allowed.

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To make that line enforceable, you need a second artifact, the execution contract.

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The execution contract is not a vibe, it is not a prompt.

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It is a concrete definition of what the agent is allowed to do and under what constraints.

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Think of it as a compiled interface between business intent and tool execution.

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It specifies at minimum five things. First, allowed tools.

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Not, it can use Microsoft Graph.

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Which graph endpoints? Which actions?

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Read versus write is not a detail.

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It's the difference between reporting and damage.

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Second, scopes and boundaries, tenant, subscription, resource group, site collection, mailbox,

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environment, whatever the containment unit is for the workload.

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The contract names the containment unit and makes it non-negotiable.

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Third, evidence requirements.

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What does the agent need to cite before it acts?

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A ticket ID, an alert correlation, a policy clause, an approval reference, a change record.

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Autonomy without evidence is just automated, guessing, with better grammar.

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Fourth, thresholds, confidence thresholds, anomaly thresholds, volume thresholds.

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The contract states what's safe enough means and when the system must escalate.

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Fifth, escalation and kill behavior.

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Who does it wake up?

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Where does it post?

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What's the rollback path?

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And this is the part everyone forgets.

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How do you stop it cleanly mid-flight without leaving half a plight changes across 10 systems?

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Now, here's where Altaira becomes useful as a concept without becoming marketing.

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In Microsoft Terms, Altaira represents the mechanism that operationalyzes the autonomy boundary

48
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through an execution contract.

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It's the layer that turns we want autonomy into enforceable constraints,

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tool-rooting, scoped identities, evidence capture and predictable escalation.

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Not more chat, more closed-loop outcomes.

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And when the episode gets abstract and it will, this is the anchor.

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Come back to two questions.

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Where is the autonomy boundary and what does the execution contract require

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before the agent crosses it?

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Because every enterprise failure story in this space reduces to those two questions being answered

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informally once by the wrong person and then never revisited.

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The contract drifts.

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Exceptions get added, someone needs an urgent workaround.

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Someone else copies that work around into another environment.

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And slowly, your deterministic intent becomes probabilistic behavior.

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We'll come back to this later when we talk about identity debt because identity debt is what happens when

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execution contracts get multiplied across dozens of non-human operators

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and nobody remembers why they exist.

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But before we get to the debt, you need to understand why co-pilot can't cross this boundary by design

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and why that limitation is the feature that keeps most tenants intact.

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Co-pilot versus autonomous execution, the non-negotiable difference.

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If a human must approve the final action you are still buying labor, just faster labor.

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That's not a moral judgment, it's a systems description.

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Co-pilot is an interface layer that compresses the cost of thinking, drafting,

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searching and summarizing.

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It moves work from slow human keystrokes to fast human supervision.

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The human still owns the last mile.

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The click that changes state in Azure, the approval that closes the ticket,

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the decision that revokes the session, the email that becomes an official instruction.

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And because the human owns the last mile, the blast radius stays human-shaped.

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It's bounded by attention, fatigue and time.

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That's not great, but it's legible.

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You can point to a person and say this was your decision.

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Autonomous execution is different, it is not a better chat experience,

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it is not co-pilot but with confidence.

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Autonomy is goal-pursued under constraints.

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The system receives a signal, forms a plan, uses tools,

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tracks state over time and keeps going until it meets an outcome condition

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or hits an escalation boundary.

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That means autonomy has three properties, co-pilot doesn't need first,

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statefulness.

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It remembers what it tried, what failed, what changed,

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what evidence it gathered and what remains.

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Without state, you don't have autonomy, you have looping suggestions.

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Second, tool ownership.

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Co-pilot can call tools, sure, but the human still authorizes meaning.

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Autonomy calls tools because tool calls are the work.

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Graph, Azure Resource Manager, ITSM APIs,

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Defender Action, Sentinel Playbooks,

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these aren't integrations, they're actuators.

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Third, multi-step execution with feedback.

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Autonomy doesn't just perform an action, it verifies.

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It checks whether the service came back healthy,

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whether the config drift stopped, whether the incidence scope shrank,

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whether the reconciliation balanced, whether the containment actually contained.

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If it didn't, it iterates.

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Now here's where most organizations lie to themselves.

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They say they want autonomy, but they implement assistance with a longer leash.

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The agent drafts the change request and the engineer clicks approve.

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That's still labor, faster labor.

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It can be worth doing, but don't pretend you crossed the autonomy boundary.

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You just built a better router for human attention.

109
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And the reason this distinction matters isn't philosophical, it's operational.

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With Co-pilot, you manage model risk, hallucinations, missing context, bad summaries.

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With autonomy, you manage execution risk.

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Actual changes in production systems.

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The failure mode moves from wrong words to wrong actions.

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And at that point, the only question that matters is who owns the blast radius.

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In a deterministic security model, you can explain outcomes by configuration.

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The policy allowed it, the role permitted it, the audit log shows it.

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In a probabilistic model, outcomes emerge from a sequence of conditional decisions.

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Confidence thresholds, tool rooting, exception paths,

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retreats, partial failures, and whatever helpful fallback someone enabled in a hurry.

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That probabilistic drift is not caused by the model being random.

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It's caused by the enterprise being inconsistent.

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The model just exposes it.

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This is the part people miss.

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Autonomy doesn't create new governance problems.

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It simply turns your existing governance gaps into runtime behavior.

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And that's why identity and authorization become the real cost center.

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Not tokens, not model rooting, not whether the agents sound smart.

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When you shift ownership of actions from humans to non-human operators,

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you are manufacturing new principles, new entitlements, new conditional access edges,

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new audit requirements, new incident pathways.

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We'll come back to identity debt later because that's where this breaks in real tenants.

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But for now, keep the frame simple.

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Copilot optimizes an individual.

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Autonomy optimizes a queue.

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Copilot makes one person faster at doing work.

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Autonomy makes work happen without that person being involved.

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Once you see that, Microsoft 365 stops looking like a suite of apps

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with a chat sidebar.

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It starts looking like an agent runtime with a massive tool surface area.

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Graph as the actuator bus, teams as the coordination layer,

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entra as the distributed decision engine,

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and purview and defender as the rails that decide whether the system stays deterministic

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or degrades into conditional chaos.

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And that's why Copilot can't cross the boundary by design,

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isn't a limitation.

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It's a containment strategy.

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Microsoft's direction, the agentic web is already here.

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Most enterprises still talk about agents like it's a feature you can choose to enable later.

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Once the pilot's finished and the governance deck gets its annual refresh,

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they are wrong.

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The direction is already set.

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Microsoft is normalizing delegation to non-human operators across the stack,

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not as a sidebar, as the default unit of work. This is the uncomfortable truth.

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The agentic web is not coming.

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It is here and it's being built out as a set of runtimes, protocols and identity surfaces

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that make autonomous execution feel ordinary.

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Look at the signals Microsoft chose to amplify at build 2025.

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They didn't lead with better chat, dealer.

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They led with task delegation.

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Assign an issue to an agent.

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Let it spin compute.

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Make changes in a branch.

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Produce session logs, open a PR,

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and then let other agents review before merge.

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That is an operational pattern, not a UX pattern.

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It's also a rehearsal for enterprise autonomy.

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Because if you can delegate software work end to end,

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you can delegate everything else that behaves like software incident response

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on boarding access reviews, finance, close workflows, security triage.

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These are all systems of cues, evidence and actions.

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The substrate is the same and Microsoft is making that substrate explicit.

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Azure AI Foundry is being positioned like an app server for stateful agents,

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multi-model, multi-agent orchestration, production, observability and managed execution.

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That matters because autonomy doesn't scale on prompts.

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It scales on runtimes.

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Runtimes give you consistent tool invocation, consistent memory patterns,

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consistent telemetry and predictable failure modes.

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Without a runtime, agent is just a demo that stops working the moment the network blips

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or the API throttles.

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Then there's co-pilot studio pushing multi-agent orchestration into low code,

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which is a polite way of saying,

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the people who least understand your control plane will soon be able to assemble autonomous workflows anyway.

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The platform doesn't wait for architectural maturity.

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It roots around it and Microsoft is also standardizing the wiring.

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MCP, the model context protocol, is the clearest example.

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Microsoft is treating MCP like a universal adapter between agents and tools,

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and that sounds developer-friendly and it is.

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But in enterprise terms, MCP is a force multiplier for both capability and risk,

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because it collapses the friction of adding just one more tool into an agent's reach.

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Here's the failure mode you need to anchor on.

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An agent accidentally gains the ability to delete what it should only read,

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not because the model went rogue,

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because someone exposed a tool with a broad scope,

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or a server drifted, or a permission got inherited,

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or a temporary exception became permanent.

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MCP makes tool discovery easy.

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It does not make authorization safe.

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Discovery is not authorization.

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Microsoft is even pushing MCP down into windows itself with a registry concept,

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user consent prompts, and a model where local capabilities become calable tools.

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That's not a niche developer story.

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It's Microsoft telling you that tool access is the new perimeter,

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and the perimeter now spans cloud and endpoint.

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At the same time, they're doing something more consequential.

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Normalizing non-human identities at scale.

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In the keynote language, agents get their own identity and show up in entra.

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That's not cosmetic.

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That's the beginning of an enterprise identity graph,

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where humans are no longer the only operators.

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Your tenant becomes a mixed ecology of people and principles acting with intent

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that someone wants to find.

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And when that becomes normal, governance stops being a policy document

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and becomes a compiler problem.

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You are compiling intent into enforceable constraints across thousands of decisions per day,

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made by systems that don't get tired and don't use judgment the way humans do.

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So if you're waiting for a clean, agent rollout moment,

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you're already behind.

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The ecosystem is converging.

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GitHub task delegation is cultural proof.

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Foundry is runtime.

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Co-pilot Studio as distribution channel.

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Teams as coordination layer.

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Graph as actuator bus.

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And entra as the decision engine that either enforces your intent

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or quietly accumulates exceptions until you're running conditional chaos.

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And that sets up the next question.

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If this is Microsoft's direction, what exactly is Altera in Microsoft terms

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without marketing, without mysticism,

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and without pretending the platform will save you from your own design debt?

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What Altera represents in Microsoft terms?

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Most people here, Altera, and immediately hunt for the UI.

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They want to know where the chat box lives,

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what the agent looks like in teams, how it shows up in co-pilot.

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That's the wrong axis.

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The interface is the least interesting part of autonomy

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because the interface doesn't carry the risk.

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The system does.

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In Microsoft terms, Altera represents an execution layer

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that operationalizes the autonomy boundary through an execution contract.

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It sits above tools and below business intent.

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It is the part that takes a goal,

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a set of allowed actions, a set of required evidence,

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and turns that into a controlled sequence of tool calls

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that either completes the work or escalates cleanly.

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That distinction matters because Microsoft already gives you

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most of the raw ingredients.

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Graph, Azure Resource Manager, Defender Actions,

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Sentinel Playbooks, co-pilot Studio Orchestration, Foundry Run Times,

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Teams as a Coordination Surface.

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The enterprise does not lack tools.

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It lacks a mechanism that forces those tools to behave like a system.

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So the clean way to describe Altera is not another agent.

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It is the thing that makes an agent behave like an operator

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you'd be willing to put on call,

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constrained identity, explicit tool access, predictable escalation,

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and replayable evidence.

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And you can translate that into a mental model

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that enterprise people actually understand.

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Altera behaves like an authorization compiler.

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You provide intent, resolve these incident classes,

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reconcile these accounts, contain these alert types.

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You provide constraints, scopes, thresholds,

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evidence rules, and who owns escalation.

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And then that intent gets compiled into a runtime plan

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which tools can be invoked in which order,

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with which checks, under which identity producing which artifacts.

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It is not magic.

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It is constraint enforcement under load.

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Now, where does it sit in the Microsoft stack?

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It sits in the seam between the control plane and the execution plane.

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Entra, purview, Defender, and your policy layer define what should be allowed.

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Graph, Azure, ITSM, ERP connectors,

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and endpoint actions are how work gets done.

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Altera lives between those worlds translating allowed into perform without letting

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convenience rewrite intent.

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That's why it can't be just another prompt wrapper.

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Prompt wrappers make the demo feel good.

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They do not make the tenant safer.

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They don't solve identities, brawl.

280
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They don't solve tool scope drift.

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They don't produce evidence you can replay.

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They don't give you a kill switch that actually stops a multi-system run halfway through.

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They just produce better sentences about what might happen.

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Altera, as we're using it in this episode,

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represents the closed loop outcome approach.

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Detect, decide, act, verify, and document as a single executable run.

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The output is not, here's my reasoning.

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The output is, the incident is resolved, the reconciliation is balanced,

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the containment is applied, and here is the evidence trail that proves it.

290
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And this is the uncomfortable part for buyers.

291
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Altera's value has almost nothing to do with model quality.

292
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Yes, you want decent reasoning, but model quality is not what determines

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whether autonomy works in production.

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Control play maturity does.

295
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If your identity model is sloppy, autonomy accelerates the sloppiness.

296
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If your tool permissions are broad, autonomy turns them into a power tool.

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If your approvals are ambiguous, autonomy becomes a blame generator.

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If your audit surfaces are weak,

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autonomy becomes a storytelling engine.

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That's why the promise isn't, will make the model smarter.

301
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The promise is, will make the system more deterministic.

302
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And deterministic in this context doesn't mean perfect.

303
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It means explainable.

304
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You can map an outcome back to a policy clause,

305
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an entitlement, an evidence artifact, and a bounded action set.

306
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So here's what Altera is not.

307
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It is not a replacement for Entra.

308
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Entra is still the distributed decision engine.

309
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Altera is an execution layer that consumes those decisions.

310
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It is not a replacement for Perview or Defender.

311
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Those are your governance and threat rails.

312
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Altera produces the evidence and the action footprints

313
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those systems need to evaluate.

314
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It is not co-pilot, but autonomous.

315
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Co-pilot is a human productivity interface.

316
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Altera is an operator runtime pattern.

317
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And if that feels like semantics good, semantics are where audits live.

318
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Because once you accept that Altera is essentially a mechanism

319
00:15:40,080 --> 00:15:42,560
for enforcing execution contracts at scale.

320
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The next question becomes obvious.

321
00:15:44,320 --> 00:15:46,880
Why do enterprises still get stuck at pilot forever?

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Not because autonomy is impossible,

323
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because the first time you try to productionize it,

324
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you discover the tenant has no enforceable autonomy boundary at all.

325
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Why enterprises stall at pilot forever?

326
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The pattern is boring because it repeats.

327
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A team runs a proof of concept.

328
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It looks great.

329
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The agent summarizes, tickets, drafts, responses,

330
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maybe even proposes a fix.

331
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Everyone nods, then someone says the fatal sentence,

332
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"Okay, let's roll this into production."

333
00:16:09,200 --> 00:16:12,160
And production is where the tenant's actual shape appears.

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Pilots succeed because they borrow certainty.

335
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They live in a narrow sandbox.

336
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A clean data set, a cooperative API, a friendly stakeholder,

337
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and permissions that quietly ignore how the enterprise actually works.

338
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Then the moment you connect the pilot to the real cues,

339
00:16:25,680 --> 00:16:28,720
real incidents, real approvals, real change control,

340
00:16:28,720 --> 00:16:31,600
the system hits friction you can't prompt your way out of.

341
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The first friction point is permissions.

342
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In a pilot, people hand the agent broad access

343
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because they're optimizing for speed.

344
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In production, broad access becomes a liability surface

345
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and suddenly everyone remembers segregation of duties.

346
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The same person who loved the demo now asks,

347
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"Wait, what identity is that running as?"

348
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And if you can't answer in one sentence,

349
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what principle, what roles, what scopes,

350
00:16:50,480 --> 00:16:52,000
what conditional access constraints,

351
00:16:52,000 --> 00:16:53,040
you don't have autonomy,

352
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you have a science project with admin rights.

353
00:16:55,200 --> 00:16:57,040
The second friction point is auditability.

354
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The demo says, "Here's what I did."

355
00:16:58,960 --> 00:17:02,160
The auditor says, "Prove it, replay it, show me the evidence chain."

356
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Autonomy only counts as enterprise automation

357
00:17:05,360 --> 00:17:08,800
when it produces artifacts that survive hostile review.

358
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Time stamps, inputs, tool calls, approvals,

359
00:17:11,280 --> 00:17:13,280
and outcomes tied to policy.

360
00:17:13,280 --> 00:17:16,080
If your agent can't produce evidence, it can't be trusted.

361
00:17:16,080 --> 00:17:18,240
It can only be tolerated temporarily

362
00:17:18,240 --> 00:17:19,840
by people who haven't been burned yet.

363
00:17:19,840 --> 00:17:22,480
The third friction point is incident ownership.

364
00:17:22,480 --> 00:17:24,080
Pilots have a hero, a champion,

365
00:17:24,080 --> 00:17:26,320
someone who owns the agent because they built it.

366
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In production, ownership means a pager

367
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who gets woken up when the agent loops at 2am,

368
00:17:30,720 --> 00:17:33,280
who approves the rollback when it partially applied changes

369
00:17:33,280 --> 00:17:35,840
across Azure Graph and the ITSM system,

370
00:17:35,840 --> 00:17:38,240
who signs off when the agent's action caused user impact

371
00:17:38,240 --> 00:17:40,560
but the model's explanation sounds plausible.

372
00:17:40,560 --> 00:17:43,200
Enterprises don't stall because they hate autonomy.

373
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They stall because nobody wants to inherit

374
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a new failure mode without a clear escalation contract.

375
00:17:47,600 --> 00:17:51,040
Then comes change control, the quiet killer of agent projects.

376
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Autonomy requires updating tools, policies, thresholds,

377
00:17:53,920 --> 00:17:56,080
and runbooks as the environment changes.

378
00:17:56,080 --> 00:17:58,960
But enterprises treat policy like a museum artifact,

379
00:17:58,960 --> 00:18:00,640
written once, rarely revisited,

380
00:18:00,640 --> 00:18:02,640
and only updated after an incident.

381
00:18:02,640 --> 00:18:05,360
So the agent drifts out of alignment with reality.

382
00:18:05,360 --> 00:18:08,800
API's change rolls evolve, a new SAS tool appears.

383
00:18:08,800 --> 00:18:11,360
An exception gets added just for this quarter.

384
00:18:11,360 --> 00:18:14,160
The pilot keeps running with assumptions that no longer hold.

385
00:18:14,160 --> 00:18:15,920
And when the first production incident happens,

386
00:18:15,920 --> 00:18:18,160
the organization responds predictably.

387
00:18:18,160 --> 00:18:19,280
Pause for governance.

388
00:18:19,280 --> 00:18:20,880
That phrase sounds responsible.

389
00:18:20,880 --> 00:18:22,480
It is usually a confession.

390
00:18:22,480 --> 00:18:25,680
It means the organization didn't have an enforceable autonomy boundary.

391
00:18:25,680 --> 00:18:27,840
They had enthusiasm in a slide deck.

392
00:18:27,840 --> 00:18:30,480
Governance arrives late because it's uncomfortable work.

393
00:18:30,480 --> 00:18:33,520
It forces you to make decisions about what the agent is allowed to do,

394
00:18:33,520 --> 00:18:37,280
who owns the consequences and what evidence is required before action.

395
00:18:37,280 --> 00:18:39,440
Most organizations avoid those decisions

396
00:18:39,440 --> 00:18:41,600
by keeping the agent in suggestion mode.

397
00:18:41,600 --> 00:18:44,240
Because suggestion mode keeps responsibility human-shaped.

398
00:18:44,240 --> 00:18:45,920
This is also where shadow AI shows up.

399
00:18:45,920 --> 00:18:48,000
Business units don't wait for central IT.

400
00:18:48,000 --> 00:18:49,440
They build agents anyway.

401
00:18:49,440 --> 00:18:52,480
Co-pilot studio here, a connector there, an MCP server,

402
00:18:52,480 --> 00:18:53,520
someone found on GitHub,

403
00:18:53,520 --> 00:18:56,560
and suddenly actions happen outside the control plane's visibility.

404
00:18:56,560 --> 00:18:58,000
Not because people are malicious,

405
00:18:58,000 --> 00:18:59,440
because cues never shrink,

406
00:18:59,440 --> 00:19:01,280
and someone always wants relief.

407
00:19:01,280 --> 00:19:03,280
The platform routes around your governance

408
00:19:03,280 --> 00:19:05,680
because the business routes around your delays.

409
00:19:05,680 --> 00:19:08,160
So the root cause isn't the enterprise's cautious.

410
00:19:08,160 --> 00:19:11,600
The root cause is that autonomy forces the tenant to become honest.

411
00:19:11,600 --> 00:19:13,280
It forces you to formalize intent.

412
00:19:13,280 --> 00:19:15,520
It forces you to define the execution contract.

413
00:19:15,520 --> 00:19:19,120
It forces you to treat exceptions as entropy generators, not as favors.

414
00:19:19,120 --> 00:19:21,040
And it forces you to align the control plane.

415
00:19:21,040 --> 00:19:23,680
Identity policy evidence with the execution plane,

416
00:19:23,680 --> 00:19:25,200
tools, actions, outcomes,

417
00:19:25,200 --> 00:19:27,600
pilots avoid that alignment by staying small.

418
00:19:27,600 --> 00:19:29,600
Production demands it immediately.

419
00:19:29,600 --> 00:19:32,640
And that's why pilot forever is not a maturity stage.

420
00:19:32,640 --> 00:19:33,920
It's a stable equilibrium.

421
00:19:33,920 --> 00:19:35,600
Assistance feels useful and safe.

422
00:19:35,600 --> 00:19:39,280
Autonomy feels risky and political, therefore autonomy gets deferred

423
00:19:39,280 --> 00:19:40,240
until the next quarter.

424
00:19:40,240 --> 00:19:41,440
The quarter never ends.

425
00:19:41,440 --> 00:19:43,440
So the question isn't how to do a better pilot.

426
00:19:43,440 --> 00:19:45,680
The question is how to design autonomy as a system,

427
00:19:45,680 --> 00:19:47,360
not a feature, because the moment you do,

428
00:19:47,360 --> 00:19:50,240
the stall pattern becomes predictable and solvable.

429
00:19:50,240 --> 00:19:52,800
The autonomy stack, event, reasoning,

430
00:19:52,800 --> 00:19:55,280
orchestration, action, evidence.

431
00:19:55,280 --> 00:19:57,600
Once you stop treating autonomy like a feature,

432
00:19:57,600 --> 00:19:58,720
you need a stack.

433
00:19:58,720 --> 00:20:01,120
Not a vendor diagram, a behavioral stack.

434
00:20:01,120 --> 00:20:02,400
How work enters the system?

435
00:20:02,400 --> 00:20:04,320
How decisions get made, how actions happen,

436
00:20:04,320 --> 00:20:06,560
and how you proved the system didn't just improvise.

437
00:20:06,560 --> 00:20:09,760
This is the autonomy stack that actually survives production,

438
00:20:09,760 --> 00:20:12,560
event, reasoning, orchestration, action, evidence.

439
00:20:12,560 --> 00:20:15,200
Start with event, autonomy doesn't begin with a prompt.

440
00:20:15,200 --> 00:20:18,000
It begins with a signal that arrives, whether you're ready or not.

441
00:20:18,000 --> 00:20:20,640
An alert fires, a ticket opens, a mailbox, rule triggers,

442
00:20:20,640 --> 00:20:22,000
a scheduled job hits.

443
00:20:22,000 --> 00:20:23,760
A user reports something in teams.

444
00:20:23,760 --> 00:20:25,600
A threshold crosses into the limit.

445
00:20:25,600 --> 00:20:29,600
The key point is that events are external reality pushing into your system.

446
00:20:29,600 --> 00:20:31,760
And this is where people quietly cheat.

447
00:20:31,760 --> 00:20:35,120
They build an autonomous agent that only runs when a human asks it to.

448
00:20:35,120 --> 00:20:36,240
That's still assistance.

449
00:20:36,240 --> 00:20:38,640
Autonomy starts when the system can wake itself up.

450
00:20:38,640 --> 00:20:41,840
But event ingestion has an architectural requirement, normalization.

451
00:20:41,840 --> 00:20:45,280
If your events arrive in 10 formats with 10 levels of fidelity,

452
00:20:45,280 --> 00:20:47,280
you don't have an autonomy pipeline.

453
00:20:47,280 --> 00:20:48,560
You have a noisy inbox.

454
00:20:48,560 --> 00:20:52,000
So the first job is to translate raw signals into a consistent envelope.

455
00:20:52,000 --> 00:20:52,720
What happened?

456
00:20:52,720 --> 00:20:53,440
Where? To what?

457
00:20:53,440 --> 00:20:55,440
And what evidence exists that it actually happened?

458
00:20:55,440 --> 00:20:56,640
Now reasoning.

459
00:20:56,640 --> 00:20:58,960
Reasoning is not the agent thinking.

460
00:20:58,960 --> 00:21:01,200
Reasoning is the system converting a signal

461
00:21:01,200 --> 00:21:03,680
into an intentful plan under constraints.

462
00:21:03,680 --> 00:21:07,200
That typically means classify the event, extract the goal,

463
00:21:07,200 --> 00:21:10,160
decompose into steps and decide whether action is allowed.

464
00:21:10,160 --> 00:21:11,760
And here's the uncomfortable truth.

465
00:21:11,760 --> 00:21:14,240
Reasoning needs explicit stop conditions.

466
00:21:14,240 --> 00:21:15,760
Humans stop because they get tired.

467
00:21:15,760 --> 00:21:18,400
Agents stop only when you define done or not safe.

468
00:21:18,400 --> 00:21:20,320
And without that, they don't become autonomous.

469
00:21:20,320 --> 00:21:21,360
They become persistent.

470
00:21:21,360 --> 00:21:22,960
So you need confidence thresholds,

471
00:21:22,960 --> 00:21:25,920
anomaly detection, and policy checks as part of reasoning.

472
00:21:25,920 --> 00:21:26,960
Not as an afterthought.

473
00:21:26,960 --> 00:21:30,400
The system has to decide upfront whether it should act, ask, or escalate.

474
00:21:30,400 --> 00:21:32,800
That decision is the autonomy boundary in motion.

475
00:21:32,800 --> 00:21:34,720
Suggestion versus execution.

476
00:21:34,720 --> 00:21:38,640
Then orchestration orchestration is where most people get seduced by complexity.

477
00:21:38,640 --> 00:21:42,080
Multi-agent this planner that tool router, memory store, fine.

478
00:21:42,080 --> 00:21:44,560
But the practical purpose of orchestration is simple.

479
00:21:44,560 --> 00:21:47,680
Root the work to the right capability in the right order

480
00:21:47,680 --> 00:21:49,920
with fallbacks that don't become loopholes.

481
00:21:49,920 --> 00:21:51,920
Orchestration chooses tools and specialists

482
00:21:51,920 --> 00:21:53,680
the way a human operator does.

483
00:21:53,680 --> 00:21:54,880
I need more context.

484
00:21:54,880 --> 00:21:56,560
Go query the ticket system.

485
00:21:56,560 --> 00:21:57,840
I need to validate scope.

486
00:21:57,840 --> 00:21:59,360
Go check identity risk.

487
00:21:59,360 --> 00:22:01,840
I need to apply a change, use this runbook.

488
00:22:01,840 --> 00:22:04,400
The difference is that orchestration has to be deterministic

489
00:22:04,400 --> 00:22:06,560
about permissions and evidence collection.

490
00:22:06,560 --> 00:22:10,240
Otherwise, your fallback path becomes the real path because it's easier.

491
00:22:10,240 --> 00:22:13,280
And orchestration must handle failure as a first class input.

492
00:22:13,280 --> 00:22:14,160
API's throttle.

493
00:22:14,160 --> 00:22:15,440
Graph returns partial data.

494
00:22:15,440 --> 00:22:16,640
A device goes offline.

495
00:22:16,640 --> 00:22:17,440
A resource group.

496
00:22:17,440 --> 00:22:17,920
Locks.

497
00:22:17,920 --> 00:22:19,040
A connector breaks.

498
00:22:19,040 --> 00:22:20,480
The agent doesn't get to pretend.

499
00:22:20,480 --> 00:22:22,400
Orchestration has to implement retreats,

500
00:22:22,400 --> 00:22:24,560
back off alternate paths and escalation rules

501
00:22:24,560 --> 00:22:26,880
that don't spam your on-call rotation into quitting.

502
00:22:26,880 --> 00:22:27,920
Next is action.

503
00:22:28,800 --> 00:22:31,520
Action is the part everyone demos because it looks impressive.

504
00:22:31,520 --> 00:22:34,720
But action is where you either enforce the execution contract

505
00:22:34,720 --> 00:22:36,080
or you lie about having one.

506
00:22:36,080 --> 00:22:38,560
Actions are concrete tool calls,

507
00:22:38,560 --> 00:22:41,280
patching a service, updating a configuration,

508
00:22:41,280 --> 00:22:42,240
revoking a session,

509
00:22:42,240 --> 00:22:43,920
disabling a risky app consent,

510
00:22:43,920 --> 00:22:45,600
posting to a team's channel,

511
00:22:45,600 --> 00:22:48,000
creating a change record, closing a ticket.

512
00:22:48,000 --> 00:22:50,480
And each action must run under a scoped identity

513
00:22:50,480 --> 00:22:51,920
with bounded permissions.

514
00:22:51,920 --> 00:22:55,040
This is where read versus write stops being theory.

515
00:22:55,040 --> 00:22:56,960
If the agent can write to the wrong plane,

516
00:22:56,960 --> 00:22:59,360
you've built a worm with good documentation.

517
00:22:59,360 --> 00:23:00,720
So action needs guardrails,

518
00:23:00,720 --> 00:23:02,960
quotas, rate limits, scope boundaries,

519
00:23:02,960 --> 00:23:05,600
and a kill switch that actually holds an inflight run.

520
00:23:05,600 --> 00:23:07,520
An action must include verification.

521
00:23:07,520 --> 00:23:08,560
Not I executed.

522
00:23:08,560 --> 00:23:10,480
Verified outcomes?

523
00:23:10,480 --> 00:23:12,480
Service healthy, incident stopped paging,

524
00:23:12,480 --> 00:23:14,720
reconciliation balanced containment took effect.

525
00:23:14,720 --> 00:23:16,800
If you don't verify, you didn't automate a result.

526
00:23:16,800 --> 00:23:17,840
You automated a guess.

527
00:23:17,840 --> 00:23:19,520
Finally, evidence evidence is the part

528
00:23:19,520 --> 00:23:21,840
that makes autonomy enterprise grade.

529
00:23:21,840 --> 00:23:23,520
Without it, you get agent said so,

530
00:23:23,520 --> 00:23:26,400
which is just a new flavor of unaccountable change.

531
00:23:26,400 --> 00:23:28,400
Evidence means a replayable run.

532
00:23:28,400 --> 00:23:30,720
Inputs captured, the event payload stored,

533
00:23:30,720 --> 00:23:32,320
the reasoning decision recorded,

534
00:23:32,320 --> 00:23:34,480
the tool calls logged with parameters,

535
00:23:34,480 --> 00:23:36,800
the identities used, the approvals referenced,

536
00:23:36,800 --> 00:23:38,160
the outputs produced,

537
00:23:38,160 --> 00:23:40,800
and the verification checks that confirm success.

538
00:23:40,800 --> 00:23:42,080
This is not for curiosity.

539
00:23:42,080 --> 00:23:44,880
It's for incident reviews, audits, and blame assignment.

540
00:23:44,880 --> 00:23:46,800
Because enterprises will do all three,

541
00:23:46,800 --> 00:23:49,040
evidence is also how you detect drift.

542
00:23:49,040 --> 00:23:51,040
When the same event class suddenly produces

543
00:23:51,040 --> 00:23:52,400
different action paths, you know,

544
00:23:52,400 --> 00:23:54,240
your contracts or entitlements eroded.

545
00:23:54,240 --> 00:23:57,120
So when someone asks what is autonomy architecturally,

546
00:23:57,120 --> 00:23:59,040
the answer isn't an LLM with tools.

547
00:23:59,040 --> 00:24:01,520
It's a closed loop system that ingests events,

548
00:24:01,520 --> 00:24:03,920
reasons under policy, orchestrates safely,

549
00:24:03,920 --> 00:24:06,240
acts with bounded identity and outputs evidence

550
00:24:06,240 --> 00:24:07,680
you can replay under hostility.

551
00:24:07,680 --> 00:24:11,040
Control plane versus execution plane,

552
00:24:11,040 --> 00:24:12,720
where governance actually lives.

553
00:24:12,720 --> 00:24:15,760
Now the stack is useful, but it hides the real fight.

554
00:24:15,760 --> 00:24:18,000
Governance doesn't live in the agent.

555
00:24:18,000 --> 00:24:20,320
It lives in how you separate the control plane

556
00:24:20,320 --> 00:24:21,760
from the execution plane,

557
00:24:21,760 --> 00:24:23,840
and whether you keep that separation intact

558
00:24:23,840 --> 00:24:25,520
when someone asks for speed.

559
00:24:25,520 --> 00:24:28,320
The control plane is where you encode intent as constraints.

560
00:24:28,320 --> 00:24:30,400
It is identity's entitlements, policies,

561
00:24:30,400 --> 00:24:32,400
approvals, tool allow lists, evidence rules,

562
00:24:32,400 --> 00:24:34,080
and the ability to revoke any of those

563
00:24:34,080 --> 00:24:36,320
without negotiating with a dozen app teams.

564
00:24:36,320 --> 00:24:38,640
If you can't change the rules without redeploying the agent,

565
00:24:38,640 --> 00:24:40,160
you don't have a control plane.

566
00:24:40,160 --> 00:24:41,360
You have a fragile app.

567
00:24:41,360 --> 00:24:44,560
In Microsoft terms, the control plane is anchored in Entra,

568
00:24:44,560 --> 00:24:46,640
your policy layer, and your governance systems.

569
00:24:46,640 --> 00:24:48,880
The place where you decide what principles exist,

570
00:24:48,880 --> 00:24:50,560
what they can do under what conditions

571
00:24:50,560 --> 00:24:52,640
and what must be recorded when they do it.

572
00:24:52,640 --> 00:24:55,200
It's also where you decide what allowed even means

573
00:24:55,200 --> 00:24:56,640
when the actor isn't a person.

574
00:24:56,640 --> 00:24:58,640
The execution plane is where work happens.

575
00:24:58,640 --> 00:25:00,720
It is the runtime making graph calls,

576
00:25:00,720 --> 00:25:03,520
running runbooks, invoking sentinel playbooks,

577
00:25:03,520 --> 00:25:06,480
updating tickets, pushing messages into teams,

578
00:25:06,480 --> 00:25:09,520
touching SharePoint, writing back into the ERP

579
00:25:09,520 --> 00:25:12,960
or performing any other actuator move that changes state.

580
00:25:12,960 --> 00:25:15,760
Execution is the part that makes demos look impressive

581
00:25:15,760 --> 00:25:17,680
because it creates visible outcomes.

582
00:25:17,680 --> 00:25:20,480
It is also the part that turns small mistakes into incidents.

583
00:25:20,480 --> 00:25:21,520
That distinction matters

584
00:25:21,520 --> 00:25:23,440
because enterprises routinely invert them.

585
00:25:23,440 --> 00:25:24,720
They start with execution.

586
00:25:24,720 --> 00:25:26,080
We connected it to graph.

587
00:25:26,080 --> 00:25:27,360
We wired up the connector.

588
00:25:27,360 --> 00:25:28,960
It can restart the service.

589
00:25:28,960 --> 00:25:30,720
And then later they bolt on governance

590
00:25:30,720 --> 00:25:32,160
a log file, a few approvals,

591
00:25:32,160 --> 00:25:34,080
a policy doc that nobody reads.

592
00:25:34,080 --> 00:25:36,160
Over time, convenience overrides intent.

593
00:25:36,160 --> 00:25:38,480
The execution plane becomes the real control plane

594
00:25:38,480 --> 00:25:40,000
because whoever owns the connector

595
00:25:40,000 --> 00:25:41,920
effectively owns the blast radius.

596
00:25:41,920 --> 00:25:43,440
This is the uncomfortable truth.

597
00:25:43,440 --> 00:25:46,160
Autonomy systems drift toward the fastest path

598
00:25:46,160 --> 00:25:48,400
unless you enforce separation by design.

599
00:25:48,400 --> 00:25:51,200
So what does separation look like in practice?

600
00:25:51,200 --> 00:25:53,200
First, control plane owns identity.

601
00:25:53,200 --> 00:25:55,760
Not the agent developer, not the workflow designer,

602
00:25:55,760 --> 00:25:58,320
not whoever has contributor in the subscription.

603
00:25:58,320 --> 00:26:00,240
The agent runs as a non-human principle

604
00:26:00,240 --> 00:26:02,240
with explicitly bounded roles.

605
00:26:02,240 --> 00:26:04,960
And those roles live in the same life cycle as human access,

606
00:26:04,960 --> 00:26:07,200
review, rotation and revocation.

607
00:26:07,200 --> 00:26:09,280
If a developer can quietly widen permissions

608
00:26:09,280 --> 00:26:11,920
to make the demo work, the system will inevitably

609
00:26:11,920 --> 00:26:13,360
ship with those permissions.

610
00:26:13,360 --> 00:26:16,080
Second, control plane owns tool availability.

611
00:26:16,080 --> 00:26:18,160
Not the agent can use tools.

612
00:26:18,160 --> 00:26:19,520
Which tools exist at all?

613
00:26:19,520 --> 00:26:21,120
Which versions and which ones are allowed?

614
00:26:21,120 --> 00:26:21,840
In production.

615
00:26:21,840 --> 00:26:23,680
This is where MCP becomes dangerous

616
00:26:23,680 --> 00:26:25,600
if you don't treat it like a perimeter.

617
00:26:25,600 --> 00:26:27,200
A tool registry is discovery.

618
00:26:27,200 --> 00:26:28,480
An all-list is governance.

619
00:26:28,480 --> 00:26:30,880
If you don't have both, you will wake up to toolsprall

620
00:26:30,880 --> 00:26:31,920
and entitlement sprawl,

621
00:26:31,920 --> 00:26:34,160
and you won't remember which one caused the incident.

622
00:26:34,160 --> 00:26:36,560
Third, control plane owns evidence requirements.

623
00:26:36,560 --> 00:26:39,120
You don't let execution decide what counts as proof.

624
00:26:39,120 --> 00:26:41,840
The policy says, before you cross the autonomy boundary,

625
00:26:41,840 --> 00:26:44,560
you must have a ticket reference correlated telemetry

626
00:26:44,560 --> 00:26:46,640
and a policy clause that permits the action.

627
00:26:46,640 --> 00:26:50,160
And after the action, you must emit a replayable record.

628
00:26:50,160 --> 00:26:53,680
If you let the execution plane best effort its way through evidence,

629
00:26:53,680 --> 00:26:55,280
you'll end up with polite narratives

630
00:26:55,280 --> 00:26:56,880
instead of audit artifacts.

631
00:26:56,880 --> 00:26:58,560
Now here's the part everyone gets wrong.

632
00:26:58,560 --> 00:26:59,520
Exceptions.

633
00:26:59,520 --> 00:27:02,560
Most organizations think exceptions are operational flexibility.

634
00:27:02,560 --> 00:27:03,280
They are wrong.

635
00:27:03,280 --> 00:27:04,960
Exceptions are entropy generators.

636
00:27:04,960 --> 00:27:06,000
Every time someone says,

637
00:27:06,000 --> 00:27:07,600
"Just let the agent do it this one time."

638
00:27:07,600 --> 00:27:09,520
They're not making the system more useful.

639
00:27:09,520 --> 00:27:12,800
They're making your deterministic security model probabilistic.

640
00:27:12,800 --> 00:27:14,560
Because the exception doesn't live in a vacuum.

641
00:27:14,560 --> 00:27:16,240
It gets copied, reused, inherited

642
00:27:16,240 --> 00:27:17,840
and eventually treated as baseline.

643
00:27:17,840 --> 00:27:19,680
The system did exactly what you allowed.

644
00:27:19,680 --> 00:27:21,120
You just forgot you allowed it.

645
00:27:21,120 --> 00:27:23,200
And the hardest problem in this entire model

646
00:27:23,200 --> 00:27:25,680
isn't starting an agent, it's stopping one.

647
00:27:25,680 --> 00:27:27,600
Not disable the app registration.

648
00:27:27,600 --> 00:27:29,440
Stopping an inflight run cleanly,

649
00:27:29,440 --> 00:27:31,600
mid execution across multiple systems

650
00:27:31,600 --> 00:27:33,840
with partial state changes and retries queued.

651
00:27:33,840 --> 00:27:36,240
If you don't design kill behavior into the control plane,

652
00:27:36,240 --> 00:27:37,920
you'll learn about it during an incident

653
00:27:37,920 --> 00:27:40,400
when the agent keeps helpfully reapplying

654
00:27:40,400 --> 00:27:42,400
the action you're trying to roll back.

655
00:27:42,400 --> 00:27:43,600
So if you remember nothing else,

656
00:27:43,600 --> 00:27:45,200
governance lives in the control plane

657
00:27:45,200 --> 00:27:46,720
not in the agent's prompt,

658
00:27:46,720 --> 00:27:49,200
the execution plane will always see convenience.

659
00:27:49,200 --> 00:27:51,200
Your job is to make convenience impossible

660
00:27:51,200 --> 00:27:52,880
when it violates intent.

661
00:27:52,880 --> 00:27:54,080
The worth it test.

662
00:27:54,080 --> 00:27:56,160
When autonomy beats assistance.

663
00:27:56,160 --> 00:27:58,000
Autonomy is not better AI.

664
00:27:58,000 --> 00:27:59,280
It's a different cost model.

665
00:27:59,280 --> 00:28:01,200
Assistance helps a person finish work.

666
00:28:01,200 --> 00:28:03,600
Autonomy finishes work and leaves you with an artifact.

667
00:28:03,600 --> 00:28:05,680
That means the only honest question

668
00:28:05,680 --> 00:28:07,280
is whether the overhead of building

669
00:28:07,280 --> 00:28:10,080
and governing autonomous execution pays for itself.

670
00:28:10,080 --> 00:28:13,120
And it only pays in a very specific shape of problem.

671
00:28:13,120 --> 00:28:15,520
Autonomy wins when the work has volume,

672
00:28:15,520 --> 00:28:17,760
repeatability and bounded consequences.

673
00:28:18,480 --> 00:28:20,320
Think of it like any other automation.

674
00:28:20,320 --> 00:28:23,440
If the decision is rare, ambiguous or politically sensitive,

675
00:28:23,440 --> 00:28:24,880
autonomy won't save you.

676
00:28:24,880 --> 00:28:26,960
It will just give you a faster way to be wrong.

677
00:28:26,960 --> 00:28:28,320
So here's the worth it test,

678
00:28:28,320 --> 00:28:30,640
stated the way an enterprise should state it.

679
00:28:30,640 --> 00:28:33,680
Autonomy beats assistance when it increases outcome throughput

680
00:28:33,680 --> 00:28:35,680
without increasing policy violations.

681
00:28:35,680 --> 00:28:37,680
Not when users like it,

682
00:28:37,680 --> 00:28:39,520
or not when the demo is cool.

683
00:28:39,520 --> 00:28:42,240
When the system closes more outcomes per unit time,

684
00:28:42,240 --> 00:28:43,680
under enforced intent,

685
00:28:43,680 --> 00:28:45,920
and humans intervene less without losing control,

686
00:28:45,920 --> 00:28:47,600
that test has four components.

687
00:28:47,600 --> 00:28:49,600
First, throughput.

688
00:28:49,600 --> 00:28:50,880
Autonomy is a queue optimizer.

689
00:28:50,880 --> 00:28:52,480
If your queue depth never goes down,

690
00:28:52,480 --> 00:28:55,600
tickets churn, incidents churn, analysts become routers,

691
00:28:55,600 --> 00:28:58,160
then you have a throughput problem, not a skill problem.

692
00:28:58,160 --> 00:29:01,920
Autonomy earns its keep when it takes the low to medium complexity items

693
00:29:01,920 --> 00:29:04,560
off the queue entirely and keeps doing it at 2am

694
00:29:04,560 --> 00:29:07,120
on a weekend without waiting for someone to look at it.

695
00:29:07,120 --> 00:29:08,880
Second, consistency.

696
00:29:08,880 --> 00:29:10,560
Humans are inconsistent by design.

697
00:29:10,560 --> 00:29:12,080
They interpret runbooks differently.

698
00:29:12,080 --> 00:29:14,480
They skip documentation when the page is screaming.

699
00:29:14,480 --> 00:29:17,040
They make temporary changes and forget to reverse them.

700
00:29:17,040 --> 00:29:19,200
Autonomy, under an execution contract,

701
00:29:19,200 --> 00:29:21,280
does the same thing the same way every time.

702
00:29:21,280 --> 00:29:22,240
That is boring.

703
00:29:22,240 --> 00:29:23,600
Boring is the goal.

704
00:29:23,600 --> 00:29:26,240
Third, 24/7 execution.

705
00:29:26,240 --> 00:29:28,400
Assistance still bottlenecks on attention.

706
00:29:28,400 --> 00:29:30,800
Copilot can draft the incident report at midnight,

707
00:29:30,800 --> 00:29:32,720
but the incident still waits for the engineer

708
00:29:32,720 --> 00:29:35,680
who has to approve the change, run the fix, and document it.

709
00:29:35,680 --> 00:29:37,120
Autonomy doesn't wait.

710
00:29:37,120 --> 00:29:39,600
It executes within its allowed action set,

711
00:29:39,600 --> 00:29:42,880
verifies and escalates only when the contract says it must.

712
00:29:42,880 --> 00:29:45,200
Fourth, reduced intervention rate.

713
00:29:45,200 --> 00:29:47,520
This is the metric most enterprises refuse to name

714
00:29:47,520 --> 00:29:49,120
because it forces accountability.

715
00:29:49,120 --> 00:29:51,840
What percentage of cases require a human to step in?

716
00:29:51,840 --> 00:29:53,840
With assistance, it's basically all of them,

717
00:29:53,840 --> 00:29:56,240
because the human owns the last mile.

718
00:29:56,240 --> 00:29:58,880
With autonomy, you expect the intervention rate to drop,

719
00:29:58,880 --> 00:30:01,280
meaning the system handles the known-nones

720
00:30:01,280 --> 00:30:03,360
and punts the unknown unknowns to humans.

721
00:30:03,360 --> 00:30:04,480
Now those are the benefits.

722
00:30:04,480 --> 00:30:05,280
Here's the gate.

723
00:30:05,280 --> 00:30:08,960
Autonomy only works when the decision environment is stable.

724
00:30:08,960 --> 00:30:11,360
That means the work items have recognizable patterns.

725
00:30:11,360 --> 00:30:13,440
The systems involved have reliable telemetry

726
00:30:13,440 --> 00:30:15,600
and the organization can define done

727
00:30:15,600 --> 00:30:18,080
in a way that can be validated automatically.

728
00:30:18,080 --> 00:30:21,040
If you can't define done, you can't automate outcomes.

729
00:30:21,040 --> 00:30:22,400
You can only automate motion.

730
00:30:22,400 --> 00:30:23,520
So what passes the test?

731
00:30:23,520 --> 00:30:26,160
High-volume, repeatable tasks with clear ownership

732
00:30:26,160 --> 00:30:27,760
and bounded scope.

733
00:30:27,760 --> 00:30:29,760
Common IT remediations.

734
00:30:29,760 --> 00:30:31,600
Known reconciliation patterns.

735
00:30:31,600 --> 00:30:33,760
Low-to-medium risk security responses

736
00:30:33,760 --> 00:30:36,800
where policy already defines what containment means.

737
00:30:36,800 --> 00:30:38,960
Autonomy thrives on operational repetition.

738
00:30:38,960 --> 00:30:40,000
What fails the test?

739
00:30:40,000 --> 00:30:41,440
Anything with ambiguous policy,

740
00:30:41,440 --> 00:30:44,560
sensitive consequences, weak telemetry or unclear ownership.

741
00:30:44,560 --> 00:30:46,800
If the action is "might-impact executives",

742
00:30:46,800 --> 00:30:48,560
you will end up with humans anyway.

743
00:30:48,560 --> 00:30:50,320
If the action involves money movement

744
00:30:50,320 --> 00:30:52,320
without a deterministic evidence chain,

745
00:30:52,320 --> 00:30:54,320
you will end up with auditors anyway.

746
00:30:54,320 --> 00:30:57,600
If the signal quality is low and the system spends its time guessing,

747
00:30:57,600 --> 00:31:00,160
you will end up with an expensive guessing machine.

748
00:31:00,160 --> 00:31:02,720
And the most common anti-case is the one nobody admits,

749
00:31:02,720 --> 00:31:04,160
unclear blast radius.

750
00:31:04,160 --> 00:31:07,200
If you can't bound the scope of what the agent is allowed to touch,

751
00:31:07,200 --> 00:31:08,480
you shouldn't let it touch anything.

752
00:31:08,480 --> 00:31:10,000
That's not caution, that's just math.

753
00:31:10,960 --> 00:31:14,000
Now the KPI framing, because this is where autonomy projects die

754
00:31:14,000 --> 00:31:14,960
in finance meetings.

755
00:31:14,960 --> 00:31:16,720
You don't measure autonomy by token cost.

756
00:31:16,720 --> 00:31:18,880
You measure it by cost per closed outcome,

757
00:31:18,880 --> 00:31:21,600
cost per incident resolved, cost per ticket closed,

758
00:31:21,600 --> 00:31:23,360
cost per reconciliation balanced.

759
00:31:23,360 --> 00:31:25,360
Cost per alert, triage to a real incident

760
00:31:25,360 --> 00:31:26,800
or dismissed with evidence.

761
00:31:26,800 --> 00:31:28,640
If autonomy lowers that number

762
00:31:28,640 --> 00:31:30,880
while holding policy compliance steady,

763
00:31:30,880 --> 00:31:31,680
it's worth it.

764
00:31:31,680 --> 00:31:33,200
If it only makes people feel faster,

765
00:31:33,200 --> 00:31:34,560
it's assistance with extra risk.

766
00:31:34,560 --> 00:31:35,760
So track four metrics

767
00:31:35,760 --> 00:31:37,600
and don't negotiate with yourself about them.

768
00:31:37,600 --> 00:31:40,080
Time to close, from event to verified outcome.

769
00:31:40,080 --> 00:31:41,360
Human in the loop rate,

770
00:31:41,360 --> 00:31:43,120
what percentage required intervention,

771
00:31:43,120 --> 00:31:44,080
not review.

772
00:31:44,080 --> 00:31:47,120
Rollback frequency, how often did autonomy make a change

773
00:31:47,120 --> 00:31:48,320
that had to be undone?

774
00:31:48,320 --> 00:31:50,720
Policy compliance, how often did it cross a boundary

775
00:31:50,720 --> 00:31:51,600
it shouldn't have crossed?

776
00:31:51,600 --> 00:31:54,160
And if you want one more that cuts through the noise,

777
00:31:54,160 --> 00:31:55,440
intervention histogram,

778
00:31:55,440 --> 00:31:56,960
not averages, the distribution,

779
00:31:56,960 --> 00:31:59,120
because the long tail is where incidents live.

780
00:31:59,120 --> 00:32:00,400
If the worth it test passes,

781
00:32:00,400 --> 00:32:02,160
autonomy becomes an engineering project.

782
00:32:02,160 --> 00:32:04,400
If it fails, keep it as assistance

783
00:32:04,400 --> 00:32:06,640
and be honest that you're buying faster labor.

784
00:32:06,640 --> 00:32:08,160
Now we can get concrete

785
00:32:08,160 --> 00:32:11,280
because the first scenario, autonomous IT remediation,

786
00:32:11,280 --> 00:32:13,200
exposes control plane immaturity

787
00:32:13,200 --> 00:32:16,080
faster than any governance workshop ever will.

788
00:32:16,080 --> 00:32:20,400
Scenario one, setup, autonomous IT remediation at scale.

789
00:32:20,400 --> 00:32:22,560
IT remediation is where autonomy stops

790
00:32:22,560 --> 00:32:25,600
being a philosophy and becomes a liability calculation.

791
00:32:25,600 --> 00:32:28,160
Because the pain is real, the volume is relentless

792
00:32:28,160 --> 00:32:31,440
and the work is mostly the same handful of moves repeated

793
00:32:31,440 --> 00:32:33,680
forever by tired humans who swear

794
00:32:33,680 --> 00:32:35,280
they'll document it next time.

795
00:32:35,280 --> 00:32:37,680
The typical enterprise starts here, alert fatigue.

796
00:32:37,680 --> 00:32:40,400
Monitoring fires, someone triages, they assign it,

797
00:32:40,400 --> 00:32:42,080
the assignee asks for context,

798
00:32:42,080 --> 00:32:43,680
then you get the escalation loop.

799
00:32:43,680 --> 00:32:45,120
The ticket bounces between teams

800
00:32:45,120 --> 00:32:46,880
because nobody owns the whole path.

801
00:32:46,880 --> 00:32:49,040
Meanwhile, users keep reporting the symptom,

802
00:32:49,040 --> 00:32:50,720
not the cause, so the queue gets heavier

803
00:32:50,720 --> 00:32:52,160
while the service gets worse.

804
00:32:52,160 --> 00:32:53,920
And buried inside that mess is a simple truth.

805
00:32:53,920 --> 00:32:55,760
Most of the incidents aren't mysterious.

806
00:32:55,760 --> 00:32:56,800
They're just unknown.

807
00:32:56,800 --> 00:32:59,200
They restart worthy, rollback worthy.

808
00:32:59,200 --> 00:33:02,080
Apply the known fix and verify worthy.

809
00:33:02,080 --> 00:33:03,840
But because humans are the bottleneck,

810
00:33:03,840 --> 00:33:04,880
everything queues.

811
00:33:04,880 --> 00:33:06,080
Work doesn't close.

812
00:33:06,080 --> 00:33:06,880
It turns.

813
00:33:07,840 --> 00:33:10,800
So the baseline flow most organizations run looks like this.

814
00:33:10,800 --> 00:33:13,600
Detect, triage, assign, remediate, document.

815
00:33:13,600 --> 00:33:14,480
It sounds orderly.

816
00:33:14,480 --> 00:33:16,240
In practice, it's a game of telephone.

817
00:33:16,240 --> 00:33:18,240
Detect is an alert with weak context.

818
00:33:18,240 --> 00:33:22,080
Triage is a person reconstructing context across three portals.

819
00:33:22,080 --> 00:33:23,600
Assign is guessing who's least busy.

820
00:33:23,600 --> 00:33:26,000
Remediate is someone doing the same command sequence

821
00:33:26,000 --> 00:33:26,880
they did last week.

822
00:33:26,880 --> 00:33:28,640
Document is either an afterthought

823
00:33:28,640 --> 00:33:30,160
or a copy-paced narrative

824
00:33:30,160 --> 00:33:32,480
written to satisfy process, not truth.

825
00:33:32,480 --> 00:33:33,680
Now the autonomy version,

826
00:33:33,680 --> 00:33:36,240
the one worth doing, changes the shape of the work.

827
00:33:36,240 --> 00:33:37,600
The agentic flow is,

828
00:33:37,600 --> 00:33:41,360
detect, diagnose, remediate, verify, close, report.

829
00:33:41,360 --> 00:33:42,320
Notice what's missing.

830
00:33:42,320 --> 00:33:44,640
There's no assigned step

831
00:33:44,640 --> 00:33:46,640
because the system doesn't need to find a human.

832
00:33:46,640 --> 00:33:48,560
And there's no document later

833
00:33:48,560 --> 00:33:50,240
because evidence is part of the run,

834
00:33:50,240 --> 00:33:52,320
not a chore you hope somebody remembers.

835
00:33:52,320 --> 00:33:54,800
But this only works if you take ownership seriously.

836
00:33:54,800 --> 00:33:56,320
Autonomy doesn't eliminate ownership.

837
00:33:56,320 --> 00:33:57,200
It just moves it.

838
00:33:57,200 --> 00:33:58,640
Someone still carries the pager.

839
00:33:58,640 --> 00:34:00,160
Someone still owns rollback.

840
00:34:00,160 --> 00:34:01,680
Someone still owns the change record

841
00:34:01,680 --> 00:34:03,520
when the agent makes a configuration update

842
00:34:03,520 --> 00:34:05,200
that technically counts as a change.

843
00:34:05,200 --> 00:34:06,960
Even if nobody typed the command.

844
00:34:06,960 --> 00:34:09,120
So before you let an agent touch remediation,

845
00:34:09,120 --> 00:34:10,560
you need to answer the questions

846
00:34:10,560 --> 00:34:13,200
most pilot teams avoid because they're inconvenient.

847
00:34:13,200 --> 00:34:14,720
What incident classes are in scope?

848
00:34:14,720 --> 00:34:16,320
What systems are allowed to be changed?

849
00:34:16,320 --> 00:34:17,760
What is the containment unit?

850
00:34:17,760 --> 00:34:19,040
Subscription, resource group,

851
00:34:19,040 --> 00:34:20,960
specific service, specific environment?

852
00:34:20,960 --> 00:34:24,000
What evidence is required before the agent is allowed to act?

853
00:34:24,000 --> 00:34:25,840
And what does verified mean for each fix?

854
00:34:25,840 --> 00:34:27,040
Because in IT remediation,

855
00:34:27,040 --> 00:34:28,480
the action is usually trivial.

856
00:34:28,480 --> 00:34:29,920
The blast radius is not.

857
00:34:29,920 --> 00:34:31,840
Restarting a service sounds harmless

858
00:34:31,840 --> 00:34:33,440
until it restarts the wrong tier,

859
00:34:33,440 --> 00:34:35,360
drops connections and triggers a cascade

860
00:34:35,360 --> 00:34:36,800
that looks like an outage.

861
00:34:36,800 --> 00:34:38,320
Rolling back a config sounds safe

862
00:34:38,320 --> 00:34:40,560
until the known good state is from three months ago

863
00:34:40,560 --> 00:34:42,560
and today's dependencies are different.

864
00:34:42,560 --> 00:34:43,920
Patching sounds responsible

865
00:34:43,920 --> 00:34:46,400
until the patch triggers a reboot during business hours

866
00:34:46,400 --> 00:34:48,800
because someone forgot to encode a maintenance window.

867
00:34:48,800 --> 00:34:50,480
This is why autonomy in remediation

868
00:34:50,480 --> 00:34:52,080
is the fastest way to expose

869
00:34:52,080 --> 00:34:53,840
whether your control plane is real.

870
00:34:53,840 --> 00:34:55,840
If you can't express a remediation action

871
00:34:55,840 --> 00:34:58,640
as a bounded, auditable, reversible operation,

872
00:34:58,640 --> 00:34:59,840
you shouldn't automate it.

873
00:34:59,840 --> 00:35:01,440
Not because automation is scary.

874
00:35:01,440 --> 00:35:02,880
Because automation is honest,

875
00:35:02,880 --> 00:35:05,680
it executes what you allow repeatedly at machine speed.

876
00:35:05,680 --> 00:35:06,800
So in this scenario,

877
00:35:06,800 --> 00:35:09,200
the objective isn't let the agent fix everything there.

878
00:35:09,200 --> 00:35:11,600
The objective is narrower and more defensible.

879
00:35:11,600 --> 00:35:13,920
Let the agent close the predictable incidents

880
00:35:13,920 --> 00:35:16,080
that already have deterministic runbooks

881
00:35:16,080 --> 00:35:18,720
with explicit thresholds and clean escalation.

882
00:35:18,720 --> 00:35:21,120
Think memory leaks with known mitigations.

883
00:35:21,120 --> 00:35:22,560
Stuck queue processors.

884
00:35:22,560 --> 00:35:23,920
Certificates approaching expiry

885
00:35:23,920 --> 00:35:25,520
where rotation is already scripted.

886
00:35:25,520 --> 00:35:28,320
Diskspace remediation where a cleanup is defined and bounded,

887
00:35:28,320 --> 00:35:30,800
service restarts where the verification checks are clear

888
00:35:30,800 --> 00:35:32,000
and the rollback is

889
00:35:32,000 --> 00:35:33,760
bring it back up and page a human

890
00:35:33,760 --> 00:35:35,280
if the health probe doesn't recover.

891
00:35:35,280 --> 00:35:36,080
And if you're thinking,

892
00:35:36,080 --> 00:35:38,000
"Okay, that's just automation? Good."

893
00:35:38,000 --> 00:35:40,320
Autonomy is automation with three added requirements.

894
00:35:40,320 --> 00:35:42,880
It chooses the runbook, it proves why it chose it,

895
00:35:42,880 --> 00:35:45,920
and it verifies the outcome under an execution contract.

896
00:35:45,920 --> 00:35:48,160
Now here's the payoff signal you should hold onto.

897
00:35:48,160 --> 00:35:49,440
Closing the ticket is easy.

898
00:35:49,440 --> 00:35:52,240
Producing evidence and bounding the blast radius is the work.

899
00:35:52,240 --> 00:35:54,960
That's why this scenario is perfect as the first deep dive.

900
00:35:54,960 --> 00:35:57,120
It forces you to confront the autonomy boundary

901
00:35:57,120 --> 00:35:59,840
in a domain where outcomes are measurable and failure is loud.

902
00:35:59,840 --> 00:36:02,640
If the agent can't show its evidence trail, you won't trust it.

903
00:36:02,640 --> 00:36:04,960
If it can't be stopped mid-flight, you'll fear it.

904
00:36:04,960 --> 00:36:07,040
If you can't name who wakes up when it fails,

905
00:36:07,040 --> 00:36:08,320
you're not doing autonomy.

906
00:36:08,320 --> 00:36:09,360
You're doing a demo.

907
00:36:09,360 --> 00:36:13,360
So the next thing is to map the flow across the real enterprise surfaces

908
00:36:13,360 --> 00:36:14,720
as you're for the resources,

909
00:36:14,720 --> 00:36:17,840
graph for identity adjacent actions and communications,

910
00:36:17,840 --> 00:36:20,800
the ITSM system for tickets and change records

911
00:36:20,800 --> 00:36:23,760
and policy gates that decide when execution is allowed.

912
00:36:23,760 --> 00:36:25,600
That's where most implementations collapse,

913
00:36:25,600 --> 00:36:27,760
not in the model but in permissions and scope.

914
00:36:27,760 --> 00:36:33,680
Scenario one, system flow, Azure plus graph plus ITSM plus policy gates

915
00:36:33,680 --> 00:36:37,360
start with the reality, the agent can't remediate an incident.

916
00:36:37,360 --> 00:36:39,680
It can only move through systems that already exist.

917
00:36:39,680 --> 00:36:40,960
Azure for the workload,

918
00:36:40,960 --> 00:36:44,240
Microsoft graph for identity adjacent actions and communication,

919
00:36:44,240 --> 00:36:46,640
the ITSM platform for the record of truth,

920
00:36:46,640 --> 00:36:47,920
and then policy gates,

921
00:36:47,920 --> 00:36:53,200
entra approvals and evidence rules that decide whether the agent is allowed to touch anything at all.

922
00:36:53,200 --> 00:36:54,960
So the flow begins at ingestion.

923
00:36:54,960 --> 00:36:59,760
A signal arrives from Azure Monitor, log analytics, defender for cloud, service health,

924
00:36:59,760 --> 00:37:01,840
or a ticket event from your ITSM tool.

925
00:37:01,840 --> 00:37:06,400
The first job is to normalize that signal into something the autonomy stack can reason over.

926
00:37:06,400 --> 00:37:09,520
Incident class, impacted resource,

927
00:37:09,520 --> 00:37:12,160
environment tag, customer impact signals,

928
00:37:12,160 --> 00:37:14,320
and any known runbook mapping keys.

929
00:37:14,320 --> 00:37:16,240
If the event payload can't be mapped to scope,

930
00:37:16,240 --> 00:37:18,320
the system should not try harder.

931
00:37:18,320 --> 00:37:19,280
It should escalate,

932
00:37:19,280 --> 00:37:21,200
autonomy doesn't earn trust by guessing,

933
00:37:21,200 --> 00:37:24,160
it earns trust by refusing to act without containment.

934
00:37:24,160 --> 00:37:25,840
Next is correlation and diagnosis.

935
00:37:25,840 --> 00:37:28,400
The agent pulls additional context from Azure.

936
00:37:28,400 --> 00:37:30,800
Recent deployments, configuration changes,

937
00:37:30,800 --> 00:37:33,200
scaling events, health probes, dependency failures,

938
00:37:33,200 --> 00:37:36,720
and whatever telemetry exists that can confirm this isn't a phantom alert.

939
00:37:36,720 --> 00:37:40,480
This is where the execution contracts evidence requirements become mechanical.

940
00:37:40,480 --> 00:37:42,960
If the contract says two independent signals,

941
00:37:42,960 --> 00:37:44,400
the system must collect them.

942
00:37:44,400 --> 00:37:47,520
A failing synthetic test plus a spike in error rate, for example.

943
00:37:47,520 --> 00:37:48,560
If it can't, it stops.

944
00:37:48,560 --> 00:37:50,480
That's the autonomy boundary doing its job.

945
00:37:50,480 --> 00:37:53,920
Now the system decides whether the incident is in an autonomous class.

946
00:37:53,920 --> 00:37:55,600
That classification shouldn't live in a prompt.

947
00:37:55,600 --> 00:37:57,040
It should live in policy,

948
00:37:57,040 --> 00:37:58,400
a list of incident types,

949
00:37:58,400 --> 00:38:00,400
environments, and severity levels

950
00:38:00,400 --> 00:38:02,160
that are eligible for automatic action.

951
00:38:02,160 --> 00:38:04,560
Production, CV-1 with unknown blast radius?

952
00:38:04,560 --> 00:38:05,200
No.

953
00:38:05,200 --> 00:38:08,080
Non-prodQ processor wedged for 30 minutes with a known fix?

954
00:38:08,080 --> 00:38:08,560
Yes.

955
00:38:08,560 --> 00:38:09,920
The goal is not heroics.

956
00:38:09,920 --> 00:38:11,520
The goal is predictable closure.

957
00:38:11,520 --> 00:38:12,880
Once the incident is eligible,

958
00:38:12,880 --> 00:38:15,280
orchestration selects the remediation pathway.

959
00:38:15,280 --> 00:38:16,400
In enterprise terms,

960
00:38:16,400 --> 00:38:18,960
this is runbook selection with preconditions.

961
00:38:18,960 --> 00:38:21,120
The agent chooses restart service,

962
00:38:21,120 --> 00:38:22,000
scale out,

963
00:38:22,000 --> 00:38:23,520
rollback last deployment,

964
00:38:23,520 --> 00:38:24,800
clear poison queue,

965
00:38:24,800 --> 00:38:26,400
rotate certificate,

966
00:38:26,400 --> 00:38:27,520
whatever you've defined.

967
00:38:27,520 --> 00:38:30,960
But each pathway has to include two extra things humans often skip,

968
00:38:30,960 --> 00:38:32,080
a rollback plan,

969
00:38:32,080 --> 00:38:33,520
and a verification plan.

970
00:38:33,520 --> 00:38:36,080
Rollback is what happens if the action makes it worse.

971
00:38:36,080 --> 00:38:38,320
Verification is what proves the action worked

972
00:38:38,320 --> 00:38:40,720
without a human saying looks fine.

973
00:38:40,720 --> 00:38:42,080
Now we hit the policy gates.

974
00:38:42,080 --> 00:38:43,520
Before any right action,

975
00:38:43,520 --> 00:38:46,240
the agent should cross-check identity and authorization.

976
00:38:46,240 --> 00:38:48,080
What principle is executing?

977
00:38:48,080 --> 00:38:49,360
What roles are active?

978
00:38:49,360 --> 00:38:51,040
And whether the current context

979
00:38:51,040 --> 00:38:52,800
satisfies conditional access

980
00:38:52,800 --> 00:38:54,800
and whatever risk conditions you enforce.

981
00:38:54,800 --> 00:38:56,640
And yes, if you're doing this properly,

982
00:38:56,640 --> 00:38:58,800
you'll end up with something PIM-like in spirit,

983
00:38:58,800 --> 00:39:00,640
even if the implementation differs,

984
00:39:00,640 --> 00:39:03,360
a constrained elevation model for specific actions,

985
00:39:03,360 --> 00:39:04,800
time-bounded, scope-bounded,

986
00:39:04,800 --> 00:39:07,200
and logged as an event that can be audited.

987
00:39:07,200 --> 00:39:09,920
At the same time, the ITSM system becomes a gate,

988
00:39:09,920 --> 00:39:11,120
not a bystander.

989
00:39:11,120 --> 00:39:14,000
The agent should either create or update a ticket with

990
00:39:14,000 --> 00:39:15,200
the detected signal,

991
00:39:15,200 --> 00:39:16,560
the evidence collected,

992
00:39:16,560 --> 00:39:17,840
the planned action sequence,

993
00:39:17,840 --> 00:39:20,240
and the policy clause that authorizes execution.

994
00:39:20,240 --> 00:39:22,080
If change control matters in your org,

995
00:39:22,080 --> 00:39:23,840
the agent should also create a change record,

996
00:39:23,840 --> 00:39:27,360
because the agent did it is not an exemption from your own process.

997
00:39:27,360 --> 00:39:29,920
It just means the process must be machine readable,

998
00:39:29,920 --> 00:39:31,840
then the action execution happens in Azure.

999
00:39:31,840 --> 00:39:33,440
This is where people get sloppy.

1000
00:39:33,440 --> 00:39:35,040
Restart the service must be implemented

1001
00:39:35,040 --> 00:39:36,640
as a scoped operation.

1002
00:39:36,640 --> 00:39:39,280
Target resource IDs explicitly restrict subscription

1003
00:39:39,280 --> 00:39:40,560
and resource group boundaries

1004
00:39:40,560 --> 00:39:41,680
and enforce rate limits,

1005
00:39:41,680 --> 00:39:43,680
so the agent can't restart the entire fleet

1006
00:39:43,680 --> 00:39:45,680
because it saw the same symptom twice.

1007
00:39:45,680 --> 00:39:48,240
If the remediation involves deployment rollback,

1008
00:39:48,240 --> 00:39:50,160
it must pin to a specific version

1009
00:39:50,160 --> 00:39:51,840
and validate dependency drift.

1010
00:39:51,840 --> 00:39:52,960
If it involves patching,

1011
00:39:52,960 --> 00:39:54,800
it must honor maintenance windows.

1012
00:39:54,800 --> 00:39:56,960
Autonomy doesn't erase operational discipline.

1013
00:39:56,960 --> 00:39:58,240
It weaponizes it,

1014
00:39:58,240 --> 00:40:00,080
either in your favor or against you.

1015
00:40:00,080 --> 00:40:02,880
Now graph shows up for two things.

1016
00:40:02,880 --> 00:40:04,640
Coordination and containment.

1017
00:40:04,640 --> 00:40:06,560
Coordination means notifications,

1018
00:40:06,560 --> 00:40:08,240
posting to the right teams channel,

1019
00:40:08,240 --> 00:40:09,200
updating the ticket,

1020
00:40:09,200 --> 00:40:11,440
emailing impacted stakeholders if that's your norm.

1021
00:40:11,440 --> 00:40:13,680
Containment means identity adjacent actions

1022
00:40:13,680 --> 00:40:15,200
when the incident demands it,

1023
00:40:15,200 --> 00:40:17,440
disabling a compromised app registration,

1024
00:40:17,440 --> 00:40:18,640
revoking sessions,

1025
00:40:18,640 --> 00:40:19,760
rotating secrets,

1026
00:40:19,760 --> 00:40:20,720
or pulling access.

1027
00:40:20,720 --> 00:40:22,160
But those actions are higher risk,

1028
00:40:22,160 --> 00:40:24,080
so they should sit behind stricter gates,

1029
00:40:24,080 --> 00:40:25,440
stronger evidence requirements,

1030
00:40:25,440 --> 00:40:27,680
tithescopes, and lower confidence tolerance.

1031
00:40:27,680 --> 00:40:29,760
Finally, verification and closure.

1032
00:40:29,760 --> 00:40:32,720
The agent requaries telemetry,

1033
00:40:32,720 --> 00:40:33,920
health probes green,

1034
00:40:33,920 --> 00:40:35,200
error rates normal,

1035
00:40:35,200 --> 00:40:36,720
queue depth trending down.

1036
00:40:36,720 --> 00:40:38,400
User impact signals resolved.

1037
00:40:38,400 --> 00:40:39,520
If verification fails,

1038
00:40:39,520 --> 00:40:41,040
it either rolls back or escalates

1039
00:40:41,040 --> 00:40:42,240
depending on the contract.

1040
00:40:42,240 --> 00:40:42,960
And when it closes,

1041
00:40:42,960 --> 00:40:44,400
it doesn't just close the ticket.

1042
00:40:44,400 --> 00:40:45,680
It writes the evidence bundle,

1043
00:40:45,680 --> 00:40:46,640
inputs, decisions,

1044
00:40:46,640 --> 00:40:47,600
toolcalls, approvals,

1045
00:40:47,600 --> 00:40:50,160
and verification results linked to the ITSM record

1046
00:40:50,160 --> 00:40:51,360
that bundle is the product.

1047
00:40:51,360 --> 00:40:53,120
Without it, you don't have autonomy.

1048
00:40:53,120 --> 00:40:53,920
You have fast,

1049
00:40:53,920 --> 00:40:54,960
unreviewable change.

1050
00:40:54,960 --> 00:40:56,720
Scenario one,

1051
00:40:56,720 --> 00:40:57,920
governance leaves privilege,

1052
00:40:57,920 --> 00:40:59,040
or it becomes a worm.

1053
00:40:59,040 --> 00:41:00,160
Now we talk about governance,

1054
00:41:00,160 --> 00:41:01,840
because this is where the remediation story

1055
00:41:01,840 --> 00:41:03,360
stops being an engineering win

1056
00:41:03,360 --> 00:41:06,400
and starts being an enterprise incident waiting to happen.

1057
00:41:06,400 --> 00:41:09,120
Autonomous remediation has a simple security truth.

1058
00:41:09,120 --> 00:41:10,560
If the agent can do anything,

1059
00:41:10,560 --> 00:41:12,240
it will eventually do everything.

1060
00:41:12,240 --> 00:41:13,200
Not out of malice,

1061
00:41:13,200 --> 00:41:15,360
out of pathfinding, tools try to succeed,

1062
00:41:15,360 --> 00:41:16,560
retreats try to recover,

1063
00:41:16,560 --> 00:41:17,680
fallbacks try to help.

1064
00:41:17,680 --> 00:41:19,360
And if you gave the system broad rides,

1065
00:41:19,360 --> 00:41:21,040
you built a self-propelled operator

1066
00:41:21,040 --> 00:41:22,640
with no meaningful containment.

1067
00:41:22,640 --> 00:41:24,240
That's a worm, just with nicer logs.

1068
00:41:24,240 --> 00:41:26,640
So governance for this scenario is not a checklist.

1069
00:41:26,640 --> 00:41:29,120
It is least privileged expressed as an execution contract

1070
00:41:29,120 --> 00:41:30,960
that the runtime cannot negotiate with.

1071
00:41:30,960 --> 00:41:32,560
Start with the agent identity.

1072
00:41:32,560 --> 00:41:34,240
This cannot be a service account.

1073
00:41:34,240 --> 00:41:36,960
It cannot be my automation app registration.

1074
00:41:36,960 --> 00:41:38,160
It's a non-human principle

1075
00:41:38,160 --> 00:41:39,200
with a single purpose,

1076
00:41:39,200 --> 00:41:40,080
a narrow scope,

1077
00:41:40,080 --> 00:41:41,600
and a life cycle you actually manage.

1078
00:41:41,600 --> 00:41:43,280
It needs explicit role boundaries,

1079
00:41:43,280 --> 00:41:44,080
what it can read,

1080
00:41:44,080 --> 00:41:44,880
what it can write,

1081
00:41:44,880 --> 00:41:46,480
and more importantly, where.

1082
00:41:46,480 --> 00:41:48,000
Subscription, resource group,

1083
00:41:48,000 --> 00:41:49,280
specific resource types,

1084
00:41:49,280 --> 00:41:50,320
specific environments.

1085
00:41:50,320 --> 00:41:52,160
The containment unit needs to be explicit

1086
00:41:52,160 --> 00:41:54,960
because remediation is always tempted to expand scope.

1087
00:41:54,960 --> 00:41:55,920
I saw the issue here,

1088
00:41:55,920 --> 00:41:57,520
so I'll go look over there.

1089
00:41:57,520 --> 00:41:59,360
No, it stays where you told it to stay.

1090
00:41:59,360 --> 00:42:00,480
Then you enforce it in

1091
00:42:00,480 --> 00:42:02,000
entra and as your authorization,

1092
00:42:02,000 --> 00:42:02,720
not in a prompt.

1093
00:42:02,720 --> 00:42:04,240
The easiest way to lie to yourself

1094
00:42:04,240 --> 00:42:05,840
is to implement least privilege

1095
00:42:05,840 --> 00:42:07,200
in the orchestration logic

1096
00:42:07,200 --> 00:42:09,360
while the principle still has contributor.

1097
00:42:09,360 --> 00:42:10,880
The system will behave until it doesn't,

1098
00:42:10,880 --> 00:42:11,680
and when it doesn't,

1099
00:42:11,680 --> 00:42:14,320
the logs will faithfully record the outcome you allowed.

1100
00:42:14,320 --> 00:42:15,280
So you need a pattern

1101
00:42:15,280 --> 00:42:17,520
where the baseline identity can observe

1102
00:42:17,520 --> 00:42:18,880
broadly enough to diagnose,

1103
00:42:18,880 --> 00:42:21,360
but act narrowly enough to not create a blast radius.

1104
00:42:21,360 --> 00:42:23,920
And if you require elevation for certain actions,

1105
00:42:23,920 --> 00:42:25,680
you make that elevation time-bounded,

1106
00:42:25,680 --> 00:42:27,360
scope-bounded, and auditable.

1107
00:42:27,360 --> 00:42:28,240
Call it PIM-like,

1108
00:42:28,240 --> 00:42:29,120
call it just in time,

1109
00:42:29,120 --> 00:42:30,160
call it whatever you want.

1110
00:42:30,160 --> 00:42:31,440
The mechanism isn't the point.

1111
00:42:31,440 --> 00:42:33,280
The point is that right access

1112
00:42:33,280 --> 00:42:34,880
is a temporary capability,

1113
00:42:34,880 --> 00:42:36,400
not a permanent property.

1114
00:42:36,400 --> 00:42:38,320
Next, permission granularity.

1115
00:42:38,320 --> 00:42:42,160
Most logs treat remediation as a single permission set.

1116
00:42:42,160 --> 00:42:43,680
The agent can remediate.

1117
00:42:43,680 --> 00:42:45,040
That's how you end up with an agent

1118
00:42:45,040 --> 00:42:46,320
that can restart a service

1119
00:42:46,320 --> 00:42:47,760
and also reconfigure networking

1120
00:42:47,760 --> 00:42:49,760
because both are operations.

1121
00:42:49,760 --> 00:42:51,120
They are not symmetrical.

1122
00:42:51,120 --> 00:42:54,400
Restart one app service instance is an operational nudge.

1123
00:42:54,400 --> 00:42:57,120
Modify NSG rules is infrastructure surgery.

1124
00:42:57,120 --> 00:42:59,280
Rollback at deployment is reversible.

1125
00:42:59,280 --> 00:43:02,080
Rotate secrets across dependencies is cross-system coupling.

1126
00:43:02,080 --> 00:43:03,600
So you define action classes

1127
00:43:03,600 --> 00:43:05,520
and you bind privileges to those classes.

1128
00:43:05,520 --> 00:43:06,720
You do not grant right

1129
00:43:06,720 --> 00:43:08,000
and hope policy saves you,

1130
00:43:08,000 --> 00:43:09,360
policy doesn't save you.

1131
00:43:09,360 --> 00:43:10,480
It records your mistakes.

1132
00:43:10,480 --> 00:43:12,080
Now, guardrails,

1133
00:43:12,080 --> 00:43:14,560
because permissions alone don't prevent failure loops.

1134
00:43:14,560 --> 00:43:15,920
You need kill switches.

1135
00:43:15,920 --> 00:43:16,560
Real ones.

1136
00:43:16,560 --> 00:43:19,920
A kill switch is not disabled the app.

1137
00:43:19,920 --> 00:43:21,760
A kill switch is a control plane decision

1138
00:43:21,760 --> 00:43:23,200
that stops new runs from starting

1139
00:43:23,200 --> 00:43:25,840
and also terminates in-flight runs cleanly.

1140
00:43:25,840 --> 00:43:27,440
Cancel queue tool calls,

1141
00:43:27,440 --> 00:43:28,480
prevent retries,

1142
00:43:28,480 --> 00:43:30,560
and leave a clear halted state

1143
00:43:30,560 --> 00:43:33,600
that humans can resume from or roll back from.

1144
00:43:33,600 --> 00:43:34,480
Without that,

1145
00:43:34,480 --> 00:43:36,080
your incident response will include

1146
00:43:36,080 --> 00:43:37,600
fighting your own automation

1147
00:43:37,600 --> 00:43:39,360
while it keeps trying to help.

1148
00:43:39,360 --> 00:43:41,840
Then you need Quoters Action Quoters per run.

1149
00:43:41,840 --> 00:43:43,440
Action Quoters per hour.

1150
00:43:43,440 --> 00:43:44,640
Resource Quoters per scope.

1151
00:43:44,640 --> 00:43:46,560
If the agent sees 500 alerts

1152
00:43:46,560 --> 00:43:48,400
and decides to remediate all of them,

1153
00:43:48,400 --> 00:43:49,760
that's not productivity.

1154
00:43:49,760 --> 00:43:51,600
That's a denial of service you paid for.

1155
00:43:51,600 --> 00:43:53,360
Quoters force the system to batch,

1156
00:43:53,360 --> 00:43:54,160
to prioritize,

1157
00:43:54,160 --> 00:43:56,480
and to escalate when it hits its allowed limit.

1158
00:43:56,480 --> 00:43:58,000
And you need confidence thresholds

1159
00:43:58,000 --> 00:43:59,360
that actually mean something.

1160
00:43:59,360 --> 00:44:01,120
Not a single confidence score number

1161
00:44:01,120 --> 00:44:03,120
that gets tuned until the system acts.

1162
00:44:03,120 --> 00:44:05,200
You define what constitutes sufficient evidence

1163
00:44:05,200 --> 00:44:06,400
for the class of incident.

1164
00:44:06,400 --> 00:44:07,520
Two independent signals,

1165
00:44:07,520 --> 00:44:08,320
a known signature,

1166
00:44:08,320 --> 00:44:09,680
a validated precondition.

1167
00:44:09,680 --> 00:44:10,720
If those aren't met,

1168
00:44:10,720 --> 00:44:13,120
the agent escalates with the evidence it has and stops.

1169
00:44:13,120 --> 00:44:14,400
That's how you keep autonomy

1170
00:44:14,400 --> 00:44:16,640
from becoming probabilistic improvisation.

1171
00:44:16,640 --> 00:44:18,480
Finally, the escalation contract.

1172
00:44:18,480 --> 00:44:20,080
When it can't act, where does it go?

1173
00:44:20,080 --> 00:44:21,520
ITSM ticket assignment,

1174
00:44:21,520 --> 00:44:22,400
Teams channel,

1175
00:44:22,400 --> 00:44:23,520
on call paging.

1176
00:44:23,520 --> 00:44:24,480
And what does it include?

1177
00:44:24,480 --> 00:44:25,760
It includes the evidence bundle

1178
00:44:25,760 --> 00:44:27,120
and the proposed next action.

1179
00:44:27,120 --> 00:44:28,240
Not a vague summary.

1180
00:44:28,240 --> 00:44:30,240
The goal is to turn human in the loop

1181
00:44:30,240 --> 00:44:31,920
into human as exception handler,

1182
00:44:31,920 --> 00:44:33,760
not human as the default executor.

1183
00:44:33,760 --> 00:44:34,960
And you measure all of this

1184
00:44:34,960 --> 00:44:36,880
because governance without measurement is theatre.

1185
00:44:36,880 --> 00:44:38,640
Track MTTR Delta, sure.

1186
00:44:38,640 --> 00:44:40,480
But also track human in loop rate,

1187
00:44:40,480 --> 00:44:41,440
rollback frequency,

1188
00:44:41,440 --> 00:44:43,600
and the number of times the kill switch gets used.

1189
00:44:43,600 --> 00:44:44,800
If rollbacks are frequent,

1190
00:44:44,800 --> 00:44:46,800
your execution contract is too permissive

1191
00:44:46,800 --> 00:44:48,160
or your verification is weak.

1192
00:44:48,160 --> 00:44:49,440
If the kill switch gets used often,

1193
00:44:49,440 --> 00:44:50,640
you have a drift problem.

1194
00:44:50,640 --> 00:44:52,320
If the human in loop rate never drops,

1195
00:44:52,320 --> 00:44:54,560
you build assistance and call it autonomy.

1196
00:44:54,560 --> 00:44:57,200
So the governance rule for scenario one is brutal and simple.

1197
00:44:57,200 --> 00:44:59,120
Either remediation is least privileged

1198
00:44:59,120 --> 00:45:00,400
with enforceable boundaries

1199
00:45:00,400 --> 00:45:02,720
or it becomes a worm with change control paperwork.

1200
00:45:02,720 --> 00:45:04,320
There is no third state.

1201
00:45:04,320 --> 00:45:06,160
Scenario two, setup.

1202
00:45:06,160 --> 00:45:08,720
Finance reconciliation and close support.

1203
00:45:08,720 --> 00:45:10,720
Finance is where autonomy stops being

1204
00:45:10,720 --> 00:45:13,600
ops automation and turns into institutional trust.

1205
00:45:13,600 --> 00:45:15,920
Because reconciliation isn't a convenience task,

1206
00:45:15,920 --> 00:45:17,840
it's the thing standing between your organization

1207
00:45:17,840 --> 00:45:20,880
and an audit finding that ruins someone's quarter.

1208
00:45:20,880 --> 00:45:22,320
The pain pattern is predictable.

1209
00:45:22,320 --> 00:45:25,120
Close arrives, everyone becomes a human join engine

1210
00:45:25,120 --> 00:45:27,280
and the spreadsheet layer metastasizes.

1211
00:45:27,280 --> 00:45:29,680
People pull exports from the ERP bank feeds,

1212
00:45:29,680 --> 00:45:31,680
expense platforms, procurement systems,

1213
00:45:31,680 --> 00:45:33,760
and whatever temporary tracker someone made

1214
00:45:33,760 --> 00:45:35,840
because the official system was slow.

1215
00:45:35,840 --> 00:45:37,680
Then they spend days matching line items,

1216
00:45:37,680 --> 00:45:39,200
chasing missing references,

1217
00:45:39,200 --> 00:45:41,360
and writing explanations that sound plausible enough

1218
00:45:41,360 --> 00:45:42,240
to survive review.

1219
00:45:42,240 --> 00:45:44,960
And the thing most people miss is that reconciliation work

1220
00:45:44,960 --> 00:45:47,200
has two outputs, not one.

1221
00:45:47,200 --> 00:45:48,960
Yes, you want the numbers to balance.

1222
00:45:48,960 --> 00:45:50,960
But the real product is the rationale.

1223
00:45:50,960 --> 00:45:52,960
Why this transaction matches that one?

1224
00:45:52,960 --> 00:45:54,560
Why this variance exists?

1225
00:45:54,560 --> 00:45:56,560
What policy clause allows the adjustment?

1226
00:45:56,560 --> 00:45:58,160
And who approved the exception?

1227
00:45:58,160 --> 00:45:59,840
Finance doesn't just need an answer.

1228
00:45:59,840 --> 00:46:02,960
It needs an answer that can be re-performed under scrutiny.

1229
00:46:02,960 --> 00:46:04,800
That's why assistance hits a ceiling here.

1230
00:46:04,800 --> 00:46:07,200
Copilot can draft a variance narrative faster.

1231
00:46:07,200 --> 00:46:08,480
It can summarize a spreadsheet.

1232
00:46:08,480 --> 00:46:10,560
It can help a controller write an email.

1233
00:46:10,560 --> 00:46:13,520
But it can't, by itself, create an evidence chain

1234
00:46:13,520 --> 00:46:15,840
that an auditor can replay end to end.

1235
00:46:15,840 --> 00:46:17,200
And without that evidence chain,

1236
00:46:17,200 --> 00:46:18,960
autonomy is not automation.

1237
00:46:18,960 --> 00:46:20,000
It's liability.

1238
00:46:20,000 --> 00:46:21,840
So the autonomy boundary in finance

1239
00:46:21,840 --> 00:46:23,840
has to be drawn differently than in IT.

1240
00:46:23,840 --> 00:46:26,320
In IT remediation, the boundaries usually

1241
00:46:26,320 --> 00:46:28,800
can the agent execute the runbook safely

1242
00:46:28,800 --> 00:46:30,640
and verify service health.

1243
00:46:30,640 --> 00:46:32,400
In finance, the boundary is,

1244
00:46:32,400 --> 00:46:34,000
can the agent justify the action

1245
00:46:34,000 --> 00:46:36,480
with grounded source references and policy alignment

1246
00:46:36,480 --> 00:46:38,960
before it touches anything that affects a ledger?

1247
00:46:38,960 --> 00:46:40,720
Because finance failures are quiet.

1248
00:46:40,720 --> 00:46:42,320
They don't page you at 2 a.m.

1249
00:46:42,320 --> 00:46:44,320
and they show up months later in a room with lawyers.

1250
00:46:44,320 --> 00:46:46,640
The baseline close workflow looks like this.

1251
00:46:46,640 --> 00:46:49,600
Extract data, reconcil, resolve exceptions,

1252
00:46:49,600 --> 00:46:52,240
document rationale, get approvals,

1253
00:46:52,240 --> 00:46:54,720
post-adjustments, report.

1254
00:46:54,720 --> 00:46:56,800
Humans act as translators between systems

1255
00:46:56,800 --> 00:46:59,120
that don't agree on identifiers, timestamps,

1256
00:46:59,120 --> 00:47:01,200
currencies, or the meaning of settled.

1257
00:47:01,200 --> 00:47:03,120
They also act as policy interpreters

1258
00:47:03,120 --> 00:47:05,840
because exception handling is where the judgment lives.

1259
00:47:05,840 --> 00:47:08,880
The agentic target outcome is not replace accountants.

1260
00:47:08,880 --> 00:47:11,440
The agentic target is shrink the exception queue

1261
00:47:11,440 --> 00:47:14,320
and turn routine matching into a deterministic pipeline.

1262
00:47:14,320 --> 00:47:16,320
That means the agent does three things well.

1263
00:47:16,320 --> 00:47:19,440
First, automated matching across known patterns.

1264
00:47:19,440 --> 00:47:22,000
Same vendor, same invoice ID, same amount,

1265
00:47:22,000 --> 00:47:23,440
predictable timing offsets.

1266
00:47:23,440 --> 00:47:25,280
This is boring work, but it's high volume

1267
00:47:25,280 --> 00:47:26,880
and it's where humans burn time

1268
00:47:26,880 --> 00:47:28,720
that should be spent on the weird cases.

1269
00:47:28,720 --> 00:47:31,360
Second, anomaly servicing with real triage.

1270
00:47:31,360 --> 00:47:33,520
Not here are 500 variances.

1271
00:47:33,520 --> 00:47:35,120
But here are the 12 that matter

1272
00:47:35,120 --> 00:47:36,160
with clustering.

1273
00:47:36,160 --> 00:47:38,720
Duplicates currency conversion discrepancies,

1274
00:47:38,720 --> 00:47:40,880
partial shipments, late postings,

1275
00:47:40,880 --> 00:47:42,720
missing purchase order references.

1276
00:47:42,720 --> 00:47:44,480
The value is not finding anomalies.

1277
00:47:44,480 --> 00:47:46,480
The value is reducing the search space.

1278
00:47:46,480 --> 00:47:49,120
Third, auto-resolution for known mismatch classes,

1279
00:47:49,120 --> 00:47:51,840
but only when the execution contract permits it.

1280
00:47:51,840 --> 00:47:53,920
For example, reclassifying transactions

1281
00:47:53,920 --> 00:47:55,760
that meet explicit criteria,

1282
00:47:55,760 --> 00:47:57,120
generating correcting entries

1283
00:47:57,120 --> 00:47:58,960
that are pre-approved under policy

1284
00:47:58,960 --> 00:48:00,720
or preparing a journal entry package

1285
00:48:00,720 --> 00:48:02,960
that is complete and ready for human approval

1286
00:48:02,960 --> 00:48:06,080
when the action crosses a sensitivity threshold.

1287
00:48:06,080 --> 00:48:08,880
And the blunt line for this section needs to land cleanly,

1288
00:48:08,880 --> 00:48:11,840
autonomy that can't explain itself is not automation,

1289
00:48:11,840 --> 00:48:12,960
it's liability.

1290
00:48:12,960 --> 00:48:15,200
Because a finance agent that says trust me

1291
00:48:15,200 --> 00:48:18,240
is just a faster way to create untraceable adjustments.

1292
00:48:18,240 --> 00:48:20,560
The agent must behave like a disciplined analyst.

1293
00:48:20,560 --> 00:48:22,160
Every number tied to a source.

1294
00:48:22,160 --> 00:48:23,760
Every transformation documented,

1295
00:48:23,760 --> 00:48:25,200
every decision bound to policy

1296
00:48:25,200 --> 00:48:27,280
and every action gated by approval

1297
00:48:27,280 --> 00:48:29,840
when the consequences exceed the autonomy boundary.

1298
00:48:29,840 --> 00:48:31,920
Now, let's be precise about systems

1299
00:48:31,920 --> 00:48:34,240
touched without pretending we're doing a product tour.

1300
00:48:34,240 --> 00:48:36,480
Finance reconciliation in a Microsoft enterprise

1301
00:48:36,480 --> 00:48:38,320
will touch at least three surfaces.

1302
00:48:38,320 --> 00:48:40,320
The system of record, the collaboration layer,

1303
00:48:40,320 --> 00:48:41,680
and identity context.

1304
00:48:41,680 --> 00:48:44,880
The system of record is your ERP and its satellites,

1305
00:48:44,880 --> 00:48:48,000
where transactions live and where adjustments ultimately land.

1306
00:48:48,000 --> 00:48:50,960
The collaboration layer is Microsoft 365.

1307
00:48:50,960 --> 00:48:53,680
Excel files, SharePoint or OneDrive stores,

1308
00:48:53,680 --> 00:48:56,080
Teams conversations, email threads that become

1309
00:48:56,080 --> 00:48:58,400
approvals in practice even when they shouldn't.

1310
00:48:58,400 --> 00:49:00,320
An identity context is Entra,

1311
00:49:00,320 --> 00:49:01,840
who is authorized to view,

1312
00:49:01,840 --> 00:49:03,360
who is authorized to propose,

1313
00:49:03,360 --> 00:49:04,480
who is authorized to post,

1314
00:49:04,480 --> 00:49:07,440
and what segregation of duties rules must remain true,

1315
00:49:07,440 --> 00:49:09,360
even when an agent is doing the legwork.

1316
00:49:09,360 --> 00:49:11,920
And this is where the autonomy stack becomes unavoidable.

1317
00:49:11,920 --> 00:49:13,280
Events are the close calendar,

1318
00:49:13,280 --> 00:49:14,320
the arrival of feeds,

1319
00:49:14,320 --> 00:49:16,560
the detection of variances beyond tolerance,

1320
00:49:16,560 --> 00:49:18,800
reasoning is classification and policy mapping.

1321
00:49:18,800 --> 00:49:21,360
Orchestration is dispatching specialized matches

1322
00:49:21,360 --> 00:49:22,560
and anomaly agents.

1323
00:49:22,560 --> 00:49:24,560
Action is creating the adjustment package

1324
00:49:24,560 --> 00:49:26,880
or posting within a constrained scope if allowed.

1325
00:49:26,880 --> 00:49:29,280
Evidence is the entire point.

1326
00:49:29,280 --> 00:49:33,280
A replayable reconciliation run that survives hostile review.

1327
00:49:33,280 --> 00:49:35,680
So scenario two sets up the real enterprise question.

1328
00:49:35,680 --> 00:49:37,200
IT autonomy fails loudly.

1329
00:49:37,200 --> 00:49:39,200
Finance autonomy fails quietly.

1330
00:49:39,200 --> 00:49:40,400
And that's why in the next section,

1331
00:49:40,400 --> 00:49:42,160
the product we design isn't the agent.

1332
00:49:42,160 --> 00:49:43,520
It's the audit trail.

1333
00:49:43,520 --> 00:49:45,920
Scenario two, evidence first design.

1334
00:49:45,920 --> 00:49:47,760
Audit trails as the product.

1335
00:49:47,760 --> 00:49:50,880
Finance autonomy only works when the evidence trail is treated

1336
00:49:50,880 --> 00:49:53,600
as a first class deliverable, not a side effect.

1337
00:49:53,600 --> 00:49:55,280
Most implementations do the opposite.

1338
00:49:55,280 --> 00:49:56,880
They build the reconciliation logic,

1339
00:49:56,880 --> 00:49:58,160
they wire up the connectors,

1340
00:49:58,160 --> 00:50:00,080
they generate a looks right summary,

1341
00:50:00,080 --> 00:50:01,280
and then someone says,

1342
00:50:01,280 --> 00:50:02,800
"We'll add audit later."

1343
00:50:02,800 --> 00:50:04,720
Audit later is how you end up with an agent

1344
00:50:04,720 --> 00:50:06,800
that can move numbers without leaving fingerprints.

1345
00:50:06,800 --> 00:50:07,920
That is not innovation,

1346
00:50:07,920 --> 00:50:09,920
that is a governance incident with better branding.

1347
00:50:09,920 --> 00:50:12,560
So in this scenario, the product is the audit trail.

1348
00:50:12,560 --> 00:50:14,800
The reconciliation result is just the byproduct

1349
00:50:14,800 --> 00:50:16,080
that makes finance care.

1350
00:50:16,080 --> 00:50:17,920
Start with the required artifacts

1351
00:50:17,920 --> 00:50:20,080
because finance doesn't accept vibes as proof.

1352
00:50:20,080 --> 00:50:24,160
Every matched or adjusted item needs source references,

1353
00:50:24,160 --> 00:50:25,440
the transformations applied,

1354
00:50:25,440 --> 00:50:27,200
the rationale and the approval context,

1355
00:50:27,200 --> 00:50:30,080
not as pros, as structured linkable objects,

1356
00:50:30,080 --> 00:50:31,360
a bank line item ID,

1357
00:50:31,360 --> 00:50:32,800
an ERP document ID,

1358
00:50:32,800 --> 00:50:34,800
a file hash or SharePoint version ID

1359
00:50:34,800 --> 00:50:36,160
for the supporting schedule,

1360
00:50:36,160 --> 00:50:37,760
and a pointer to the policy clause

1361
00:50:37,760 --> 00:50:39,280
that authorizes the treatment.

1362
00:50:39,280 --> 00:50:41,840
If the agent can't point back to exactly what it used,

1363
00:50:41,840 --> 00:50:43,680
it can't claim it reconciled anything.

1364
00:50:43,680 --> 00:50:46,160
It just predicted what reconciliation might look like.

1365
00:50:46,160 --> 00:50:47,200
That distinction matters

1366
00:50:47,200 --> 00:50:50,320
because large language models are inherently probabilistic.

1367
00:50:50,320 --> 00:50:52,000
They generate plausible explanations

1368
00:50:52,000 --> 00:50:55,040
unless you force them to operate under grounding constraints.

1369
00:50:55,040 --> 00:50:57,200
In finance, plausible is the enemy.

1370
00:50:57,200 --> 00:50:59,360
So grounding discipline becomes non-negotiable.

1371
00:50:59,360 --> 00:51:00,800
This is not a web search problem.

1372
00:51:00,800 --> 00:51:04,080
This is not, let's ask the internet what GAAP says.

1373
00:51:04,080 --> 00:51:07,440
The agent must operate on controlled enterprise data sources

1374
00:51:07,440 --> 00:51:09,200
with deterministic access boundaries.

1375
00:51:09,200 --> 00:51:10,960
If the system of record is the ERP,

1376
00:51:10,960 --> 00:51:12,640
then the agent reads the ERP.

1377
00:51:12,640 --> 00:51:15,280
If supporting documentation lives in SharePoint,

1378
00:51:15,280 --> 00:51:16,960
then it reads specific libraries

1379
00:51:16,960 --> 00:51:19,360
with specific labels under specific scopes.

1380
00:51:19,360 --> 00:51:20,720
And when it produces a narrative,

1381
00:51:20,720 --> 00:51:21,760
it cites those sources

1382
00:51:21,760 --> 00:51:23,360
like a hostile reviewer will check them

1383
00:51:23,360 --> 00:51:24,160
because they will.

1384
00:51:24,160 --> 00:51:27,200
Now, orchestration finance reconciliation looks like one workflow,

1385
00:51:27,200 --> 00:51:29,440
but it's really a set of specialist behaviors

1386
00:51:29,440 --> 00:51:31,200
coordinated under a strict contract.

1387
00:51:31,200 --> 00:51:33,840
You typically want at least three conceptual agents,

1388
00:51:33,840 --> 00:51:37,120
even if they're implemented as one service, a matching specialist.

1389
00:51:37,120 --> 00:51:40,160
It performs deterministic joins and pattern matches

1390
00:51:40,160 --> 00:51:42,640
with tolerances and rules that are explicit.

1391
00:51:42,640 --> 00:51:44,480
It should prefer boring, explainable logic

1392
00:51:44,480 --> 00:51:46,000
over reasoning whenever possible

1393
00:51:46,000 --> 00:51:49,040
because deterministic matching produces auditability by default.

1394
00:51:49,040 --> 00:51:51,360
An anomaly specialist.

1395
00:51:51,360 --> 00:51:54,000
It clusters exceptions into known classes,

1396
00:51:54,000 --> 00:51:56,560
prioritizes by materiality and risk,

1397
00:51:56,560 --> 00:51:59,440
and flags what cannot be resolved automatically.

1398
00:51:59,440 --> 00:52:02,160
The goal is not to generate a longer exception list.

1399
00:52:02,160 --> 00:52:04,880
The goal is to reduce the controller's search space.

1400
00:52:04,880 --> 00:52:06,080
A policy specialist.

1401
00:52:06,080 --> 00:52:08,560
It maps proposed adjustments to policy.

1402
00:52:08,560 --> 00:52:10,720
Sagregation of duties, approval thresholds,

1403
00:52:10,720 --> 00:52:13,600
materiality rules, and whatever your organization enforces.

1404
00:52:13,600 --> 00:52:15,520
This is where the autonomy boundary lives.

1405
00:52:15,520 --> 00:52:18,000
In finance, the system can propose broadly,

1406
00:52:18,000 --> 00:52:20,000
but it can only execute narrowly

1407
00:52:20,000 --> 00:52:22,480
and only with the approvals the policy requires.

1408
00:52:22,480 --> 00:52:24,080
Then a coordinator ties them together

1409
00:52:24,080 --> 00:52:25,440
and produces a run artifact,

1410
00:52:25,440 --> 00:52:27,360
and that run artifact has to be replayable.

1411
00:52:27,360 --> 00:52:29,360
Replayability is the thing most teams skip

1412
00:52:29,360 --> 00:52:30,800
because it feels like extra work.

1413
00:52:30,800 --> 00:52:31,760
It is not extra work.

1414
00:52:31,760 --> 00:52:34,640
It is the only mechanism that converts agent output

1415
00:52:34,640 --> 00:52:37,040
into operationally defensible automation.

1416
00:52:37,040 --> 00:52:39,440
Replay means you can take the same inputs,

1417
00:52:39,440 --> 00:52:40,800
the same source extracts,

1418
00:52:40,800 --> 00:52:43,600
the same versions of files, the same policy rule set,

1419
00:52:43,600 --> 00:52:46,160
and rerun the logic to get the same outcome.

1420
00:52:46,160 --> 00:52:48,960
Or if the outcome changes, you can prove why.

1421
00:52:48,960 --> 00:52:51,600
A data change, a policy change, or a toolversion change

1422
00:52:51,600 --> 00:52:53,840
without replay post-mortems become storytelling.

1423
00:52:53,840 --> 00:52:55,440
Finance doesn't tolerate storytelling.

1424
00:52:55,440 --> 00:52:56,720
So what does the agent produce?

1425
00:52:56,720 --> 00:52:59,200
It produces variance packs and exception cues

1426
00:52:59,200 --> 00:53:01,840
that look like finance work product, not AI output.

1427
00:53:01,840 --> 00:53:04,560
A variance pack that includes the matched sets,

1428
00:53:04,560 --> 00:53:08,080
the unmatched sets, the transformation steps, and the rationale.

1429
00:53:08,080 --> 00:53:10,640
An exception cue that includes reason codes,

1430
00:53:10,640 --> 00:53:12,160
suggested remediation steps,

1431
00:53:12,160 --> 00:53:14,720
and the minimum approval required to resolve it.

1432
00:53:14,720 --> 00:53:16,800
And it produces controller-ready narratives

1433
00:53:16,800 --> 00:53:18,080
that are grounded.

1434
00:53:18,080 --> 00:53:20,240
Every claim backed by a linked source reference.

1435
00:53:20,240 --> 00:53:23,200
Now metrics because you'll be asked to justify this.

1436
00:53:23,200 --> 00:53:25,600
Time to close for the reconciliation cycle is obvious.

1437
00:53:25,600 --> 00:53:26,400
But it's not enough.

1438
00:53:26,400 --> 00:53:28,960
You track error rate versus human baselines,

1439
00:53:28,960 --> 00:53:31,760
because autonomy that is faster but wrong is not autonomy.

1440
00:53:31,760 --> 00:53:33,440
You track exception backlog aging

1441
00:53:33,440 --> 00:53:35,440
because the goal is to shrink the long tail

1442
00:53:35,440 --> 00:53:37,600
that drags close past the calendar.

1443
00:53:37,600 --> 00:53:39,200
And you track intervention rate.

1444
00:53:39,200 --> 00:53:41,520
How often did humans have to rewrite the rationale?

1445
00:53:41,520 --> 00:53:42,720
Not just approve the package.

1446
00:53:42,720 --> 00:53:44,240
Because if humans keep rewriting it,

1447
00:53:44,240 --> 00:53:46,000
you didn't automate reconciliation.

1448
00:53:46,000 --> 00:53:47,680
You automated draft generation.

1449
00:53:47,680 --> 00:53:50,080
And once you build evidence first,

1450
00:53:50,080 --> 00:53:51,600
you also get a hidden benefit.

1451
00:53:51,600 --> 00:53:52,960
Blast radius containment.

1452
00:53:52,960 --> 00:53:54,800
If every action is tied to a policy clause

1453
00:53:54,800 --> 00:53:56,080
and an approval state,

1454
00:53:56,080 --> 00:53:58,880
the system can't quietly just post the entry.

1455
00:53:58,880 --> 00:54:00,480
It either has the authority and evidence

1456
00:54:00,480 --> 00:54:02,320
or it escalates with a complete package.

1457
00:54:02,320 --> 00:54:04,960
That's the autonomy boundary, but finance flavoured.

1458
00:54:04,960 --> 00:54:07,600
And it's the only version that survives audit season.

1459
00:54:07,600 --> 00:54:09,120
Scenario three, setup.

1460
00:54:09,120 --> 00:54:11,680
Security incident triage without SOC collapse.

1461
00:54:11,680 --> 00:54:14,240
Security is where autonomy stops being a throughput discussion

1462
00:54:14,240 --> 00:54:16,000
and becomes an adversarial one.

1463
00:54:16,000 --> 00:54:18,400
IT remediation fights entropy.

1464
00:54:18,400 --> 00:54:19,920
Finance fights scrutiny.

1465
00:54:19,920 --> 00:54:22,080
Security fights an opponent that adapts.

1466
00:54:22,080 --> 00:54:26,160
And that's why SOC collapse is the most honest autonomy use case you can pick.

1467
00:54:26,160 --> 00:54:29,520
Because the baseline operating model is already broken in most enterprises,

1468
00:54:29,520 --> 00:54:32,080
alert volume grows faster than analyst headcount.

1469
00:54:32,080 --> 00:54:33,520
Fidelity stays mediocre.

1470
00:54:33,520 --> 00:54:37,200
And every new tool adds another stream of signals that mostly become noise.

1471
00:54:37,200 --> 00:54:40,160
So analysts spend their day rooting, enriching,

1472
00:54:40,160 --> 00:54:42,960
and writing summaries that don't prevent the next incident.

1473
00:54:42,960 --> 00:54:43,920
The queue doesn't shrink.

1474
00:54:43,920 --> 00:54:45,280
It churns.

1475
00:54:45,280 --> 00:54:46,640
Defender produces alerts.

1476
00:54:46,640 --> 00:54:48,080
Sentinel produces incidents.

1477
00:54:48,080 --> 00:54:50,000
Identity produces risk events.

1478
00:54:50,000 --> 00:54:51,840
Endpoint telemetry produces anomalies.

1479
00:54:51,840 --> 00:54:53,280
Cloud produces activity logs.

1480
00:54:53,280 --> 00:54:54,800
None of those are inherently wrong.

1481
00:54:54,800 --> 00:54:57,120
The failure is the human bottleneck in the middle.

1482
00:54:57,120 --> 00:55:00,640
A small team forced to do correlation and enrichment manually

1483
00:55:00,640 --> 00:55:04,240
at the exact moment the environment requires speed and consistency.

1484
00:55:04,240 --> 00:55:06,640
So the baseline workflow looks like this.

1485
00:55:06,640 --> 00:55:10,320
Triage, enrich, correlate, decide, contain, document.

1486
00:55:10,320 --> 00:55:12,080
And everyone pretends it's a linear process.

1487
00:55:12,080 --> 00:55:12,560
It isn't.

1488
00:55:12,560 --> 00:55:13,360
It's a loop.

1489
00:55:13,360 --> 00:55:16,400
Analysts, bounds between portals, copy identifiers,

1490
00:55:16,400 --> 00:55:20,320
search for context, and rebuild the same mental model of what happened every time.

1491
00:55:20,320 --> 00:55:22,320
The attacker gets parallelism.

1492
00:55:22,320 --> 00:55:24,000
The defenders get a ticketing queue.

1493
00:55:24,000 --> 00:55:25,360
That asymmetry is the point.

1494
00:55:25,360 --> 00:55:27,600
So when people ask what autonomy is good for,

1495
00:55:27,600 --> 00:55:29,440
security has the cleanest answer.

1496
00:55:29,440 --> 00:55:32,400
Autonomy buys you parallelism under policy.

1497
00:55:32,400 --> 00:55:34,720
It lets you do the mechanical work at machine speed,

1498
00:55:34,720 --> 00:55:37,520
correlation, enrichment, scoping, and low risk containment.

1499
00:55:37,520 --> 00:55:42,080
So humans spend their limited attention on the weird cases that actually require judgment.

1500
00:55:42,080 --> 00:55:44,800
But the autonomy boundary here is brutally non-negotiable.

1501
00:55:44,800 --> 00:55:47,200
A security agent doesn't get to improvise containment.

1502
00:55:47,200 --> 00:55:48,640
It doesn't get to try something.

1503
00:55:48,640 --> 00:55:52,240
It doesn't get to block identities or isolate devices because it feels right.

1504
00:55:52,240 --> 00:55:55,200
It acts only under policy with pre-approved actions,

1505
00:55:55,200 --> 00:55:58,720
bounded scopes, and evidence thresholds that are defined ahead of time.

1506
00:55:58,720 --> 00:56:01,280
Otherwise, you build the most dangerous thing possible.

1507
00:56:01,280 --> 00:56:04,320
An actor in your tenant with the power to disrupt business operations

1508
00:56:04,320 --> 00:56:06,960
guided by probabilistic reasoning during high stress.

1509
00:56:06,960 --> 00:56:10,160
So the agentic objective in this scenario is narrow by design.

1510
00:56:10,160 --> 00:56:12,640
Correlate alerts into coherent narratives.

1511
00:56:12,640 --> 00:56:15,760
Assess blast radius with real signals, not vibes.

1512
00:56:15,760 --> 00:56:19,440
Contain low to medium risk incidents where policy already defines the response

1513
00:56:19,440 --> 00:56:22,640
and generate investigation summaries that humans can trust and replay.

1514
00:56:22,640 --> 00:56:25,040
That means the agent becomes a triage engine

1515
00:56:25,040 --> 00:56:28,480
and a response executor for the boring repeatable cases.

1516
00:56:28,480 --> 00:56:31,600
Suspicious sign-ins with clear identity risk signals,

1517
00:56:31,600 --> 00:56:35,200
commodity malware on endpoints where isolation is already standard,

1518
00:56:35,200 --> 00:56:38,160
impossible travel combined with high confidence fishing,

1519
00:56:38,160 --> 00:56:41,280
known bad tokens, known bad device posture.

1520
00:56:41,280 --> 00:56:44,640
It handles the class of incidents where humans currently waste time

1521
00:56:44,640 --> 00:56:47,120
doing the same steps and it escalates everything else.

1522
00:56:47,120 --> 00:56:50,320
Now the thing most people miss is that security autonomy fails first

1523
00:56:50,320 --> 00:56:52,080
when identities and afterthought,

1524
00:56:52,080 --> 00:56:55,360
because containment is mostly identity and access control actions.

1525
00:56:55,360 --> 00:56:58,560
Revoke sessions, reset passwords, disable accounts,

1526
00:56:58,560 --> 00:57:01,040
block tokens, tighten conditional access,

1527
00:57:01,040 --> 00:57:03,040
remove risky app consent.

1528
00:57:03,040 --> 00:57:05,280
If you can't express those actions as bounded,

1529
00:57:05,280 --> 00:57:08,480
auditable operations under explicit identity constraints,

1530
00:57:08,480 --> 00:57:10,080
you don't have autonomous response.

1531
00:57:10,080 --> 00:57:11,440
You have automated self-harm.

1532
00:57:11,440 --> 00:57:13,600
So you need a hard boundary.

1533
00:57:13,600 --> 00:57:15,280
The agent can recommend broadly,

1534
00:57:15,280 --> 00:57:18,480
but it can only execute in the lanes you've made deterministic.

1535
00:57:18,480 --> 00:57:22,240
And the evidence requirement must be higher than the model is confident.

1536
00:57:22,240 --> 00:57:24,800
It has to be these signals match this response class

1537
00:57:24,800 --> 00:57:27,280
under this policy clause within this scope.

1538
00:57:27,280 --> 00:57:29,200
And the payoff signal for the audience is simple.

1539
00:57:29,200 --> 00:57:31,200
The problem isn't building the containment action.

1540
00:57:31,200 --> 00:57:32,480
Microsoft gives you actions.

1541
00:57:32,480 --> 00:57:35,600
The problem is deciding when the system is allowed to execute them,

1542
00:57:35,600 --> 00:57:38,400
under which identity and how you prove it didn't overreach.

1543
00:57:38,400 --> 00:57:42,000
Because the SOC doesn't get judged by how fast it can generate a summary,

1544
00:57:42,000 --> 00:57:44,000
it gets judged by whether it contained the right thing

1545
00:57:44,000 --> 00:57:45,120
without breaking the business.

1546
00:57:45,120 --> 00:57:49,040
So this scenario is where the autonomy stack becomes visibly real.

1547
00:57:49,040 --> 00:57:51,280
Event ingestion is alerts and incidents,

1548
00:57:51,280 --> 00:57:54,240
reasoning is correlation and classification under policy.

1549
00:57:54,240 --> 00:57:58,160
Orchestration is too rooting across defenders, sentinel and entra,

1550
00:57:58,160 --> 00:58:00,560
action is containment with bounded permissions,

1551
00:58:00,560 --> 00:58:02,720
and evidence is the investigation record

1552
00:58:02,720 --> 00:58:05,280
that ties every step back to signals and policy.

1553
00:58:05,280 --> 00:58:08,000
And in the next section, we map it as an enforcement graph.

1554
00:58:08,000 --> 00:58:10,560
Defender detects, sentinel correlates,

1555
00:58:10,560 --> 00:58:12,240
entra enforces.

1556
00:58:12,240 --> 00:58:14,800
If those three aren't wired into a coherent control plane,

1557
00:58:14,800 --> 00:58:17,760
autonomy won't save the SOC, it will just accelerate the chaos.

1558
00:58:17,760 --> 00:58:21,520
Scenario three, system flow, defender plus sentinel

1559
00:58:21,520 --> 00:58:23,120
plus entra as enforcement graph.

1560
00:58:23,120 --> 00:58:24,880
If scenario three is going to work,

1561
00:58:24,880 --> 00:58:26,560
it needs a real system flow.

1562
00:58:26,560 --> 00:58:28,160
Not the agent checks defender,

1563
00:58:28,160 --> 00:58:29,680
not it uses sentinel.

1564
00:58:29,680 --> 00:58:32,880
A flow where each product plays its actual role in the enterprise,

1565
00:58:32,880 --> 00:58:36,320
defender a signal source, sentinel as correlation and case management,

1566
00:58:36,320 --> 00:58:40,400
entra as the enforcement graph that turns decisions into bounded actions.

1567
00:58:40,400 --> 00:58:41,520
Start with ingestion.

1568
00:58:41,520 --> 00:58:46,880
Defender for endpoint and defender for office generate alerts with raw artifacts,

1569
00:58:46,880 --> 00:58:51,120
device IDs, user principles, process hashes, URLs, mailbox activity,

1570
00:58:51,120 --> 00:58:53,360
and whatever else the detection contains.

1571
00:58:53,360 --> 00:58:57,280
Sentinel ingests those alerts and also brings in everything defender doesn't own.

1572
00:58:57,280 --> 00:59:00,480
Cloud activity logs, firewall events, identity risk events,

1573
00:59:00,480 --> 00:59:02,400
and third party sources if you have them.

1574
00:59:02,400 --> 00:59:05,040
The agent doesn't treat this as "more data."

1575
00:59:05,040 --> 00:59:06,800
It treats it as a graph problem,

1576
00:59:06,800 --> 00:59:09,280
which entities are involved, what relationships exist,

1577
00:59:09,280 --> 00:59:10,640
and what changed recently.

1578
00:59:10,640 --> 00:59:13,360
So the first move in the flow is normalization into entities.

1579
00:59:13,360 --> 00:59:16,640
User device app mailbox IP token session tenant resource.

1580
00:59:16,640 --> 00:59:19,200
If the system can't map the alert to entities,

1581
00:59:19,200 --> 00:59:20,720
it should not execute anything.

1582
00:59:20,720 --> 00:59:23,840
It should escalate for human triage because it can't bound scope.

1583
00:59:23,840 --> 00:59:25,840
Containment without scope is just disruption.

1584
00:59:25,840 --> 00:59:30,080
Then comes reasoning, correlation and blast radius estimation.

1585
00:59:30,080 --> 00:59:31,600
This is where sentinel earns its role.

1586
00:59:31,600 --> 00:59:34,400
Sentinel already builds incidents and correlates signals.

1587
00:59:34,400 --> 00:59:36,800
The agent's job is to query that correlation layer,

1588
00:59:36,800 --> 00:59:38,480
not to reinvent it with reasoning.

1589
00:59:38,480 --> 00:59:41,040
It should pull the incident graph,

1590
00:59:41,040 --> 00:59:45,040
related alerts, linked entities, timeline, known tactics,

1591
00:59:45,040 --> 00:59:46,640
and severity context.

1592
00:59:46,640 --> 00:59:48,960
Then it applies an execution contract decision.

1593
00:59:48,960 --> 00:59:52,000
Does this incident class have an approved autonomous response path?

1594
00:59:52,000 --> 00:59:54,480
That decision is not a vibe check, it's policy.

1595
00:59:54,480 --> 00:59:59,840
Low to medium risk classes with clear response playbooks can be eligible.

1596
00:59:59,840 --> 01:00:02,800
Revoke sessions for a confirmed, risky sign-in,

1597
01:00:02,800 --> 01:00:05,680
isolated device for a high confidence malware alert,

1598
01:00:05,680 --> 01:00:09,120
block a known malicious URL through your existing controls,

1599
01:00:09,120 --> 01:00:12,960
disable a specific OAuth consent that matches a known bad pattern.

1600
01:00:12,960 --> 01:00:17,440
High risk or ambiguous cases get escalated with a complete evidence bundle.

1601
01:00:17,440 --> 01:00:19,760
Now orchestration tool routing.

1602
01:00:19,760 --> 01:00:23,680
This is the part that separates agent as chat from agent as system.

1603
01:00:23,680 --> 01:00:27,680
The agent routes work across a set of tools that already exist.

1604
01:00:27,680 --> 01:00:30,480
Defender APIs for endpoint and email actions,

1605
01:00:30,480 --> 01:00:33,440
Sentinel automation rules or playbooks for workflow,

1606
01:00:33,440 --> 01:00:35,280
Entra for identity enforcement,

1607
01:00:35,280 --> 01:00:37,600
and graph for communications and ticketing.

1608
01:00:37,600 --> 01:00:39,920
The key is that orchestration must be deterministic

1609
01:00:39,920 --> 01:00:42,560
about which tool is authoritative for which action.

1610
01:00:42,560 --> 01:00:45,280
You don't revoke sessions through a random connector

1611
01:00:45,280 --> 01:00:46,880
if Entra is the enforcement point.

1612
01:00:46,880 --> 01:00:49,280
You don't isolate devices through a custom script

1613
01:00:49,280 --> 01:00:52,720
if Defender already provides the actuator and the audit trail.

1614
01:00:52,720 --> 01:00:54,960
Orchestration chooses the canonical actuator

1615
01:00:54,960 --> 01:00:57,120
because that's how you get predictable logs

1616
01:00:57,120 --> 01:00:58,480
and predictable rollback.

1617
01:00:58,480 --> 01:01:01,040
Then we hit action and action should come in two tiers.

1618
01:01:01,040 --> 01:01:02,880
Containment and coordination.

1619
01:01:02,880 --> 01:01:05,760
Containment actions are the hard ones, session revoke,

1620
01:01:05,760 --> 01:01:09,920
password reset initiation, user disablement in narrow conditions,

1621
01:01:09,920 --> 01:01:13,680
device isolation, token blocking, OAuth app consent removal

1622
01:01:13,680 --> 01:01:16,000
and conditional access response patterns.

1623
01:01:16,000 --> 01:01:19,040
Coordination actions are everything that keeps humans aligned.

1624
01:01:19,040 --> 01:01:21,120
Create or update the Sentinel incident,

1625
01:01:21,120 --> 01:01:23,600
open the ITSM ticket if that's your process,

1626
01:01:23,600 --> 01:01:25,680
notify the SOC channel in Teams,

1627
01:01:25,680 --> 01:01:28,240
and ping an on-call human only when thresholds say

1628
01:01:28,240 --> 01:01:29,840
the agent can't close the loop.

1629
01:01:29,840 --> 01:01:32,240
Now the enforcement graph, Entra as the choke point,

1630
01:01:32,240 --> 01:01:34,320
this is where people get comfortable and then get hurt.

1631
01:01:34,320 --> 01:01:37,200
They treat Entra as identity, meaning login and users.

1632
01:01:37,200 --> 01:01:40,400
In reality, it is the decision engine for access across the tenant.

1633
01:01:40,400 --> 01:01:42,080
When the agent takes action, it should do it

1634
01:01:42,080 --> 01:01:43,760
through Entra controlled mechanisms,

1635
01:01:43,760 --> 01:01:47,200
revoking sessions, blocking sign-ins through conditional access,

1636
01:01:47,200 --> 01:01:50,400
where appropriate, adjusting entitlements through scoped rolls

1637
01:01:50,400 --> 01:01:53,600
and ensuring the agent identity itself remains constrained.

1638
01:01:53,600 --> 01:01:56,160
And every action must run as a non-human principle

1639
01:01:56,160 --> 01:01:58,320
with explicit permissions, not global admin,

1640
01:01:58,320 --> 01:02:00,880
not security administrator because it was easier.

1641
01:02:00,880 --> 01:02:03,520
The system should have separate execution identities

1642
01:02:03,520 --> 01:02:05,280
for separate action classes,

1643
01:02:05,280 --> 01:02:07,440
because the moment one identity can do everything,

1644
01:02:07,440 --> 01:02:09,760
the blast radius becomes the entire tenant.

1645
01:02:09,760 --> 01:02:12,160
Again, worm mechanics, just in a blazer.

1646
01:02:12,160 --> 01:02:13,280
Finally, evidence.

1647
01:02:13,280 --> 01:02:16,720
Every run produces a replayable record.

1648
01:02:16,720 --> 01:02:19,360
The alert IDs, incident IDs, entity graph,

1649
01:02:19,360 --> 01:02:21,520
the policy clause that authorised action,

1650
01:02:21,520 --> 01:02:24,240
the exact tool calls the parameters, the identity used,

1651
01:02:24,240 --> 01:02:27,360
the verification checks, and the final state change.

1652
01:02:27,360 --> 01:02:28,960
And verification matters here.

1653
01:02:28,960 --> 01:02:32,720
Session revoked, confirmed, device isolation state confirmed,

1654
01:02:32,720 --> 01:02:36,400
sign-in-risk-reduced confirmed, incident status updated confirmed.

1655
01:02:36,400 --> 01:02:40,160
A verification fails, the system doesn't try harder indefinitely.

1656
01:02:40,160 --> 01:02:42,640
It escalates with the evidence bundle and it stops.

1657
01:02:42,640 --> 01:02:45,840
So the system flow is simple to say, but hard to implement cleanly.

1658
01:02:45,840 --> 01:02:48,160
Defender detects sentinel correlates,

1659
01:02:48,160 --> 01:02:52,480
entra enforces, the agent sits in the middle as an orchestrator under contract.

1660
01:02:52,480 --> 01:02:54,880
If you can't draw that graph and name the boundaries,

1661
01:02:54,880 --> 01:02:56,320
you don't have autonomous triage,

1662
01:02:56,320 --> 01:02:58,560
you have conditional chaos with security branding.

1663
01:02:58,560 --> 01:03:03,440
The limiting factor, identity debt and authorisation sprawl.

1664
01:03:03,440 --> 01:03:06,720
All three scenarios hit the same wall and it's not model quality,

1665
01:03:06,720 --> 01:03:09,600
it's not agent memory, it's not orchestration patterns,

1666
01:03:09,600 --> 01:03:12,800
it's identity debt, identity debt is the inevitable accumulation

1667
01:03:12,800 --> 01:03:14,720
of non-human operators and entitlements

1668
01:03:14,720 --> 01:03:16,960
that your organization cannot explain anymore,

1669
01:03:16,960 --> 01:03:18,880
but still depends on to function.

1670
01:03:18,880 --> 01:03:22,080
Service principles manage identities, app registrations,

1671
01:03:22,080 --> 01:03:24,240
connector identities, delegated permissions,

1672
01:03:24,240 --> 01:03:26,960
certificates, secrets, conditional access exceptions,

1673
01:03:26,960 --> 01:03:30,960
break glass accounts, temporary admin roles that never got removed.

1674
01:03:30,960 --> 01:03:34,000
This clicked for a lot of architects when agents showed up

1675
01:03:34,000 --> 01:03:35,840
because agents don't just consume permissions,

1676
01:03:35,840 --> 01:03:37,040
they operationalize them.

1677
01:03:37,040 --> 01:03:39,920
A human with broad access is a risk,

1678
01:03:39,920 --> 01:03:43,440
but it's a bounded risk, attention, fatigue, and work hours,

1679
01:03:43,440 --> 01:03:44,720
limit blast radius.

1680
01:03:44,720 --> 01:03:47,520
An autonomous executor with broad access is different,

1681
01:03:47,520 --> 01:03:50,560
it can apply that access continuously in parallel

1682
01:03:50,560 --> 01:03:53,680
and without the psychological friction that makes humans hesitate,

1683
01:03:53,680 --> 01:03:56,480
so identity debt is not accidental, it is guaranteed.

1684
01:03:56,480 --> 01:04:00,400
Autonomy makes it visible because it forces you to name the actor.

1685
01:04:00,400 --> 01:04:03,760
Every time you build an agent that does things,

1686
01:04:03,760 --> 01:04:05,280
you must pick an identity,

1687
01:04:05,280 --> 01:04:08,080
and every identity you add expands the authorisation graph,

1688
01:04:08,080 --> 01:04:11,280
new assignments, new scopes, new conditional logic, new exceptions,

1689
01:04:11,280 --> 01:04:12,720
these pathways accumulate.

1690
01:04:13,360 --> 01:04:15,440
This is the foundational misunderstanding.

1691
01:04:15,440 --> 01:04:18,560
Most organizations still treat Entra as an identity provider.

1692
01:04:18,560 --> 01:04:19,520
They are wrong.

1693
01:04:19,520 --> 01:04:22,960
In architectural terms, Entra is a distributed decision engine.

1694
01:04:22,960 --> 01:04:25,600
It continuously compiles policy, role assignments,

1695
01:04:25,600 --> 01:04:27,840
device posture, risk signals, token claims,

1696
01:04:27,840 --> 01:04:30,960
and application constraints into real-time authorisation outcomes.

1697
01:04:30,960 --> 01:04:32,480
And once you introduce agents,

1698
01:04:32,480 --> 01:04:35,440
you're feeding that engine a new species of principle,

1699
01:04:35,440 --> 01:04:38,400
non-human actors that behave like staff but scale like software.

1700
01:04:38,400 --> 01:04:41,280
That distinction matters because the enterprise typically governs

1701
01:04:41,280 --> 01:04:43,680
human identities with social process.

1702
01:04:43,680 --> 01:04:47,200
Onboarding, role changes, manager approvals, quarterly reviews.

1703
01:04:47,200 --> 01:04:50,640
It governs app identities with whatever happened during the project.

1704
01:04:50,640 --> 01:04:52,160
That's where identity debt comes from,

1705
01:04:52,160 --> 01:04:54,800
not misconfiguration, design or mission.

1706
01:04:54,800 --> 01:04:57,600
Now add authorisation sprawl.

1707
01:04:57,600 --> 01:04:59,760
Autonomous work is rarely one permission.

1708
01:04:59,760 --> 01:05:00,960
It's a multi-step chain,

1709
01:05:00,960 --> 01:05:04,560
read telemetry, update a ticket, pull a file, call an API,

1710
01:05:04,560 --> 01:05:08,000
write a config change, post a notification, verify health.

1711
01:05:08,000 --> 01:05:09,520
Each step has a permission surface,

1712
01:05:09,520 --> 01:05:11,680
and you have to grant enough capability for the agent

1713
01:05:11,680 --> 01:05:12,960
to complete the chain.

1714
01:05:12,960 --> 01:05:16,400
Over time, the safest path becomes just give it a bigger role.

1715
01:05:16,400 --> 01:05:18,400
And that's where RBAC starts lying to you.

1716
01:05:18,400 --> 01:05:22,240
RBAC roles tend to be static bundles designed around human job functions.

1717
01:05:22,240 --> 01:05:23,680
Agents don't have job functions.

1718
01:05:23,680 --> 01:05:26,480
They have task graphs, a task graph crosses roles.

1719
01:05:26,480 --> 01:05:28,960
It crosses systems, it crosses environments.

1720
01:05:28,960 --> 01:05:32,560
It also changes over time because the easiest way to evolve an agent

1721
01:05:32,560 --> 01:05:35,360
is to add one more tool and one more action.

1722
01:05:35,360 --> 01:05:38,800
So you end up with a mismatch, static roles versus dynamic execution.

1723
01:05:38,800 --> 01:05:41,760
The organisation tries to solve that mismatch with exceptions.

1724
01:05:41,760 --> 01:05:45,120
Conditional access excludes the agent because the run broke.

1725
01:05:45,120 --> 01:05:47,120
A resource group gets a broader role assignment

1726
01:05:47,120 --> 01:05:49,120
because a remediation failed at 2am.

1727
01:05:49,120 --> 01:05:52,560
A connector gets tenant-wide read because a dataset wasn't available.

1728
01:05:52,560 --> 01:05:54,000
Each exception feels small.

1729
01:05:54,000 --> 01:05:56,000
Each exception is an entropy generator.

1730
01:05:56,000 --> 01:05:58,160
And the real danger isn't the obvious gap.

1731
01:05:58,160 --> 01:06:01,360
It's the ambiguity you create when the same agent behaves differently

1732
01:06:01,360 --> 01:06:04,160
across context because policy drift has accumulated.

1733
01:06:04,160 --> 01:06:07,120
Deterministic intent becomes probabilistic behaviour.

1734
01:06:07,120 --> 01:06:10,240
You can't predict what the agent can do anymore because the authorisation graph

1735
01:06:10,240 --> 01:06:12,560
has become a patchwork of historical compromises.

1736
01:06:12,560 --> 01:06:16,000
This is why identity debt unwinds slower than it accrues.

1737
01:06:16,000 --> 01:06:20,720
It accrues at project speed, one sprint, one fix, one temporary permission.

1738
01:06:20,720 --> 01:06:25,120
It unwinds at audit speed, inventory, review, re-approval, remediation

1739
01:06:25,120 --> 01:06:29,360
and political negotiation with every team that depends on the thing you're trying to remove.

1740
01:06:29,360 --> 01:06:32,240
And in an agentic enterprise, the identities don't just sit there.

1741
01:06:32,240 --> 01:06:35,040
They execute, they touch data, they change state,

1742
01:06:35,040 --> 01:06:39,360
they create evidence trails that ironically prove the access is being used

1743
01:06:39,360 --> 01:06:42,320
which makes it harder to decommission because now it's critical.

1744
01:06:42,320 --> 01:06:46,000
So the limiting factor in autonomy isn't whether the agent can plan.

1745
01:06:46,000 --> 01:06:50,000
It's whether you can constrain execution without collapsing the workflow.

1746
01:06:50,000 --> 01:06:55,200
If you can't express least privilege as an execution contract that maps to actual entitlements,

1747
01:06:55,200 --> 01:06:58,160
the agent either fails constantly so people widen permissions

1748
01:06:58,160 --> 01:06:59,760
or it succeeds unsafely.

1749
01:06:59,760 --> 01:07:02,560
So you accumulate risk until something breaks loudly.

1750
01:07:02,560 --> 01:07:03,920
That's the identity debt trap.

1751
01:07:03,920 --> 01:07:06,880
Either you accept failure and keep humans in the loop forever

1752
01:07:06,880 --> 01:07:09,440
or you accept sprawl and pretend you can govern it later.

1753
01:07:09,440 --> 01:07:10,400
You can't.

1754
01:07:10,400 --> 01:07:12,560
So when someone asks what does Altera really change?

1755
01:07:12,560 --> 01:07:17,120
The honest answer is this, it forces the enterprise to operationalize the autonomy boundary

1756
01:07:17,120 --> 01:07:21,200
as an identity and authorization problem, not a UX problem, not a chat problem.

1757
01:07:21,200 --> 01:07:24,960
And once you see that, the next limiting factor becomes obvious.

1758
01:07:24,960 --> 01:07:30,800
Tool access is the new perimeter and MCP makes that perimeter easier to adopt and easier to lose control of.

1759
01:07:30,800 --> 01:07:33,840
MCP and tool access, one protocol, many new ways to fail.

1760
01:07:33,840 --> 01:07:36,240
MCP is going to feel like progress because it is.

1761
01:07:36,240 --> 01:07:37,680
It standardizes tool access.

1762
01:07:37,680 --> 01:07:42,080
It makes agent can call a tool, stop being a bespoke integration project.

1763
01:07:42,080 --> 01:07:44,400
It turns every SAS system, every internal service,

1764
01:07:44,400 --> 01:07:48,400
every local capability into something an agent runtime can discover and invoke

1765
01:07:48,400 --> 01:07:51,920
without your developers reinventing glue code for the thousandth time.

1766
01:07:51,920 --> 01:07:53,040
And that's the trap.

1767
01:07:53,040 --> 01:07:54,960
Standardization doesn't reduce risk.

1768
01:07:54,960 --> 01:07:56,240
It reduces friction.

1769
01:07:56,240 --> 01:07:59,760
Risk scales with adoption and MCP is designed to accelerate adoption.

1770
01:07:59,760 --> 01:08:05,360
So if you treat MCP as just a protocol, you will wake up with a tool surface area that outgrew your governance model.

1771
01:08:05,360 --> 01:08:09,200
Here is the failure mode to anchor on because it's the one that will actually happen.

1772
01:08:09,200 --> 01:08:13,040
An agent accidentally gains the ability to delete what it should only read,

1773
01:08:13,040 --> 01:08:16,240
not because someone flipped an evil setting, because tool scopes drift,

1774
01:08:16,240 --> 01:08:19,600
because a connector gets reused, because a server gets upgraded,

1775
01:08:19,600 --> 01:08:22,880
because someone adds one method to solve a legitimate business need.

1776
01:08:22,880 --> 01:08:26,560
And the permission model doesn't force reauthorization with the same seriousness

1777
01:08:26,560 --> 01:08:28,080
as adding a new human admin.

1778
01:08:28,080 --> 01:08:31,920
MCP makes tool capabilities composable, composability is how you get outcomes.

1779
01:08:31,920 --> 01:08:36,000
Composibility is also how you get privilege escalation with a paper trail.

1780
01:08:36,000 --> 01:08:41,360
The thing most people miss is that MCP collapses the psychological boundary between data access

1781
01:08:41,360 --> 01:08:43,120
and action execution.

1782
01:08:43,120 --> 01:08:47,440
In a pre-agent world, a connector that reads SharePoint feels like a data integration.

1783
01:08:47,440 --> 01:08:51,040
A connector that changes, entra rolls feels like administration.

1784
01:08:51,040 --> 01:08:53,520
Different teams, different approvals, different audits.

1785
01:08:53,520 --> 01:08:56,080
MCP puts them in the same shape, a tool call.

1786
01:08:56,080 --> 01:09:00,400
That distinction matters because your organization's current control model relies on friction.

1787
01:09:00,400 --> 01:09:03,440
Separate portals, separate owners, separate change boards.

1788
01:09:03,440 --> 01:09:08,480
MCP removes that friction, therefore your design has to replace it with enforceable intent.

1789
01:09:08,480 --> 01:09:09,600
So what breaks first?

1790
01:09:09,600 --> 01:09:10,480
Tools sprawl.

1791
01:09:10,480 --> 01:09:12,720
Every product team will ship an MCP server.

1792
01:09:12,720 --> 01:09:14,480
Every vendor will ship an MCP server.

1793
01:09:14,480 --> 01:09:18,240
Every internal platform team will expose helpful MCP endpoints,

1794
01:09:18,240 --> 01:09:19,920
because it's easier than building a UI.

1795
01:09:19,920 --> 01:09:22,880
And suddenly your agent runtime isn't talking to five systems,

1796
01:09:22,880 --> 01:09:24,400
it's talking to 50.

1797
01:09:24,400 --> 01:09:29,600
And each one comes with its own auth model, its own scope semantics, its own notion of read,

1798
01:09:29,600 --> 01:09:31,280
and its own logging quality.

1799
01:09:31,280 --> 01:09:32,640
That is not interoperability.

1800
01:09:32,640 --> 01:09:34,640
That is an authorization expansion pack.

1801
01:09:34,640 --> 01:09:38,480
Then you get entitlement multiplication, a single business workflow that used to require

1802
01:09:38,480 --> 01:09:43,120
one person with three roles now requires an agent identity with tool access across multiple servers.

1803
01:09:43,120 --> 01:09:47,360
Each server wants credentials, tokens, delegated permissions, app roles,

1804
01:09:47,360 --> 01:09:50,880
secrets, certificates, managed identities, pick your poison.

1805
01:09:50,880 --> 01:09:53,280
And because agents are expected to work end to end,

1806
01:09:53,280 --> 01:09:57,600
the easiest path is to grant broad access so the workflow doesn't get stuck.

1807
01:09:57,600 --> 01:10:01,760
That's how delete permissions show up in a read scenario, not maliciously, inevitably.

1808
01:10:01,760 --> 01:10:06,640
So you need two separate control concepts and enterprises keep blending them until nothing is

1809
01:10:06,640 --> 01:10:09,360
controlled. Discovery is not authorization.

1810
01:10:09,360 --> 01:10:13,440
A registry that lets an agent find MCP servers is not a permission system.

1811
01:10:13,440 --> 01:10:14,480
It's an index.

1812
01:10:14,480 --> 01:10:17,600
It answers what exists, not what is allowed.

1813
01:10:17,600 --> 01:10:21,520
If you confuse those, you've built an ecosystem where it showed up in the registry,

1814
01:10:21,520 --> 01:10:24,000
it becomes the justification for the agent used it.

1815
01:10:24,000 --> 01:10:25,200
That's backwards.

1816
01:10:25,200 --> 01:10:27,040
Authorization must be explicit.

1817
01:10:27,040 --> 01:10:30,240
Per agent identity, per tool, per method, per scope,

1818
01:10:30,240 --> 01:10:32,560
with evidence requirements that can be audited.

1819
01:10:32,560 --> 01:10:35,440
And the allo list has to be enforced in the control plane,

1820
01:10:35,440 --> 01:10:37,680
not politely suggested in runtime code.

1821
01:10:37,680 --> 01:10:40,880
Because runtime code drifts, control planes are supposed to be the thing that doesn't.

1822
01:10:40,880 --> 01:10:43,920
Now ad-versioning because MCP servers won't sit still.

1823
01:10:43,920 --> 01:10:47,840
Servers get new capabilities, methods get renamed, default scopes get widened

1824
01:10:47,840 --> 01:10:50,000
because of ender wants fewer support tickets.

1825
01:10:50,000 --> 01:10:52,800
Breaking changes don't always break the integration.

1826
01:10:52,800 --> 01:10:54,880
Sometimes they break your safety assumptions.

1827
01:10:54,880 --> 01:10:57,120
That's why tool allow listing can't be.

1828
01:10:57,120 --> 01:10:58,800
This server is approved.

1829
01:10:58,800 --> 01:11:01,760
It has to be this server, this version,

1830
01:11:01,760 --> 01:11:04,320
these methods, these scopes, in this environment,

1831
01:11:04,320 --> 01:11:05,920
anything else is trust by branding.

1832
01:11:05,920 --> 01:11:10,480
And the ugly part is that MCP encourages exactly the behavior that creates drift.

1833
01:11:10,480 --> 01:11:11,680
Rapid composition.

1834
01:11:11,680 --> 01:11:13,920
You build an agent, you add a tool, you get a win-you-ship.

1835
01:11:13,920 --> 01:11:16,320
Over time, the tool graph becomes the real perimeter,

1836
01:11:16,320 --> 01:11:18,960
because it defines what the agent can touch.

1837
01:11:18,960 --> 01:11:22,000
So MCP doesn't replace identity debt, it accelerates it.

1838
01:11:22,000 --> 01:11:25,600
Every MCP server you add is another place where entitlements can sprawl

1839
01:11:25,600 --> 01:11:27,520
another place where evidence can be lost,

1840
01:11:27,520 --> 01:11:32,640
another place where temporary access becomes permanent because it unblocked the workflow.

1841
01:11:32,640 --> 01:11:35,040
And yes, Microsoft is leaning into MCP hard,

1842
01:11:35,040 --> 01:11:37,840
Teams AI library agent platforms, Windows registries,

1843
01:11:37,840 --> 01:11:39,840
that's not a warning that MCP is bad.

1844
01:11:39,840 --> 01:11:42,080
It's a warning that MCP will be everywhere,

1845
01:11:42,080 --> 01:11:46,160
therefore your enterprise needs to treat tool access like production infrastructure.

1846
01:11:46,160 --> 01:11:49,040
Because in an autonomous enterprise, tools are actuators,

1847
01:11:49,040 --> 01:11:51,200
and actuators are weapons if you don't constrain them.

1848
01:11:51,200 --> 01:11:53,840
So if you remember one rule from this section, make it this.

1849
01:11:53,840 --> 01:11:56,080
MCP makes action cheap.

1850
01:11:56,080 --> 01:11:58,640
Governance has to make unsafe action impossible,

1851
01:11:58,640 --> 01:12:00,880
otherwise you didn't build an agent platform.

1852
01:12:00,880 --> 01:12:04,320
You build a fast path to conditional chaos with standardized APIs.

1853
01:12:04,320 --> 01:12:08,320
Observability and replayability, the only cure for agent sites, so.

1854
01:12:08,320 --> 01:12:12,960
MCP makes action cheap, that means the enterprise has to make accountability unavoidable.

1855
01:12:12,960 --> 01:12:16,640
Because once agents start acting, the failure mode isn't the model was wrong.

1856
01:12:16,640 --> 01:12:20,560
The failure mode is that nobody can prove what happened in what order,

1857
01:12:20,560 --> 01:12:22,720
under which permissions, and based on which inputs.

1858
01:12:22,720 --> 01:12:25,280
That's how you end up in the worst possible incident review,

1859
01:12:25,280 --> 01:12:29,840
a room full of senior people reconstructing reality from screenshots and vibes.

1860
01:12:29,840 --> 01:12:33,520
Without observability, autonomy degenerates into agent set, so.

1861
01:12:33,520 --> 01:12:36,560
An agent set, so is not evidence, it's a resignation letter.

1862
01:12:36,560 --> 01:12:40,560
So the core requirement for an autonomous enterprise is not better prompting.

1863
01:12:40,560 --> 01:12:43,840
It's a telemetry model that treats every run like a production change,

1864
01:12:43,840 --> 01:12:45,840
recorded, attributable, and replayable.

1865
01:12:45,840 --> 01:12:48,560
Start with what has to be captured, not optionally.

1866
01:12:48,560 --> 01:12:52,000
By contract, inputs, the event payloads, ticket fields, alert IDs,

1867
01:12:52,000 --> 01:12:56,320
file versions, data extracts, and the exact prompt instructions that shape decisions.

1868
01:12:56,320 --> 01:13:00,000
If the agent used a SharePoint file, you need the file identity in version.

1869
01:13:00,000 --> 01:13:03,040
If it used a Sentinel incident, you need the incident ID,

1870
01:13:03,040 --> 01:13:05,200
and the related entity graph snapshot.

1871
01:13:05,200 --> 01:13:10,080
If it used work data, you need the scope that defined what work data meant at that moment.

1872
01:13:10,080 --> 01:13:13,760
Then decisions, the branching points, what class did it assign the incident to?

1873
01:13:13,760 --> 01:13:15,200
Which policy clause did it map to?

1874
01:13:15,200 --> 01:13:17,760
Which confidence threshold did it claim it met?

1875
01:13:17,760 --> 01:13:19,680
Which evidence requirement did it satisfy?

1876
01:13:19,680 --> 01:13:20,160
And how?

1877
01:13:20,160 --> 01:13:23,440
The thing most people miss is that decisions are more important than outputs.

1878
01:13:23,440 --> 01:13:24,880
Outputs are easy to store.

1879
01:13:24,880 --> 01:13:26,880
Decisions are where accountability lives.

1880
01:13:26,880 --> 01:13:29,840
Then tool calls, every tool in vocation with parameters.

1881
01:13:29,840 --> 01:13:30,880
Which API endpoint?

1882
01:13:30,880 --> 01:13:31,520
Which method?

1883
01:13:31,520 --> 01:13:32,080
Which scope?

1884
01:13:32,080 --> 01:13:32,880
Which identity?

1885
01:13:32,880 --> 01:13:34,240
Which resource IDs?

1886
01:13:34,240 --> 01:13:35,120
And the response?

1887
01:13:35,120 --> 01:13:37,040
If an agent restarts a service,

1888
01:13:37,040 --> 01:13:40,320
you log the resource ID, the operation ID, and the result state.

1889
01:13:40,320 --> 01:13:42,880
If it revokes a session, you log the principle,

1890
01:13:42,880 --> 01:13:46,480
the token session identifiers, if available, and the confirmation.

1891
01:13:46,480 --> 01:13:49,120
This has to be structured data, not a chat transcript,

1892
01:13:49,120 --> 01:13:51,600
chat transcripts or theater, tool calls or facts.

1893
01:13:51,600 --> 01:13:54,080
Then actions and state changes, what changed in Azure,

1894
01:13:54,080 --> 01:13:56,640
what changed in Entra, what changed in the ITSM record,

1895
01:13:56,640 --> 01:13:57,840
what messages were sent,

1896
01:13:57,840 --> 01:14:01,280
and critically, what verification checks were executed after the action.

1897
01:14:01,280 --> 01:14:05,520
If the contract says verify health probe green, show the probe result.

1898
01:14:05,520 --> 01:14:08,240
Not the sentence verified successfully.

1899
01:14:08,240 --> 01:14:10,560
Finally, outputs, the human facing artifact,

1900
01:14:10,560 --> 01:14:12,640
the incident report, the reconciliation pack,

1901
01:14:12,640 --> 01:14:14,640
the investigation summary, those are important,

1902
01:14:14,640 --> 01:14:15,840
but they are downstream.

1903
01:14:15,840 --> 01:14:17,680
They should be generated from the run record,

1904
01:14:17,680 --> 01:14:19,920
not written as free form narrative that drifts away

1905
01:14:19,920 --> 01:14:21,200
from what actually happened.

1906
01:14:21,200 --> 01:14:24,320
Now auditability, audit does not care that an agent is clever,

1907
01:14:24,320 --> 01:14:27,120
audit cares that identity and action are linkable.

1908
01:14:27,120 --> 01:14:30,080
Who or what took the action and under what authorization?

1909
01:14:30,080 --> 01:14:32,560
That means your run record must tie to the non-human principle,

1910
01:14:32,560 --> 01:14:34,320
the role assignments active at the time

1911
01:14:34,320 --> 01:14:36,640
and any approval objects that were required.

1912
01:14:36,640 --> 01:14:39,920
If you can't link action to authorization deterministically,

1913
01:14:39,920 --> 01:14:43,360
you didn't automate work, you automated liability.

1914
01:14:43,360 --> 01:14:44,880
Cost controls also live here,

1915
01:14:44,880 --> 01:14:47,840
and this is where most teams accidentally build infinite loops

1916
01:14:47,840 --> 01:14:48,480
with a budget.

1917
01:14:48,480 --> 01:14:51,520
You need to track token usage, tool usage, action volume,

1918
01:14:51,520 --> 01:14:53,520
retry as and failure loops per run,

1919
01:14:53,520 --> 01:14:54,800
not to optimize the model,

1920
01:14:54,800 --> 01:14:57,520
to enforce blast radius on compute and on action.

1921
01:14:57,520 --> 01:15:00,560
If an agent gets stuck and calls the same tool 50 times,

1922
01:15:00,560 --> 01:15:02,080
that's not persistence.

1923
01:15:02,080 --> 01:15:04,880
That's a runaway process. Observability is how you detect it.

1924
01:15:04,880 --> 01:15:06,560
Control plane limits are how you stop it.

1925
01:15:06,560 --> 01:15:08,400
And now the real point, replayability.

1926
01:15:08,400 --> 01:15:10,560
Replayability means you can re-execute the run

1927
01:15:10,560 --> 01:15:11,840
in a controlled environment

1928
01:15:11,840 --> 01:15:14,320
and see the same decisions with the same inputs.

1929
01:15:14,320 --> 01:15:15,600
Or if something differs,

1930
01:15:15,600 --> 01:15:17,040
you can point to the exact delta,

1931
01:15:17,040 --> 01:15:18,000
different data version,

1932
01:15:18,000 --> 01:15:19,040
different policy version,

1933
01:15:19,040 --> 01:15:21,120
different tool version, different model version.

1934
01:15:21,120 --> 01:15:24,000
That is how you do post mortems without mythology

1935
01:15:24,000 --> 01:15:25,680
because without replay incident review

1936
01:15:25,680 --> 01:15:26,800
becomes storytelling.

1937
01:15:26,800 --> 01:15:28,960
Humans, fill gaps, teams protect themselves.

1938
01:15:28,960 --> 01:15:31,360
People argue about what the agent meant.

1939
01:15:31,360 --> 01:15:33,360
None of that matters. The system did what it did.

1940
01:15:33,360 --> 01:15:36,240
Replay is how you stop debating and start fixing.

1941
01:15:36,240 --> 01:15:38,720
And replayability changes governance behavior.

1942
01:15:38,720 --> 01:15:41,200
It forces you to version your execution contracts.

1943
01:15:41,200 --> 01:15:43,440
It forces you to treat tool scopes like code.

1944
01:15:43,440 --> 01:15:45,120
It forces you to notice drift.

1945
01:15:45,120 --> 01:15:47,920
When a server update widens capabilities replay breaks,

1946
01:15:47,920 --> 01:15:50,160
therefore someone has to re-approved the new behavior.

1947
01:15:50,160 --> 01:15:51,760
That is the point.

1948
01:15:51,760 --> 01:15:54,480
So the cure for agent said so is a run ledger,

1949
01:15:54,480 --> 01:15:56,080
immutable enough to trust,

1950
01:15:56,080 --> 01:15:59,600
detailed enough to diagnose and structured enough to audit.

1951
01:15:59,600 --> 01:16:01,920
If you don't build that, autonomy won't scale

1952
01:16:01,920 --> 01:16:03,280
because trust won't scale.

1953
01:16:03,280 --> 01:16:05,440
Now, once you can observe and replay,

1954
01:16:05,440 --> 01:16:07,040
you can do the next uncomfortable thing.

1955
01:16:07,040 --> 01:16:09,520
You can compute ROI without fantasy

1956
01:16:09,520 --> 01:16:11,920
because you can finally count outcomes,

1957
01:16:11,920 --> 01:16:14,000
interventions, rollbacks,

1958
01:16:14,000 --> 01:16:16,320
and policy violations as data,

1959
01:16:16,320 --> 01:16:17,280
not opinions.

1960
01:16:17,280 --> 01:16:20,640
ROI, without fantasy,

1961
01:16:20,640 --> 01:16:23,040
cost, speed, and risk is one equation.

1962
01:16:23,040 --> 01:16:24,640
Once you can observe and replay,

1963
01:16:24,640 --> 01:16:27,200
you can finally talk about ROI without lying to yourself.

1964
01:16:27,920 --> 01:16:30,880
Most agent ROI decks are token math and vibes.

1965
01:16:30,880 --> 01:16:33,040
Tokens are cheap, therefore we saved money,

1966
01:16:33,040 --> 01:16:34,640
or time saved per employee,

1967
01:16:34,640 --> 01:16:36,320
therefore we gained capacity.

1968
01:16:36,320 --> 01:16:37,440
That's assistance logic.

1969
01:16:37,440 --> 01:16:38,480
It's fine for co-pilot.

1970
01:16:38,480 --> 01:16:40,800
It's the wrong accounting model for autonomy.

1971
01:16:40,800 --> 01:16:43,040
Because autonomy doesn't sell you better sentences.

1972
01:16:43,040 --> 01:16:44,320
It sells you closed loops.

1973
01:16:44,320 --> 01:16:46,480
So the unit of value isn't cost per chat.

1974
01:16:46,480 --> 01:16:47,760
It's cost per outcome.

1975
01:16:47,760 --> 01:16:49,200
Cost per resolved incident,

1976
01:16:49,200 --> 01:16:51,280
cost per reconciled variance pack,

1977
01:16:51,280 --> 01:16:54,080
cost per contained low-risk security incident,

1978
01:16:54,080 --> 01:16:56,400
with an evidence bundle that survives review.

1979
01:16:56,400 --> 01:16:58,400
If you can't measure cost per outcome,

1980
01:16:58,400 --> 01:17:00,080
you are not doing ROI.

1981
01:17:00,080 --> 01:17:01,600
You're doing procurement theater.

1982
01:17:01,600 --> 01:17:04,320
Start with cost, but define it like an operator.

1983
01:17:04,320 --> 01:17:06,240
Direct compute is the easy part.

1984
01:17:06,240 --> 01:17:09,440
Model calls, orchestration runtime, tool call overhead.

1985
01:17:09,440 --> 01:17:10,320
You should measure that,

1986
01:17:10,320 --> 01:17:12,480
but you should treat it as a marginal cost

1987
01:17:12,480 --> 01:17:15,280
on top of the real cost driver, human intervention.

1988
01:17:15,280 --> 01:17:16,800
Every time the agent escalates,

1989
01:17:16,800 --> 01:17:19,440
pauses, asks for approval or fails verification,

1990
01:17:19,440 --> 01:17:20,800
and needs a human to clean up.

1991
01:17:20,800 --> 01:17:23,120
That's labor cost injected back into the loop.

1992
01:17:23,120 --> 01:17:24,640
And it's not just the time spent.

1993
01:17:24,640 --> 01:17:25,760
It's the context switch.

1994
01:17:25,760 --> 01:17:27,040
It's the seniority tax,

1995
01:17:27,040 --> 01:17:28,800
because exceptions tend to land

1996
01:17:28,800 --> 01:17:30,960
on the most expensive humans you have.

1997
01:17:30,960 --> 01:17:33,440
If an agent creates more exceptions than it resolves,

1998
01:17:33,440 --> 01:17:36,400
congratulations, you automated the worst part of the job.

1999
01:17:36,400 --> 01:17:38,080
Now speed, and this is where enterprises

2000
01:17:38,080 --> 01:17:39,600
keep using the wrong metric.

2001
01:17:39,600 --> 01:17:41,760
Speed isn't how fast did it respond.

2002
01:17:41,760 --> 01:17:43,040
Speed is Q behavior.

2003
01:17:43,040 --> 01:17:45,840
Q depth never goes down when the system can't close.

2004
01:17:45,840 --> 01:17:47,280
Tickets churn, not close.

2005
01:17:47,280 --> 01:17:48,560
Analysts become routers.

2006
01:17:48,560 --> 01:17:50,800
Controllers become spreadsheet traffic cops.

2007
01:17:50,800 --> 01:17:53,680
Autonomy wins when it reduces Q depth over time,

2008
01:17:53,680 --> 01:17:55,840
not when it generates a faster first reply.

2009
01:17:55,840 --> 01:17:58,240
So measure time to close, not time to first action.

2010
01:17:58,240 --> 01:17:59,680
Measure throughput under load.

2011
01:17:59,680 --> 01:18:02,160
How many incidents closed per day at peak volume

2012
01:18:02,160 --> 01:18:03,520
with the same head count?

2013
01:18:03,520 --> 01:18:04,800
Measure backlog aging.

2014
01:18:04,800 --> 01:18:08,080
How long do exceptions sit before a human touches them?

2015
01:18:08,080 --> 01:18:10,000
And measure the shape of the distribution,

2016
01:18:10,000 --> 01:18:12,400
not just the average, because the average hides your long tail.

2017
01:18:12,400 --> 01:18:13,840
The long tail is where trust dies.

2018
01:18:13,840 --> 01:18:16,160
Now risk, because this is the part that turns ROI

2019
01:18:16,160 --> 01:18:17,760
into a real enterprise conversation.

2020
01:18:17,760 --> 01:18:19,120
Risk isn't a moral concept.

2021
01:18:19,120 --> 01:18:21,040
It's an operational metric, intervention rate,

2022
01:18:21,040 --> 01:18:24,240
rollback rate, policy violations, and audit exceptions.

2023
01:18:24,240 --> 01:18:26,400
Those are the things that make your autonomy program

2024
01:18:26,400 --> 01:18:28,080
politically unsustainable.

2025
01:18:28,080 --> 01:18:30,880
If intervention rate is high, you didn't build autonomy.

2026
01:18:30,880 --> 01:18:33,200
You built a noisy assistant that still needs a person

2027
01:18:33,200 --> 01:18:34,320
to finish the job.

2028
01:18:34,320 --> 01:18:36,720
If rollback rate is high, your verification is weak

2029
01:18:36,720 --> 01:18:39,120
or your execution contract is too permissive.

2030
01:18:39,120 --> 01:18:42,240
If policy violations occur, your control plane is ornamental.

2031
01:18:42,240 --> 01:18:44,240
And if audit exceptions appear,

2032
01:18:44,240 --> 01:18:46,080
finance and security will shut you down,

2033
01:18:46,080 --> 01:18:48,640
regardless of how productive it felt in a demo.

2034
01:18:48,640 --> 01:18:49,840
This is the uncomfortable truth.

2035
01:18:49,840 --> 01:18:51,680
In autonomy, risk has a cost curve.

2036
01:18:51,680 --> 01:18:53,920
The first policy breach costs your credibility.

2037
01:18:53,920 --> 01:18:56,480
The second costs your budget, the third costs you the program.

2038
01:18:56,480 --> 01:18:59,280
So the equation you should run is brutally simple.

2039
01:18:59,280 --> 01:19:02,080
Cost per outcome equals, compute plus tool usage,

2040
01:19:02,080 --> 01:19:05,360
plus human intervention, plus remediation overhead from failures.

2041
01:19:05,360 --> 01:19:08,400
Speed equals outcomes per unit time under real load,

2042
01:19:08,400 --> 01:19:11,680
reflected as reduced queue depth and reduced backlog aging.

2043
01:19:11,680 --> 01:19:15,040
Risk equals the rate at which outcomes required rollback,

2044
01:19:15,040 --> 01:19:18,560
violated policy, or produced evidence that didn't pass review.

2045
01:19:18,560 --> 01:19:20,480
And you don't get to optimize one in isolation.

2046
01:19:20,480 --> 01:19:22,960
If you reduce cost by lowering evidence requirements,

2047
01:19:22,960 --> 01:19:24,000
you increase risk.

2048
01:19:24,000 --> 01:19:25,920
If you increase speed by widening permissions,

2049
01:19:25,920 --> 01:19:27,440
you increase blast radius.

2050
01:19:27,440 --> 01:19:30,800
If you reduce risk by forcing human approvals everywhere,

2051
01:19:30,800 --> 01:19:33,440
you collapse autonomy back into faster labor.

2052
01:19:33,440 --> 01:19:35,600
That distinction matters because executives will ask,

2053
01:19:35,600 --> 01:19:37,680
should we just buy more copilot seats?

2054
01:19:37,680 --> 01:19:40,000
And the honest answer is copilot boosts individuals,

2055
01:19:40,000 --> 01:19:41,680
autonomy boosts system throughput.

2056
01:19:41,680 --> 01:19:44,320
Copilot makes one analyst faster at triage.

2057
01:19:44,320 --> 01:19:47,600
Autonomy makes the queue smaller even when the analyst isn't there.

2058
01:19:47,600 --> 01:19:50,640
And that's the only kind of ROI that survives budget season,

2059
01:19:50,640 --> 01:19:52,480
because it shows up as fewer open tickets,

2060
01:19:52,480 --> 01:19:54,640
faster close cycles and fewer policy incidents,

2061
01:19:54,640 --> 01:19:55,920
not happier anecdotes.

2062
01:19:55,920 --> 01:19:58,720
So if you want one practical test before you show a single number,

2063
01:19:58,720 --> 01:19:59,600
it's this.

2064
01:19:59,600 --> 01:20:01,520
Pick a workflow where the queue never shrinks.

2065
01:20:01,520 --> 01:20:02,800
The tickets keep coming.

2066
01:20:02,800 --> 01:20:04,800
The team keeps working hard.

2067
01:20:04,800 --> 01:20:06,400
And yet the backlog ages anyway.

2068
01:20:06,400 --> 01:20:08,240
If autonomy can't change that queue shape,

2069
01:20:08,240 --> 01:20:09,520
it's not an autonomy investment.

2070
01:20:09,520 --> 01:20:11,200
It's a chat interface with ambition.

2071
01:20:11,200 --> 01:20:13,840
And now that you can define ROI like an adult,

2072
01:20:13,840 --> 01:20:16,720
you can do the next thing most organizations avoid.

2073
01:20:16,720 --> 01:20:20,080
Decide when autonomy is worth it and when the correct answer is no.

2074
01:20:20,080 --> 01:20:21,440
Decision framework.

2075
01:20:21,440 --> 01:20:23,840
When autonomy is worth it, when to say no.

2076
01:20:23,840 --> 01:20:26,880
Here's the decision framework executives keep asking for

2077
01:20:26,880 --> 01:20:30,000
and architects keep avoiding because it forces a real answer.

2078
01:20:30,000 --> 01:20:32,400
Autonomy is worth it when the work is repeatable.

2079
01:20:32,400 --> 01:20:34,880
The ownership is explicit and the system already

2080
01:20:34,880 --> 01:20:37,200
emits enough telemetry to verify success.

2081
01:20:37,200 --> 01:20:38,400
Not logs exist.

2082
01:20:38,400 --> 01:20:41,280
Telemetry that can prove the outcome

2083
01:20:41,280 --> 01:20:43,280
without a human squinting at a dashboard.

2084
01:20:43,280 --> 01:20:44,480
That's the first gate.

2085
01:20:44,480 --> 01:20:46,480
Second gate, the action surface is enforceable.

2086
01:20:46,480 --> 01:20:49,360
You can name the tools, scopes and identities involved.

2087
01:20:49,360 --> 01:20:50,960
You can write an execution contract

2088
01:20:50,960 --> 01:20:52,640
that the runtime can't negotiate with.

2089
01:20:52,640 --> 01:20:54,800
If you can't, you're not evaluating autonomy.

2090
01:20:54,800 --> 01:20:56,320
You're evaluating optimism.

2091
01:20:56,320 --> 01:21:00,640
Third gate, you can define escalation contracts in advance.

2092
01:21:00,640 --> 01:21:02,240
When the agent hits ambiguity,

2093
01:21:02,240 --> 01:21:04,640
it doesn't stall silently and it doesn't improvise.

2094
01:21:04,640 --> 01:21:06,640
It roots to a human with the evidence bundle

2095
01:21:06,640 --> 01:21:08,080
and a proposed next action.

2096
01:21:08,080 --> 01:21:09,600
Humans become exception handlers.

2097
01:21:09,600 --> 01:21:11,600
If humans are still the default executor,

2098
01:21:11,600 --> 01:21:12,960
you bought faster labor.

2099
01:21:12,960 --> 01:21:15,920
Now the no criteria because mature teams say no early

2100
01:21:15,920 --> 01:21:17,760
and save themselves a year of politics,

2101
01:21:17,760 --> 01:21:19,360
say no when approvals are ambiguous.

2102
01:21:19,360 --> 01:21:21,680
If you can't express who is allowed to approve what?

2103
01:21:21,680 --> 01:21:23,280
As machine readable policy,

2104
01:21:23,280 --> 01:21:25,680
autonomy will either freeze or bypass the process.

2105
01:21:25,680 --> 01:21:28,400
Both outcomes are failures, just with different paperwork.

2106
01:21:28,400 --> 01:21:30,480
Say no when data boundaries are unclear.

2107
01:21:30,480 --> 01:21:33,040
If you're all can't name which systems are authoritative

2108
01:21:33,040 --> 01:21:35,120
and which are just spreadsheets people trust,

2109
01:21:35,120 --> 01:21:37,360
you're going to ground the agent on the wrong truth

2110
01:21:37,360 --> 01:21:39,120
and then argue about it for months.

2111
01:21:39,120 --> 01:21:42,160
Finance and security will not tolerate that ambiguity.

2112
01:21:42,160 --> 01:21:44,400
Say no when the audit surface doesn't exist.

2113
01:21:44,400 --> 01:21:46,400
If you cannot capture inputs, decisions,

2114
01:21:46,400 --> 01:21:49,520
tool calls and verification as a replayable run record,

2115
01:21:49,520 --> 01:21:52,720
you will eventually end up with agents said so in front of leadership.

2116
01:21:52,720 --> 01:21:54,160
That's the end of the program

2117
01:21:54,160 --> 01:21:57,360
and say no when nobody owns the page, autonomy shifts ownership.

2118
01:21:57,360 --> 01:21:58,480
It doesn't remove it.

2119
01:21:58,480 --> 01:22:01,120
If the failure mode is, everyone is responsible,

2120
01:22:01,120 --> 01:22:03,840
then no one will fix the control plane when it drifts

2121
01:22:03,840 --> 01:22:06,480
and the agent will inherit a decaying policy model.

2122
01:22:06,480 --> 01:22:08,160
So the maturity gates are simple.

2123
01:22:08,160 --> 01:22:09,520
Identity readiness.

2124
01:22:09,520 --> 01:22:12,720
Can you issue non-human principles with narrow scopes

2125
01:22:12,720 --> 01:22:14,400
and life cycle controls?

2126
01:22:14,400 --> 01:22:15,760
Tool registry readiness.

2127
01:22:15,760 --> 01:22:19,600
Can you enumerate and allow list what exists versus what's allowed?

2128
01:22:19,600 --> 01:22:20,560
Evidence readiness.

2129
01:22:20,560 --> 01:22:24,560
Can you produce replayable runs that survive post mortems and audits?

2130
01:22:24,560 --> 01:22:27,200
Now human in the loop design, this isn't about feelings,

2131
01:22:27,200 --> 01:22:28,400
it's about thresholds.

2132
01:22:28,400 --> 01:22:31,200
Define explicit confidence thresholds per action class.

2133
01:22:31,200 --> 01:22:33,600
Define evidence requirements per incident class.

2134
01:22:33,600 --> 01:22:35,520
Define what triggers elevation,

2135
01:22:35,520 --> 01:22:38,480
what triggers approval and what triggers escalation.

2136
01:22:38,480 --> 01:22:41,120
Don't let human in the loop become a permanent crutch

2137
01:22:41,120 --> 01:22:43,520
and don't let full autonomy become a marketing goal.

2138
01:22:43,520 --> 01:22:46,400
The autonomy boundary is a control surface treated like one.

2139
01:22:46,400 --> 01:22:48,880
And the operating model is the part most org skip

2140
01:22:48,880 --> 01:22:50,400
because it's boring and political.

2141
01:22:50,400 --> 01:22:52,400
Who owns agent failures, not the dev team,

2142
01:22:52,400 --> 01:22:54,640
not AI, the business owner of the workflow?

2143
01:22:54,640 --> 01:22:56,160
Who owns policy changes?

2144
01:22:56,160 --> 01:22:57,920
The team that owns the control plane

2145
01:22:57,920 --> 01:23:00,320
with change control like any other enforcement system?

2146
01:23:00,320 --> 01:23:01,440
Who owns the tool scopes?

2147
01:23:01,440 --> 01:23:02,240
The tool owners?

2148
01:23:02,240 --> 01:23:04,800
With versioning and re-approval when capabilities change.

2149
01:23:04,800 --> 01:23:06,880
That's the framework if it sounds strict good.

2150
01:23:06,880 --> 01:23:08,880
Autonomy is strictness automated.

2151
01:23:08,880 --> 01:23:10,160
Implementation payoff.

2152
01:23:10,160 --> 01:23:12,880
The 30-day autonomy pilot that doesn't embarrass you.

2153
01:23:12,880 --> 01:23:15,920
If you want a 30-day pilot that survives contact with reality,

2154
01:23:15,920 --> 01:23:16,960
pick one domain.

2155
01:23:16,960 --> 01:23:18,960
IT remediation or security triage.

2156
01:23:18,960 --> 01:23:20,640
Don't run three pilots in parallel

2157
01:23:20,640 --> 01:23:22,400
and call the confusion learning.

2158
01:23:22,400 --> 01:23:24,160
Write three policies on day one,

2159
01:23:24,160 --> 01:23:26,160
allowed actions, evidence requirements

2160
01:23:26,160 --> 01:23:28,560
with confidence thresholds and escalation paths

2161
01:23:28,560 --> 01:23:30,000
with named owners.

2162
01:23:30,000 --> 01:23:32,000
Stand up evidence before you stand up autonomy.

2163
01:23:32,000 --> 01:23:33,760
Action logs, tool call capture

2164
01:23:33,760 --> 01:23:37,040
and replayable run records mapped to your audit expectations.

2165
01:23:37,040 --> 01:23:39,360
If you can't replay a run, you can't defend it.

2166
01:23:39,360 --> 01:23:41,120
Then measure the only metrics that matter.

2167
01:23:41,120 --> 01:23:41,920
Time to close.

2168
01:23:41,920 --> 01:23:44,160
MTTR delta, human enlub rate,

2169
01:23:44,160 --> 01:23:46,080
rollback rate and policy violations.

2170
01:23:46,080 --> 01:23:47,360
If those don't move, stop.

2171
01:23:47,360 --> 01:23:48,400
Don't rebrand.

2172
01:23:48,400 --> 01:23:51,600
Autonomy becomes safe only when it's enforced by design

2173
01:23:51,600 --> 01:23:52,880
through the autonomy boundary

2174
01:23:52,880 --> 01:23:54,000
and execution contract,

2175
01:23:54,000 --> 01:23:55,440
not by intent or good luck.

2176
01:23:55,440 --> 01:23:57,360
If you want to test readiness this week,

2177
01:23:57,360 --> 01:23:58,320
do one thing.

2178
01:23:58,320 --> 01:24:00,400
Remove one human step from a workflow

2179
01:24:00,400 --> 01:24:01,760
where the queue never shrinks

2180
01:24:01,760 --> 01:24:03,280
but add one hard boundary

2181
01:24:03,280 --> 01:24:04,800
that the agent cannot cross

2182
01:24:04,800 --> 01:24:06,400
without evidence and policy.

2183
01:24:06,400 --> 01:24:09,120
And here's the line that should end the discussion fast.

2184
01:24:09,120 --> 01:24:13,040
If you can't name who wakes up at 2am when the agent fails,

2185
01:24:13,040 --> 01:24:14,400
you're not ready for autonomy.

2186
01:24:14,400 --> 01:24:16,320
If you've got a workflow where tickets churn

2187
01:24:16,320 --> 01:24:18,720
and nobody can close the loop, put it in the comments.

2188
01:24:18,720 --> 01:24:19,920
And watch the next episode

2189
01:24:19,920 --> 01:24:22,320
because we'll go deeper on agent identities,

2190
01:24:22,320 --> 01:24:23,520
MCP entitlements

2191
01:24:23,520 --> 01:24:26,720
and how to stop conditional chaos before it becomes policy drift.