Agentic AI describes AI systems that pursue goals over multiple steps with limited human intervention, using tools and context to decide on and carry out actions rather than only answering single prompts.
A practical framework helps evaluate agentic AI tools, backed by a checklist for testing autonomous agents in staging. · Use Agentic AI in DevOps Safely
Agentic AI for IT operations combines goal-driven agents with governed workflows, observability, identity and human oversight. · Agentic AI for IT Operations
This episode explains that most industry certifications validate task execution but not architectural authority, meaning many certified professionals never see the salary growth or career opportunities they expect. It argues that credential inflation has made…
This episode explains the real difference between automation and agents, cutting through the confusion created by marketing and buzzwords. Automation is framed as rigid and repetitive, useful for consistent, rule-based tasks but incapable of adapting when…
This episode explains that treating AI like a simple add-on tool—especially Microsoft Copilot—can quietly create “digital debt” inside organizations. The problem isn’t the AI itself, but the messy, ungoverned Microsoft 365 environments it relies on. Copilot…
This episode explores how agentic AI is reshaping DevOps by automating CI/CD, incident response, and cloud operations. It explains why these autonomous systems are gaining so much attention and shares real stories of teams dramatically speeding up…
Explore agentic AI for IT operations with Christiaan Brinkhoff: Windows 365, Intune, AI agents, governance, security, and Microsoft's agentic OS vision.
In this episode of the M365.fm podcast, Nathan Rose joins the show to explore how Copilot Studio, Dataverse, and the Model Context Protocol (MCP) are shaping the future of agentic AI in Microsoft 365. The conversation dives into how organizations can move…
Most AI talk targets desk workers, yet the technicians, installers and inspectors in the field still drown in paperwork with little connectivity. Microsoft MVP Fergus Kidd, co-founder and CTO of FieldPal AI, shows builders and IT leaders how agentic AI on…
Rolling out Microsoft 365 Copilot is easy; getting thousands of employees to use it and proving value is not. Microsoft MVP Christoffer Besler Hansen of Atea shares practical lessons for IT and business leaders on adoption, agents, Copilot Studio, governance…
Artificial Intelligence is entering a new phase. The real opportunity is no longer deploying a single Copilot—it is transforming how organizations operate through an Agentic Operating Model. In this episode of the M365.fm Podcast, we explore why the future of…
Learn AI transformation leadership with Areti Iles in plain English: practical use cases, architecture, governance, security, and key implementation decisions f
AI is not just accelerating work. It’s exposing how your organization actually works. And right now, most leaders are responding the wrong way. They add: - More approvals - More reviews - More oversight But instead of creating safety… 👉 they create...
This episode of the M365.FM Podcast — “The Agentic Advantage: Scaling Intelligence Without Chaos” — explains why simply rolling out more AI agents does not automatically increase productivity, and why many enterprise agent programs collapse when they confront…
Timeline of episodes about Agentic AI
Articles about Agentic AI (14)
Why Traditional GRC Reporting is Failing Modern Enterprises · Mirko Peters Welcome back to the podcast blog! If you have ever stared blankly at a massive spreadsheet at midnight, wondering how a single misplaced digit could throw off an en…
Agentic AI for DevOps: Automation and Governance · Mirko Peters Learn how agentic AI changes DevOps through planning, code review, testing, infrastructure automation, security, and human oversight.
Frequently asked questions
What is agentic AI in DevOps?
It is autonomous, adaptive automation that uses context and reasoning to act on tasks such as CI/CD, incident response and cloud operations. Unlike scripts, it can make decisions, which speeds up work but also raises new risks. · From the episode: Use Agentic AI in DevOps Safely
How does agentic AI speed up DevOps work?
It automates repetitive tasks so teams can focus on strategic work, and its reasoning supports faster incident resolution. The notes cite savings of 19 hours per week on average, and the episode shares stories of much faster deployments. · From the episode: Use Agentic AI in DevOps Safely
What are the risks of using agentic AI in DevOps?
Autonomous agents can fail, create security blind spots or take wrong actions at scale. The episode therefore covers how to revert safely when automation goes wrong and why testing in staging comes first. · From the episode: Use Agentic AI in DevOps Safely
When should humans stay in the loop with agentic AI?
The episode offers decision guidance on when to rely on automation and when to keep human oversight. High-impact or hard-to-reverse actions are natural candidates for review, while routine, well-tested tasks suit full automation. · From the episode: Use Agentic AI in DevOps Safely
What is agentic AI for IT operations?
AI systems that observe context, plan work, use tools, execute actions and adapt to results while pursuing a defined objective, within limits set by identity, permissions, policy, logging and escalation. · From the episode: Agentic AI for IT Operations
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