You’ll learn how to fix Power Platform AI failures using context engineering to eliminate hallucinations, reduce latency, and improve governance — directly inside the Microsoft cloud — in this episode.

Who this episode is for:
• You want practical strategies you can apply instantly
• You want real execution — not theory
• You want to unlock Microsoft 365, Power Platform, and Azure for real business outcomes

Scenario:
AI outputs are unpredictable, environments drift, and token consumption spikes due to missing context and governance.

Step-by-step – what you will learn:
• Why Power Platform AI failures happen — it’s not the model, it’s the context debt
• How to set up a system message pattern for clarity and control
• How to build a retrieval pipeline grounded in Dataverse to eliminate hallucinations
• How to enforce policies for governance and security using Power Automate
• Real-world metrics comparing ungrounded AI setups versus engineered contexts

Tools + tech included:
• Microsoft 365
• Power Automate
• Dataverse
• AI tools within Copilot Studio
• Governance and DLP policies

Practical payoff:
• Slash token consumption and latency
• Eliminate AI hallucinations with grounded schemas
• Create consistent, auditable outputs across environments

Open topical anchors:
automation strategy • AI integration • cloud-first transformation • governance enablement • Microsoft ecosystem advantage

Example business cases listeners can apply immediately:
• Build a loan application support agent that refuses unsafe actions
• Create environment-specific AI setups that comply with DLP policies
• Implement schema-driven retrieval pipelines for accurate AI responses

Outcome statement:
By the end of this episode — you’ll be able to engineer reliable Power Platform AI agents with grounded context, precise actions, and enforceable governance.

Call-to-action:
Start building your skills today — transform your workflows now and unlock the full power of Microsoft 365 and Power Platform!

#governancedrift #powerautomate #aifailures #retrievallayer #copilotstudio

CHAPTERS:
00:00 - Intro
00:41 - Understanding Context Debt
04:45 - Exploring System Context
08:37 - Data Retrieval Techniques
11:25 - Integrating with Copilot Studio
13:16 - Governance Policies and Tooling
18:50 - Building with Copilot Studio and Power Automate
23:29 - Fundamentals of Context Engineering
23:38 - Efficient Solutions Now
23:59 - What's Next?

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