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Microsoft AI · writing for IT leaders

Microsoft AI that ships. Not slideware.

Frameworks, ROI math, and operating-model patterns for Copilot, agentic AI, and Power Platform programs. Honest analysis for SVPs, VPs, and Directors of IT building on the Microsoft stack.

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Multi-AI by design · Azure OpenAI, Claude, Foundry, Copilot Studio. See why →

AI Strategy

AI Readiness Assessment

8 dimensions, 16 statements, 5 minutes. Calibrated against what actually goes wrong in production AI deployments.

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AI Cost & ROI

AI Cost & ROI

PTU vs PAYG with real utilization math. Marketplace billing traps that drained $1,600 in startup credits. Honest cost frameworks.

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AI Governance

AI Governance That Ships

Six operational components. ISO 42001 alignment. EU AI Act August 2026 readiness. Microsoft Purview, Entra, Foundry, Sentinel mapped to controls.

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Topical clusters

Six clusters. Six audiences. One stack.

AI Cost & ROI

For ctos.

AI Governance & Risk

For it directors.

AI Strategy & Readiness

For ctos.

AI Architecture

For it directors.

Microsoft Copilot Governance

For it directors.

Power Platform Governance & Operations

For power platform admins.

Latest insights

AB-100 Decoded (2026): What the Agentic AI Architect Exam Tests

AB-100 replaces four retired Microsoft business-apps certifications. What the agentic AI architect exam tests, its prerequisite gate, and how to prep.

Microsoft Agent vs Flow: What Foundry's June 2026 Release Really Decides for You

Foundry's June 2026 drop makes agents cheap to ship. Here is the decision rule for choosing between a flow, a Foundry agent, and a custom Azure build.

The Agent Product Owner Role: The Missing Link Between It Demoed Great and It's Safe in Production

Agents fail on ownership, not model quality. The agent product owner role is the named accountability that makes production deployment defensible on Azure.

From Zero to Autonomous: An Agentic Development Workflow with Claude Code and Azure ML

Agentic development with Claude Code is a CI/CD discipline, not a chatbot. Here is how to govern agent autonomy inside Azure ML pipelines without losing your audit trail.

Stop Vibe-Coding Power Platform: Turn ADO Work Items Into Specs Any AI Agent Can Build From

Agentic development for Power Platform pays off only when the Azure DevOps work item is a machine-readable spec any agent can build from and verify against.

Beyond Spend Caps: Engineering AI Cost Governance for Azure's LLM Workloads

Spend caps tell you when you've already lost. Real AI cost governance on Azure is an architecture you commit at design time - observability, routing, procurement, and CI/CD enforcement.

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Honest writing on Microsoft AI cost, governance, and operating models. No demo, no slideware, no consulting pitch.

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