Tag: ai-governance
15 posts tagged with "ai-governance"
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Beyond Spend Caps: Engineering AI Cost Governance for Azure's LLM Workloads
June 30, 2026
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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An AI Governance Framework on Microsoft Azure That Actually Works
June 30, 2026
Most Microsoft Azure AI governance lives in documents auditors see through. Here is an AI governance framework where a mandatory gateway turns compliance into runtime architecture.
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AI Agent vs Flow: When Not to Build One (2026 Decision Guide)
June 18, 2026
When to build an AI agent and when a flow, a query, or nothing is the better tool. A 5-question decision test, worked examples, and the agent tax to budget.
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Your AI Agent Project Is Really a Data Project: The Data-Prep Tax
June 18, 2026
AI agent projects are really data projects. Why data preparation and upkeep, not the model, decides whether an agent ships, and how to scope the data work first.
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AI Cost Governance in 2026: The Spend Caps That Don't Actually Cap
June 17, 2026
AI cost governance in 2026: the budget you reach for first only alerts, it never stops. A vendor-by-vendor playbook on which AI spend controls hard-stop and which just notify.
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Microsoft's Agents Hub Decoded (2026): The Frameworks and the Gaps
June 17, 2026
Microsoft's new Agents hub formalizes agent architecture, archetypes, a maturity model, and evaluation. An architect's read on what it still leaves to you.
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Copilot Credits Went Live: What Work IQ and Cowork Actually Cost
June 16, 2026
Copilot Credits billing went live June 16 across Work IQ and Cowork: the real per-call cost, the license gate, and the controls to set before July 1.
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Don't Build an AI Center of Excellence Until You Read This (2026)
May 30, 2026
Critical practitioner read of Microsoft's AI CoE framework: the seven assumptions the playbook makes about Executive Sponsors, role authority, and CoE evolution that fail in most real enterprises.
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The Pilot Trap: Why Most Agent Initiatives Never Become Portfolio (2026)
May 30, 2026
Microsoft's 2026 playbook names 'many pilots, no portfolio' as the top scale-breaker. This is the practitioner read on why agent pilots stall and what it actually takes to graduate to portfolio.
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Risk-Tiered Agent Governance: Microsoft's Tier 1/2/3 Model Annotated for Real Deployments (2026)
May 30, 2026
Microsoft's 2026 playbook gives you a 3-tier risk model for AI agents. This is the practitioner annotation: concrete controls, tooling, cadence, and the Tier 0 the playbook does not name.
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The Scale-Breaker Microsoft Doesn't Name: Why Your AI Program Stalls Where the Playbook Doesn't Look (2026)
May 30, 2026
Microsoft's 2026 Agentic Patterns Playbook names five capability drivers. The scale-breaker most enterprises actually hit is the sixth one the framework doesn't measure.
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The Six Agentic Adoption Patterns: A Practitioner Decode of Microsoft's New Playbook (2026)
May 26, 2026
A practitioner read of Microsoft's Agentic Transformation Patterns Playbook: six patterns, the 5x5 maturity model, CoE structures, what it understates.
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Can You Trust AI With Dataverse Security? Four Designs, Three Wrong
May 16, 2026
Two violated documented Dataverse mechanics. One was a category error. The real architectural axis isn't AI vs human, it's what claims are cheap to mechanically verify.
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Shadow AI Governance for Microsoft Enterprises: Discovery to Control
March 26, 2026
98% of enterprises have shadow AI. Only 30% have visibility. The 30-day discovery sprint using Defender for Cloud Apps, Purview, Entra, and Power Platform CoE Toolkit, with the 3-tier graduation framework.
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AI Governance Framework for Microsoft Enterprises: Operational Controls That Ship
March 12, 2026
An operational AI governance framework for Microsoft stacks. Six components, ISO 42001 alignment, EU AI Act readiness, and the Microsoft tools (Purview, Entra, Foundry, Agent Governance Toolkit) that make it work.