Knowledge Center · Artificial Intelligence
Artificial Intelligence
AI adoption, governance, and operational risk for business environments.
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Additional artificial intelligence topics are actively being built out.
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Latest in Artificial Intelligence
Shadow AI Explained: The Risk of Unmanaged AI Tool Adoption
Why employees adopt AI tools without IT approval, the specific exposure shadow AI creates, and how to bring it into a governed program without pushing usage further underground.
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Secure AI Adoption for Business: A Practical Approach
How to adopt AI tools without creating uncontrolled data exposure — the security considerations generic IT guidance misses, and a practical data-classification-first adoption approach.
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Private AI vs. Public AI: What the Difference Actually Means
The real distinction between public AI services and private, tenant-isolated deployments, how to decide which a given use case requires, and the cost tradeoff involved.
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Microsoft 365 Copilot Readiness: What to Confirm Before Rollout
Why Copilot's biggest risk is surfacing existing overly-broad permissions rather than granting new access, and what a permissions-first, pilot-first rollout approach looks like.
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Building an AI Governance Program: A Staged Approach
A practical, staged approach to standing up an AI governance program — from policy and pilot through organization-wide adoption and continuous governance — and why skipping the staged pilot tends to fail.
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AI Risk Management: A Practical Framework for Business
The specific risk categories AI introduces — data leakage, hallucination, bias, and over-reliance — and a practical framework for identifying, assessing, and mitigating them proportionately.
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