Before an AI agent gets tools, define its authority
How to define agent authority through scoped tools, identity, specific approvals, safe recovery, and accountable operating records.
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Insights and white papers for governed data, analytics, AI, and commerce intelligence.
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AI risk in everyday business: practical controls that reduce exposure
Identify realistic AI failure scenarios and connect them to permissions, evaluation, meaningful human review, monitoring, and incident response.
Read insightWhat executives should ask before approving an AI pilot
A practical approval guide for grounding AI pilots in a real workflow, trusted context, controlled actions, evaluation, and a clear operating decision.
Read insightWhy metric governance matters for AI copilots
Natural-language analytics still needs governed definitions. How semantic models, metric contracts, evidence, and evaluation make copilots more dependable.
Read insightMyth vs reality: AI agents in business workflows
An executive-friendly look at what AI agents can do, where autonomy creates risk, and how tools, approvals, evaluation, and human review make agents useful.
Read insightAI without the hype: what it is good for, and where it breaks
AI can summarize, classify, reason over context, and automate parts of knowledge work. It can also be wrong, biased, stale, or overconfident. A practical view for business teams.
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