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.
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Insights and white papers for governed data, analytics, AI, and commerce intelligence.
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What 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 insightHow to choose the first data or AI initiative
A practical executive guide to sequencing data, BI, and AI work by business value, readiness, risk, and measurable decision impact.
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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