Why AI evaluations go wrong

Vendor narratives often outpace organizational readiness.

Leaders face pressure to act before fundamentals are in place.

Questions leaders should ask first

What problem are we solving.

What data supports this use case.

Who owns outcomes and risk.

How to compare vendors effectively

Favor pilots over promises.

Demand clarity on data handling.

Tie success to measurable outcomes.

What good decisions look like

Clear scope.

Defined ownership.

Exit options.

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