Enterprise AI Solutions

Executive AI Advisory

When leadership is being asked to approve AI investment and needs a way to evaluate vendor claims that does not depend on the vendors making them.

Advisory at this level is mostly about sharpening questions. What would have to be true for this to work? What does the vendor's answer imply about where our data goes? What happens to this decision when model pricing halves again?

It is also about pacing. The pressure to act quickly on AI is real, and so is the cost of committing an organization to an architecture that ages badly.

What the work includes

  • Ongoing counsel for AI investment and risk decisions at board or executive level
  • Frameworks for evaluating vendor claims, including what evidence to require
  • Briefings that translate technical constraints into commercial consequences
  • Independent review of proposed architectures and commitments
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// Common Questions

Questions
About This

Common questions about Executive AI Advisory.

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Ongoing counsel for leadership making AI investment and risk decisions: how to read vendor claims, what to require before committing to a platform, where a proposal's assumptions are load-bearing, and which risks are worth accepting rather than mitigating.

By separating what a vendor demonstrates from what they assert, and testing claims against your own data rather than their examples. Most demonstrations are constructed on material that suits the product; the useful question is what happens on your least tidy corpus.

Usually ongoing, because the decisions arrive continuously rather than at a single point. The capability landscape shifts often enough that a judgement made a year ago may rest on constraints that no longer apply.

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