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Executive AI Readiness Checklist
Use this checklist before leaders commit budget, vendors, or delivery teams to AI initiatives that depend on untrusted data.
Three questions to ask
- Which data domains are trusted enough for executive-facing AI decisions?
- Who owns quality, privacy, access, and explainability?
- What risk would increase if this AI workflow reached production?
Optional Follow-Up
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Next Step
Use the diagnostic, then talk through what it means.
The resource is ungated so you can move quickly. If the answers point to unclear ownership, platform risk, AI readiness gaps, audit exposure, or team overload, the next useful step is The Gambill Data Platform Risk Review: a focused strategy conversation for CTOs, VPs of Data, and technical founders.