
Insight
How to Pressure-Test an AI Consulting Firm Before Signing
Article/Blog post
Insight summary
Choosing an AI consulting firm is less about comparing capability claims than testing whether the firm can deliver, operate, and transfer production systems responsibly. The article outlines ten due-diligence questions covering production evidence, named delivery teams, data handling, IP ownership, success measures, adoption, first-month deliverables, commercial risk, monitoring, handover, and references. It also shows why specific, comparable answers reveal more than polished credentials. Technology leaders should use the same questions across candidates to expose delivery risk, accountability gaps, and long-term operating dependencies before signing.
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