AI Procurement Checklist: Essential Guide for Safe Buying
Buying AI is not like buying a database. The product changes after you sign, your data may never come back, and legal, security and IT each see a different danger. This guide sets out a complete AI procurement checklist for all three teams, organised the way a purchase actually moves: intake and triage, three parallel reviews, evidence instead of assurances, scoring with three possible outcomes, and the contract clauses worth arguing over. It covers training rights, output ownership, retention limits, prompt injection, model provenance, cost ceilings and exit paths, plus how to keep the whole process fast enough that nobody bypasses it.
