AI vendor selection has become one of the most underestimated governance decisions in enterprise transformation. The choice of an AI vendor is not just a technology decision — it is a decision about whose models will influence your customers, your employees and your risk position.
Procurement Is a Risk Decision
Many organizations still run AI procurement as a technology purchase rather than a risk-and-accountability decision. The consequence is predictable: weak contract structure, unclear ownership, poor model transparency and expensive remediation later. When the model underperforms or behaves unexpectedly, the organization discovers how little it actually contracted for.
Four Dimensions of Due Diligence
A practical framework tests four dimensions. Capability evidence: can the vendor demonstrate performance on your problem, not a generic benchmark? Governance maturity: how does the vendor manage model risk, monitoring and change? Legal and regulatory alignment: does the contract allocate liability and support your obligations under the EU AI Act? Operational integration fit: will the model actually work inside your processes and data?
The Question to Ask Before Signing
Executive teams should ask one critical question before signing: if this model fails in production, who is accountable, and how quickly can we detect and contain the failure? A vendor relationship that cannot answer it is a liability waiting to surface — usually at the worst possible time.
