Policy is not enough
A policy says what should happen. Evidence shows what is happening. Buyers need evidence because they are making a risk decision about whether to trust, buy, deploy, or approve an AI-enabled product or process.
Evidence should answer the buyer’s real question
The real question is usually: can this supplier or team explain its AI use clearly enough for us to approve it? That requires clarity, ownership, repeatability, and a controlled escalation route.
A practical maturity path
Most teams move from scattered answers, to a basic evidence pack, to a maintained AI governance operating rhythm. The commercial benefit comes from reducing friction every time a new buyer question arrives.
Practical evidence checklist
- Prepare a concise AI governance overview for buyers.
- Maintain a current AI system inventory and data/vendor map.
- Record role, risk, oversight, monitoring, and incident evidence.
- Create standard answers for common procurement questions.
- Keep legal, security, product, and sales messages aligned.
- Review evidence regularly and after material AI changes.
FAQ
What makes evidence buyer-ready?
It is clear, current, specific to the system or process, owned by the right team, and easy for procurement, security, legal, or leadership reviewers to understand.
Is this only for companies selling AI?
No. Buyers deploying AI internally also need evidence for boards, regulators, auditors, staff, and customers.
What is the best first step?
Start with the AI Procurement Readiness Check, then use the result to prioritise your system inventory, data map, vendor evidence, and procurement response pack.