Research Context: Source edition/date: 3 May 2024. Research reviewed on 2 November 2026.
A pilot that uses only clean examples can hide the work the business will face later. Missing attachments, conflicting instructions and duplicate records are not exotic edge cases in a busy office. They are part of the job.
Understand the Research Context
The OECD announced revisions to its AI Principles on 3 May 2024 in response to technological developments, including general-purpose and generative AI. These principles are not a certification of a supplier’s implementation. Read the OECD: Updated AI Principles for the original context. The practical questions below are Best10Companies editorial analysis, not the source organization’s checklist or an endorsement.
What to Ask Before You Commit
Write acceptance cases before the supplier configures the system. Include examples the business wants processed, refused and escalated. Review the cost of checking outputs as well as the time saved on generation. A workflow that produces a fast first draft may still require careful supervision. Decide who can approve a wider rollout and which evidence they will receive.
| Check | Evidence to Request |
|---|---|
| Test coverage | Normal, incomplete and conflicting inputs |
| Human effort | Review and correction time |
| Expansion decision | A named approver and evidence threshold |
A Practical Exercise
Take ten representative tasks and add several deliberately incomplete ones. Keep the examples fixed while comparing providers so that a polished demonstration does not quietly change the test.
Build a Clearer Shortlist
Use the same brief when you compare companies offering Software & AI services. Keep the answers, assumptions and exclusions together so that a later decision is based on comparable information. When you are ready to post your requirement, describe the scope and the evidence you need rather than requesting a general promise of results.
