Ready for which decision?
A pilot, an operational rollout, a contract acceptance decision and a wider deployment are not interchangeable. A useful review starts by naming the decision, intended use, system version, affected users and review period. Otherwise, 'ready' can mean different things to the delivery team, program owner and customer.
What would be checked?
A bounded governance and evidence review examines the arrangements and records relevant to that decision. Its scope does not automatically include testing the underlying model or software.
- Who is authorized to approve, escalate, stop or accept a risk?
- Which requirements and acceptance criteria apply?
- Which review and approval steps have records showing they occurred?
- What exceptions and open risks remain, and who owns them?
- Are selected performance measures defined and supported?
- Which changes require reassessment?
An example: a missing approval record
Illustrative example, not client work: imagine a release checklist marked complete, but no dated approval record for the version being released. A reviewer should report that approval has not been substantiated by the supplied records, ask for the relevant record or explanation, and explain the effect on the decision. The reviewer should not invent an approval or claim that its absence from the file proves it never happened.
What the buyer receives
The deliverable can be an evidence register, findings mapped to agreed criteria, a prioritized action list and a short leadership readout. Acceptance is based on completing the agreed review and documenting limitations, not on obtaining a favorable finding or guaranteeing the customer's approval.
What this review does not establish
A document-based governance review does not by itself establish model accuracy, cybersecurity, clinical safety, legal compliance or authorization to operate. Those conclusions may require separate specialists, testing and authorized decision-makers. Independence must also be established for the particular scope; a separate subcontractor is not automatically independent.
How this relates to published guidance
GAO's AI Accountability Framework organizes practices around governance, data, performance and monitoring. NIST's AI RMF provides voluntary risk-management guidance. Elvaris's procedure turns selected, applicable criteria into a scoped review; it is not a government certification or a claim that every framework provision is binding.
Sources and their limits
- GAO-21-519SP: AI Accountability Framework
Source for the four accountability principles; not an endorsement of Elvaris.
- NIST AI Risk Management Framework
Voluntary risk-management framework; applicability and scope must be established for the assignment.