Buyer evaluation guide

AI Binary Analysis Buyer Evidence Checklist

A product demo shows a workflow. A buyer still needs the task record, reviewer corrections, failure cases, data boundaries, and an exit decision. Use this checklist before a pilot or technical evaluation.

Buyer questions

Questions buyers ask.

Which evidence belongs in an AI binary analysis pilot?

The pilot record includes fixed tasks, versioned artifacts, a baseline workflow, success criteria, run logs, tool and model versions, analyst actions, reviewer corrections, timing, cost, and failure cases.

How can a buyer test human review and provenance?

Ask the vendor to connect each material conclusion to the underlying address, function, trace, tool result, or reviewer note. The export needs to distinguish observations, model suggestions, analyst conclusions, and unresolved questions.

Which deployment questions belong in technical diligence?

Confirm model placement, artifact storage, outbound connections, sandbox boundaries, access control, audit logs, retention, deletion, supported formats, update paths, and the evidence available for each security or compliance statement.

Positioning

Keep the claim specific and reviewable.

Start with the buyer task

The evaluation uses representative work from the buyer environment. The team records the artifact, analyst question, expected evidence, baseline path, and completion rule before either run begins.

  • Sanitized tasks that represent the intended use case
  • One success rubric for baseline and assisted runs
  • Artifact and tool versions retained with each result

Trace each conclusion to evidence

The reviewer needs to separate extracted facts from model suggestions and analyst conclusions. A useful export preserves that boundary and records corrections.

  • Addresses, functions, traces, and tool results linked to findings
  • Model output and reviewer changes stored as separate records
  • Open questions and failed steps retained in the handoff

Inspect the deployment boundary

The buyer verifies the architecture against the intended environment. Product labels do not replace data-flow, access-control, retention, and update evidence.

  • Model placement, network paths, and artifact storage
  • Sandbox, identity, logging, retention, and deletion controls
  • Source record for each security or compliance statement

End the pilot with a decision record

The buyer records accepted tasks, rejected tasks, reviewer effort, operating cost, failure patterns, and the deployment conditions required for a next step.

  • Pass, fail, or inconclusive result for each task
  • Reviewer effort and correction rate captured with timing
  • Approved claim boundary for procurement and technical teams