AI Procurement Question Bank
Ask vendors sharper questions about providers, retention, logs, deletion, auditability, review, residency, and export rights.
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The exact sections inside the download.
Frame the operating decision
What data is stored, retained, trained on, deleted, or shared? Which models or providers power the feature? Use the combined view to name the business outcome, source of truth, and owner who will decide whether to proceed.
Set the control boundary
What logs, traces, review records, and exports are available? Can permissions, human review, and fallback be configured? State the risk to avoid, review or escalation route, and record needed to keep the workflow controlled.
Commit to the first move
Can data, prompts, logs, and workflows be exported or deleted? Which documentation, contract clause, or security artifact must be reviewed? Record the smallest safe scope, baseline, owner, evidence, decision date, and next action.
Decision summary
Which documentation, contract clause, or security artifact must be reviewed? Which answer would block purchase or require mitigation? Summarize the proposed move, operating benefit, and the evidence that supports it.
Evidence and control
Does the vendor fit the operating architecture? State the source, review boundary, accountable owner, and condition that would require revision or pause. Keep the decision receipt with the workflow record.
Next review
Record the decision owner, evidence source, review date, and the explicit condition to scale, revise, defer, or stop. Confirm how the resulting decision will be communicated, implemented, and retained in the operating record.
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Frame the decision
Name the real operating need before designing a solution.
Name the platform, SaaS tool, or embedded AI capability.
Tie the vendor to a real business process.
Name who collects answers and evidence.
How to use it
Start with one real decision.
Complete the canvas with the workflow owner, then use the blank areas to expose missing context and controls.