AI agents do the first-pass evidence matching across hundreds of requirements — then hand you the uncertain cases with full reasoning traces, cited evidence spans, and side-by-side comparisons. You review, you don't retype.
Every requirement gets matched, scored, and explained before it reaches you — so a human only spends time where judgment is actually needed.
Agents map vendor evidence to each requirement and score a confidence — ok, review, or missing — across the whole framework.
Multi-agentOpen any result to see the full reasoning chain, confidence breakdown, alternatives considered, and the cost & latency of the call.
ExplainableEvery claim points back to the exact highlighted span in the source document — no hunting through PDFs to verify.
GroundedDiff this year's policy against last year's, or one vendor against another, with the changes called out.
ComparisonA three-tier cascade keeps costs low — cheap models classify, mid models extract, top models reason on the hard cases only.
Cost-awareApprove, reject, or send a request-for-information back to the vendor — every verdict tracked, every audit auditable.
Human-in-the-loopAuditAIQ is the audit engine of the AI-IQ platform. DocAIQ supplies the evidence, CompAIQ defines the rules, and AuditAIQ runs the assessment against them — your data stays yours at every step.
Sign in with Google and start a free workspace — no credit card. Run your first audit and see what AuditAIQ clears before you even open it.