MaacVerify gives procurement, compliance, and risk leaders independent, audit-defensible evidence of how an AI deployment performs across nine cognitive dimensions — with signed reports, documented failure modes, and ongoing drift monitoring built for the organizations accountable when AI gets it wrong.
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Built for
Procurement, compliance, and risk teams are accountable for AI decisions they cannot independently verify. Vendor benchmarks are not audit artifacts — and they will not stand up under regulator, board, or litigation scrutiny.
Procurement risk
Sales decks cite generic leaderboards that were never designed to predict performance on your decisions. Procurement is signing off on risk it cannot quantify.
Regulatory exposure
EU AI Act, HHS, OCC, and FINRA expect documented, independent evaluation. Internal QA is not the third-party evidence your auditors and supervisors require.
Domain mismatch
Clinical triage, contract review, and credit underwriting each carry distinct risk surfaces. Public test sets average across domains your AI will never actually operate in.
Post-deployment drift
Provider updates, fine-tuning, and prompt revisions shift production behavior. Without an independent baseline, drift surfaces in incidents and audit findings — not dashboards.
MaacVerify produces signed, audit-defensible dimensional performance profiles for AI deployments — the independent evidence your compliance, procurement, and risk teams need.
Independent · Defensible
MaacVerify is the independent assessment authority for the MAAC standard. We do not build, sell, or train models. We do not assess labs in the abstract. We assess deployments for accountable organizations, and assessments are conducted by domain-credentialed specialists trained on the MAAC protocol — never by the vendors whose systems are under evaluation.
Measures calibrated uncertainty and hallucination restraint — whether the system knows when not to answer. The property your reviewers, auditors, and regulators rely on.
Quantifies decomposition and solution quality on multi-step problems — the complex cases your business actually escalates, not the easy ones it handles today.
Assesses coherence, richness, and communicative quality of outputs — whether responses honor the rules of your operating domain when they conflict with the obvious answer.
Establishes behavioral consistency between process and final output — the measured baseline against which production drift is tracked before it becomes an incident.
Three commercial offerings — purpose-built for AI procurement, compliance, risk, and governance leaders deploying AI where failure carries regulatory or financial exposure.
An independent, signed assessment of an AI system against your decision domain — formatted for regulatory submission, vendor procurement, and board-level AI governance.
A scenario set built to your decision space — clinical, legal, financial — for use in vendor selection, internal QA, and ongoing model evaluation across your AI portfolio.
Continuous post-deployment monitoring against your assessed baseline — surfacing material behavior change to risk and compliance teams before it surfaces in incidents or audit.
MAAC assessment results formatted for regulatory submission, procurement evaluation, and board-level governance reporting.
Multi-deployment assessment programs for organizations standardizing on a single AI evaluation framework across business units and regions.
Engagement Tiers
Single System
One model, one domain, point-in-time assessment.
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Portfolio
Multiple use cases across business units, on an annual cadence.
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Enterprise
Custom corpus, continuous drift monitoring, SIEM integration.
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MaacVerify exists because procurement, compliance, and risk leaders need independent, defensible evidence — not vendor claims — when they must show how a deployment performs in an environment their organization is accountable for.
Replace vendor self-attestation with third-party dimensional performance evidence for your decision environment.
Signed reports and failure-mode inventories aligned to the documentation regulators expect.
A documented profile of where the system performs and where it doesn't — before failure becomes an incident.
A single, consistent assessment framework applied across vendors, business units, and regions.
The MAAC standard is grounded in independent, peer-reviewed methodology with published, citable validation — providing the documentary substrate auditors and regulators expect. Available on request.
Engage MaacVerify
Engagements begin with a scoping conversation between your AI governance leadership and a credentialed MAAC assessor. Pricing is determined by domain, scenario corpus scope, and assessment cadence.
Enterprise inquiries