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.
Two different artifacts. The Preliminary Assessment is a short, free readiness snapshot generated from your answers. The Sample Report is a specimen of the full, signed MAAC v4.7 assessment we deliver after engagement.
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What is your MAAC Score™?
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.
MaacVerify certifies both single AI models and multi-node agentic pipelines using the same phased MAAC methodology: a controlled baseline assessment followed by a client-scenario gap assessment, with optional post-deployment drift monitoring.
A single AI model assessed across a defined deployment domain. Full 9-dimension MAAC v4.7 scoring across both phases. Produces either a MAAC Verification Certificate or a MAAC Assessment Report with Remediation Requirements.
Multi-node AI pipelines assessed sequentially. Each node in the pipeline receives a full independent MAAC assessment and its own certification artifact. A longer, more involving engagement scoped by pipeline architecture.
An independent, SME-built synthetic baseline scenario set for your decision domain, scored against the AI system using the MAAC v4.7 instrument across all nine cognitive dimensions.
Your client-specific operational scenarios scored against the same MAAC v4.7 instrument, then compared to the Phase 1 baseline, surfacing the behavioral gap between controlled and real-world use.
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
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