Independent consulting auditors provide rigorous evaluation — but require weeks of engagement per audit and can't scale. Governance platforms offer software tools — but aren't structurally independent. AI Asset Assurance combines both: genuine third-party independence with scalable evaluation technology. We decompose any deviation to its root cause and prescribe exactly how to fix it. This page explains the technical pipeline from submission to certification.
Request evaluationGovernance platforms monitor your AI's behavior and flag problems after they've affected production. Consulting auditors provide genuine independence — but require weeks of engagement and can't scale. AI Asset Assurance combines structural independence with proactive, scalable verification you can start in minutes.
Governance platforms like Credo AI, Holistic AI, and OneTrust sell software to the companies they evaluate — creating a structural conflict of interest. Consulting auditors like BABL AI and ORCAA provide genuine independence but deliver bespoke engagements that take weeks. AI Asset Assurance combines structural independence with scalable, patent-protected evaluation technology delivered through a streamlined engagement process.
We seal your complete deployment stack — model fingerprint, system prompt, RAG index, tool permissions, safety filters, infrastructure attestation — and verify it on every request. If your model is updated, your prompt is changed, or your retrieval index is swapped, we detect it before the modified system processes a single production input. Reactive monitoring catches drift in days or weeks. Proactive verification catches changes on the next request.
Other platforms evaluate your AI using their own proprietary system — the company selling governance is grading the test. AI Asset Assurance uses five models from five different organizations, running on separate hardware, with Byzantine Fault Tolerant median consensus. The evaluator is structurally unable to influence its own scores. That's the independence regulators and customers require.
We compute the delta between inputs and outputs, isolate which variables cause deviations using Shapley attribution, detect cohort-level patterns, and deliver remediation recommendations with projected improvements. Other platforms tell you something is wrong. We tell you exactly what caused it and how to fix it.
Your AI system's outputs are evaluated by five structurally independent models with full causal decomposition.
Provide input-output pairs via REST API. We fingerprint your deployment stack to create a sealed configuration verified throughout the certification period.
Five AI models — each on separate infrastructure with distinct architectures and training data — independently score your outputs across five compliance dimensions.
Scores are aggregated via BFT consensus, then decomposed into causal findings: which inputs drive deviations, what cohort patterns exist — and specific remediation steps with projected score improvements for each.
Digitally signed certification with decomposed findings mapped to all applicable regulations — US state laws, EU AI Act, GDPR, and international frameworks. Sealed deployment verification maintains integrity for the full validity period.
AI Asset Assurance is the independent evaluation layer that completes your compliance program.
| Capability | Your governance platform | Your internal team | AI Asset Assurance |
|---|---|---|---|
| AI system inventory and shadow AI discovery | ✓ | — | — |
| Risk classification and policy management | ✓ | ✓ | — |
| Output monitoring and drift detection (reactive) | ✓ | ✓ | — |
| Compliance documentation and audit artifacts | ✓ | ✓ | ✓ |
| Structurally independent evaluation (5 models, BFT) | — | — | ✓ |
| Proactive deployment integrity verification | — | — | ✓ |
| Causal decomposition with Shapley attribution | — | — | ✓ |
| Remediation recommendations with projected improvements | — | — | ✓ |
| Third-party verifiable sealed certification | — | — | ✓ |
Submit your AI system's input-output pairs. Five independent validators. Causal decomposition. Prescriptive remediation. Results mapped to every regulation that applies to you.
Request evaluation