AI Review & Assessment: what is your organization trusting AI to do — and what happens when it's wrong?
Your AI deployment looks successful. The ugliest failures come from models that overperform in ways no one expected.
We examine the model, the architecture, the process, the strategy, or the costs — and identify where human judgment is being replaced irresponsibly. We surface the behavioral and regulatory risks that technical audits miss, at the intersection of human behavior and AI behavior. We have no software to sell and no platform to license: our only incentive is an accurate picture of your real exposure.
What you get
- A real risk map: specific, prioritized, and actionable — not a compliance scorecard.
- Analysis of hallucination exposure, emergent behavior, and blind-trust delegation patterns in your workflows.
- Written report, executive presentation, and a follow-up session.
- Optional ongoing formats: advisory board participation and independent expert sessions.
How it works
- Interviews — structured conversations with the people who use and depend on your AI.
- Process review — how decisions flow between humans and models in practice.
- Documentation analysis — policies, prompts, vendor contracts, and monitoring — no code access required.
- Deliverable — risk map, report, presentation, and follow-up.
Frequently asked questions
How is this different from a technical audit?
Technical audits test the model. We assess the system around it: where humans stopped questioning outputs, where accountability is ambiguous, and where a plausible-but-wrong answer causes real damage. That is where most AI incidents actually start.
Do you need access to our code or data?
No. The assessment works through interviews, process review, and documentation analysis. That also means it can start immediately, without security clearances or NDAs over source code.
How long does an assessment take?
Typically a few weeks from kickoff to final presentation, depending on the number of AI use cases and teams involved.
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