Service · Govern

Applied AI Governance

Drawn from validating AI risk at a global bank: the controls, eval contracts, and model-risk discipline that let you deploy AI into regulated, high-stakes settings, and defend it when someone asks how you know it works.

How the work runs

assess · contract · remediate

Assess

We map your AI system against the controls auditors, regulators, and risk committees actually ask for, not a generic framework but the real bar.

Contract

Eval contracts that define what "working" means and prove it on every change, not a one-time sign-off that decays the day after.

Remediate

A prioritized plan to close the gaps, sized to your stage and your risk surface, with the evidence a committee will accept.

What you walk away with

audit-ready artifacts
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A gap report: where your system stands against institutional-grade controls.

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Eval contracts that encode "working" and run on every change.

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A control inventory mapped to the obligations that apply to you.

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A prioritized remediation plan, sequenced by risk.

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Evidence and documentation a risk committee will actually accept.

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A defensible answer to "how do you know it works?"

Governance Readiness Assessment

Fixed scope → gap report + remediation plan

A bounded audit of your AI system against institutional-grade controls, with a clear, prioritized path to audit- and deployment-ready.

EngagementFixed scope
OutputGap report + plan
Best forPre-deployment
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Govern what you've already built, or build it governed.

If the system isn't designed yet, governance is cheaper baked in than bolted on. See how we architect for production.