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 · remediateAssess
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 artifactsA gap report: where your system stands against institutional-grade controls.
Eval contracts that encode "working" and run on every change.
A control inventory mapped to the obligations that apply to you.
A prioritized remediation plan, sequenced by risk.
Evidence and documentation a risk committee will actually accept.
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.
Book a fit call →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.