AI Governance
Ship AI features without creating a compliance liability.
The problem
Teams ship AI and LLM features faster than governance can keep up — no inventory of models, no risk view, no answer when a customer or regulator asks how it's controlled.
We establish an AI governance function: model inventory, risk and control mapping to the frameworks you already run, and a clear path to ISO 42001.
What you get
Concrete deliverables, fixed scope.
- AI governance framework and operating model
- AI/model inventory and use-case risk register
- Control mapping to ISO 27001 / SOC 2 and AI-specific controls
- ISO 42001 (AI management system) readiness assessment
- Policies for acceptable use, data handling, and model lifecycle
- Governance cadence and ownership across teams
How we work
Four steps. No surprises.
01
Discover
We map what you have, what's broken, and what 'done' looks like — in plain language.
02
Design
A short scoped proposal. Fixed deliverables, fixed price, no open-ended retainers.
03
Build
Weekly demos. You see real working software, not status decks.
04
Operate
Handover with documentation, or stay on for ongoing support — your call.
Where this fits
Three real-world scenarios.
Shipping AI features
You're putting LLMs into the product and need governance that doesn't slow delivery to a halt.
Customer or regulator questions
Buyers and regulators are asking how your AI is governed — have a credible answer.
ISO 42001 readiness
Get ahead of the AI management system standard before it becomes a procurement requirement.
Questions
Common questions about ai governance (iso 42001).
Explore further
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