Solution · AI Governance
Know every AI system, who approved it, and why.
A policy PDF does not govern anything. What governs is an intake form people actually use, a registry that stays current, a risk tier attached to each system, an approval trail, and a review that runs on a schedule.
Intake & Registry
One front door for AI requests and one inventory that reflects what is actually running.
Risk Tiering
Each use case classified against your existing risk taxonomy and the regulatory categories that apply.
Approval Workflow
Stage gates with a named owner at each one across risk, legal, security and the business.
Responsible AI Standards
Fairness, transparency and human oversight requirements written per risk tier, not per slogan.
Regulatory Alignment
EU AI Act obligations, NIST AI RMF functions and ISO 42001 clauses mapped to controls that exist.
Lifecycle Review
Scheduled revalidation, decommissioning, and reassessment whenever a system changes.
What you receive
- AI policy set, risk taxonomy and tier definitions
- A model registry with ownership and lineage that stays current
- Intake and approval workflow running in your existing tooling
- Control library mapped to EU AI Act, NIST AI RMF and ISO 42001
- Evidence packages assembled automatically for audit and regulators
- Quarterly board pack covering AI portfolio, risk and value
Next step
Book a working session.
Sixty minutes with a Chief AI Advisor and a forward deployed engineer. We read your environment, name the blockers, and give you the shortest path to a system in production.