Risk-by-Design
Build governance into your AI system before it reaches production.
What you get
"Governance that works at runtime."
- →
Risk-by-design specification
Technical controls for monitoring, guardrails, audit logging, and human escalation paths, designed into the system architecture before build begins.
- →
Pre-production governance checklist
A structured set of verification gates that must be passed before any AI system goes live, covering technical, operational, and regulatory requirements.
- →
Audit trail design
Specification of what must be logged, how it must be stored, and what must be retrievable to satisfy an internal audit or regulatory inspection.
Who it's for
The AI risk posture owner.
Accountable for AI deployment. Needs governance requirements built into the system architecture, not imposed as an afterthought.
Responsible for risk posture. Needs assurance that AI systems will behave within defined boundaries at runtime, not just on paper.
Needs the risk controls to be testable, logged, and auditable — not documented in a policy that no one reads.
What comes next
From risk design to audit readiness.
Compliance Audit
→Verify that your risk-by-design controls meet the regulatory requirements your auditor will test against.
AI Risk Model
→Map the full AI risk landscape before committing to specific technical controls.
Readiness Sprint
→Take your risk-by-design controls to audit-ready governance posture in four weeks.
Ready to build AI governance in — not bolt it on?
Every engagement starts with a short conversation. No commitment, just specifics.
Let's talk →