Practice
Three disciplines, one accountable system.
Governance fails when it lives in a document. We build it into the structure of the organisation and the design of the product — so safe AI is the default, not the exception.
AI Safety & Governance
Frameworks · Risk · Assurance
Board-level frameworks that map risk to control. We build the model inventory, the escalation paths, and the incident-response muscle — auditable end to end, and legible to the people who sign off.
- Model inventory & classification
- Risk appetite & thresholds
- Incident response playbooks
- Regulatory readiness (EU AI Act, NIST AI RMF)
Responsible AI Design
Evaluation · Alignment · Experience
Product principles and human-centred review that keep fairness, transparency and consent built in, not bolted on. We design the refusal behaviour, the human checkpoints, and the interfaces people can actually contest.
- Evaluation & red-team design
- Human-in-the-loop checkpoints
- Contestable user experiences
- Fairness & transparency reviews
Organisation Design
Structure · Roles · Mandate
Structures, incentives and roles that make accountable AI a durable capability — not a single hero's job. We wire authority, escalation and veto into the operating model so accountability survives the sprint.
- Decision rights & RACI for AI
- AI governance operating model
- Incentive & capability design
- Board & executive education