Coming soon
AI risk management, governance and controls

AI is moving faster than governance.

RiskAI helps organisations safely implement, identify, assess, govern and control artificial intelligence risk.

We support firms in mapping AI use cases, understanding exposure, designing practical control frameworks, strengthening accountability and embedding responsible AI governance.

Framework-led advisory

Our work is grounded in Enterprise-Wide AI Risk Management, EW-AiRM, created by Prof. Markus Krebsz. EW-AiRM augments existing enterprise risk management with strategic governance foundations, operational AI risk controls and resilience planning for emerging and extreme AI risks.

View EW-AiRM on LinkedIn
Identify

AI use cases, risk events, exposure points and accountability gaps.

Assess

Material AI risks, control gaps, tolerance, readiness and maturity.

Control

Policies, KRIs, KCIs, RCSAs, governance forums and monitoring.

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RiskAI brings traditional risk management discipline to AI adoption. We help organisations move from experimentation to controlled, accountable and well-governed implementation.

The full RiskAI site is being prepared.

  • AI risk management frameworks
  • AI governance and accountability
  • AI policy, standards and procedures
  • AI risk assessment and control design
  • AI RCSA, KRIs, KCIs and monitoring
  • Third-party and vendor AI risk
  • EW-AiRM capability and maturity assessment
  • Board and executive reporting