Use Cases
AI Risk Management
Identify the risk. Understand the impact. Prioritise action.
Identify and prioritise risks associated with significant AI systems and use cases.
Identify
AI-related risks and exposures
Assess
Likelihood and organisational impact
Prioritise
Risks requiring greater attention
Treat
Recommended controls and actions
Overview
What is AI Risk Management?
AI can introduce operational, privacy, reputational and decision-making risks that differ significantly between use cases. We assess whether AI-related risks are systematically identified, evaluated, documented, prioritised and managed.
Key Capabilities
Operational risk
Privacy and information risk
Reputational risk
Bias and fairness considerations
AI reliability and accuracy
Risk ownership and treatment
Process
How It Works
- 01
- Identify AI risks
Identify significant risks associated with AI systems, use cases, information, decisions and organisational dependencies.
- 02
- Assess impact
Consider the likelihood, significance and potential organisational impact of identified AI-related risks.
- 03
- Prioritise risks
Categorise findings to highlight the risks and issues requiring greater management attention.
- 04
- Recommend risk treatment
Recommend practical controls and actions for addressing identified AI governance and organisational risks.
Impact
Business Value
- Identify
AI-related risks and exposures
- Assess
Likelihood and organisational impact
- Prioritise
Risks requiring greater attention
- Treat
Recommended controls and actions
Ready to implement AI Customer Support?
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