Aon has launched an AI Risk Diagnostic, an enterprise-level assessment designed to give management a structured view of AI governance, maturity and risk exposure as the technology becomes embedded across business operations. The launch responds to increasing pressure from boards and regulators demanding greater visibility into how AI is deployed and controlled.
"Artificial intelligence is creating significant opportunities for organisations, but it is also introducing new and increasingly complex risk considerations across governance, compliance, operations and resilience," said Richard Waterer, Aon global risk consulting leader. "As boards, regulators and stakeholders seek greater visibility into how AI is being deployed and governed, organisations need a clearer understanding of their AI maturity, control environment and exposure. Our AI Risk Diagnostic helps provide that visibility, enabling leaders to make better-informed decisions about governance, oversight and responsible innovation."
The diagnostic helps executives and strategy leaders make better-informed decisions about governance, oversight and responsible innovation. Built by Aon's Global Risk Consulting team, the assessment aligns with leading frameworks, including the International Organisation for Standardisation (ISO), the European Union Artificial Intelligence Act and the National Institute of Standards and Technology AI Risk Management Framework.
How the analysis works
The diagnostic analyses client inputs through two complementary lenses. The AI Maturity Analysis assesses the maturity of AI governance, lifecycle management, processes and controls. The AI Risk Taxonomy Analysis identifies areas where AI may create new risks or amplify existing exposures across the organisation.
What clients receive
Clients get tailored reporting that includes:
- An overall assessment of AI maturity, key governance gaps and priority areas of action.
- Visual dashboards, heat maps and risk exposure mapping across key AI risk domains.
- Prioritised recommendations to strengthen governance, controls, compliance and resilience.
By linking AI maturity with risk exposure, the tool helps organisations identify governance gaps and understand where AI may be creating operational, regulatory, cyber, liability and business risks. The reporting provides a clearer foundation for AI-related decision-making across the organisation.
Why this matters for management
For management teams, the diagnostic offers a concrete way to benchmark AI maturity and risk exposure, giving leaders the evidence they need to address board concerns and regulatory requirements without guesswork. As AI adoption accelerates, management faces growing expectations to demonstrate effective governance, oversight and control of AI-related risks.
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