AI maturity you can explain
The diagnostic translates technical AI practices into clear maturity levels and examples of what each level looks like, helping you explain your AI posture to boards, regulators and internal stakeholders.
AI Risk Diagnostic
AI Risk Diagnostic
Artificial intelligence is reshaping how organizations operate. We are seeing risk evolve and new risks emerge. As AI adoption accelerates, boards, regulators and stakeholders are asking tougher questions: How well-controlled are your AI systems? Where are you most exposed? Are your controls keeping pace with regulation and industry practice?
The AI Risk Diagnostic provides a structured, independent view of your AI risk position and maturity, aligned to leading global frameworks and emerging regulation.
What is the AI Risk Diagnostic?
Aon’s AI Risk Diagnostic is an enterprise-level assessment of AI risk, controls and maturity. It evaluates both:
- How mature your AI governance, lifecycle and controls are
- Where your most material AI risks and exposures sit across the enterprise
The diagnostic is aligned with leading frameworks and guidance, such as ISO, the EU AI Act and NIST.
The result is a holistic, framework-aligned view of how well your organization is governing and controlling AI, and where the most material risks sit. Whether your AI program is at an early, experimental stage or already embedded at scale, Aon’s AI Risk Diagnostic helps bring structure, comparability and clarity to how you manage AI risk.
How the AI Risk Diagnostic works
Structured questionnaire: Your organization completes a secure, questionnaire-based assessment covering AI governance, lifecycle, controls, technology and workforce.
Dual-lens analysis: The diagnostic analyzes your responses through two lenses:
- AI Maturity Analysis – how developed your AI governance, processes and controls are
- AI Risk Taxonomy Analysis – where AI is creating new or amplified risk scenarios across your business
Insightful reporting: You receive tailored outputs including an overall AI maturity score, visual dashboards and heat maps, and prioritized focus areas to guide action.
How the AI Risk Diagnostic Helps You
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Risk you can act on
By linking maturity to risk exposure, you can see where AI is creating new or amplified risk scenarios, which operations are most exposed, and which controls require immediate attention.
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Roadmap you can deliver
You receive a prioritized set of practical guidance – for example, strengthening AI governance and oversight, integrating AI risk into incident management and resilience planning, or aligning with enterprise risk and compliance processes.
Key features of Aon’s AI Risk Diagnostic
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Aligned with leading standards
The diagnostic reflects Aon’s view of global best practice across multiple frameworks and regulatory trends, helping you prepare for evolving expectations such as the EU AI Act.
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Enterprise-level perspective
It looks beyond individual models or use cases to assess AI across governance, strategy, operations, technology and people.
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Supports AI risk governance design
It helps organizations with policy and control framework development, scenario analysis and risk quantification, and integration with broader risk and compliance programs.
