Aon launches an AI risk assessment tool for insurers as the insurance sector grapples with underwriting frameworks for artificial intelligence adoption
Aon PLC announced on 28 July 2026 that it has launched a tool for businesses to assess risks associated with artificial intelligence adoption, designed to help underwriters and corporate risk managers evaluate and price AI-related exposures. The product is aimed at the insurance sector, where there is growing pressure to develop structured methodologies for assessing the risks that AI deployment creates for businesses across all sectors. The launch reflects a market-wide challenge: as AI systems move from pilot projects to core operational infrastructure across industries, the insurance market lacks established actuarial data and standardised frameworks for underwriting AI-related liability, systems failure, and reputational harm. Aon's tool is positioned as a response to that gap, providing a structured assessment methodology that insurers can use to evaluate AI risk in client portfolios. For legal practitioners, the product raises questions about where liability sits when an AI system causes harm and how those risks are contractually allocated in technology deployment agreements, vendor contracts, and insurance policies. The development of AI risk assessment tools by major brokers like Aon is also relevant to the regulatory debate around the EU AI Act (the European Union's regulation establishing risk-based requirements for AI systems), which requires high-risk AI systems to undergo conformity assessments before deployment. No law firm advisers were named in connection with the product launch. The sources do not provide details on the technical methodology of the assessment tool or the specific insurance lines it targets.
Why this matters
The launch of a structured AI risk assessment tool by a major broker signals that the insurance market is moving from ad hoc AI risk evaluation to something closer to a standardised underwriting framework, which has direct implications for how AI risk is allocated in commercial contracts and technology licences. For law students, the relevant legal work sits at the intersection of technology licensing, insurance coverage advice, and the emerging regulatory framework under the EU AI Act, which mandates conformity assessments for high-risk AI applications. As AI risk becomes more formally priced and assessed, clients deploying AI systems will increasingly need legal advice on whether their technology agreements adequately allocate risk and whether their deployments comply with applicable regulatory requirements.
On the Ground
On a matter involving AI risk and insurance, a trainee would assist with reviewing and marking up technology licence agreements and data processing agreements to identify gaps in AI-related liability allocation. There would also be work drafting vendor due diligence questionnaires for corporate clients seeking to assess the AI compliance posture of their technology suppliers.
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