Introduction of Senator Moody's Staged Accident Fraud Prevention Act  July 28th 2026

Aon's AI diagnostic targets the governance gap insurers are watching

Firms that cannot demonstrate effective AI governance are now facing a concrete commercial penalty: coverage denials at renewal.

To help organizations get ahead of that shift, Aon has launched an AI Risk Diagnostic, an enterprise-level tool that assesses AI governance maturity and risk exposure as the professional liability market moves away from silent AI assumptions.

The diagnostic was developed by Aon's Global Risk Consulting team. It evaluates AI governance, maturity, and risk exposure. The tool aligns with established frameworks: ISO standards, the EU Artificial Intelligence Act, and the National Institute of Standards and Technology (NIST) AI Risk Management Framework.

"Artificial intelligence is creating significant opportunities for organizations, 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. Waterer said boards and regulators now expect greater visibility into how AI is deployed, adding that organizations need a clearer view of their maturity, control environment, and exposure to respond.

Worried About AI Risk? Double-Check Your GL Policies

The evolution of AI risk coverage will mirror in some ways the evolution of cyber risk coverage.

There’s a lot of noise right now about AI liability. Insurers are calling it a massive unpriced risk. New products are being pitched. Exclusions are being drafted. If you spend any time in this industry, the whole scene feels familiar.

It should. We did this with cyber.

About 10 years ago, as cyber became more than just a data breach problem, the industry went through the same exercise: What can this peril actually cause? Where does it fall in existing policies? Who’s exposed and doesn’t know it? The answers took years to sort out, and frankly, we’re still sorting some of them.

In 2017, NotPetya hit. Maersk, Merck, Mondelez. Companies that hadn’t bought cyber tried to collect on their property policies because coverage was silent, and carriers pushed back. That’s when property underwriters started filing cyber exclusions. An exclusion to prop up a new product line. Buyers were furious. But the market had spoken.

AI is on the same track. We’re just earlier in the film.

How to find the sweet spot of AI investments in the insurance industry | Munich Re

AI systems are evolving from “assistants” to “agents”.

In our whitepaper “From OpenClaw to primary insurers”, we draw on insights from Munich Re where AI creates real added value, and what is needed to deploy it on a large scale in the insurance industry.

AI systems are evolving from “assistants” to “agents”. In our whitepaper “From OpenClaw to primary insurers”, we draw on insights from Munich Re where AI creates real added value, and what is needed to deploy it on a large scale in the insurance industry. . What you’ll find inside:

• From chat to action: How AI is evolving from conversational assistants towards more agent-based systems
• Where AI can create value: Opportunities across underwriting, claims, customer service and knowledge work
• Insurance realities that shape adoption: The role of operating models, governance and AI readiness in determining what can scale
• Building the foundations for success: Data, technology, processes, skills and controls as prerequisites for sustainable AI investments

WHITEPAPER

Hartford’s Insurity makes $100M AI bet as insurers race to modernize

Hartford-based insurance software company Insurity plans to invest $100 million in artificial intelligence over the next two years as insurers race to modernize aging technology, reduce costs and streamline operations.

The investment is one of the first major initiatives under new CEO Jatin Atre, who took the helm of the 40-year-old company at the end of June after serving as president. He succeeded Jeff Clarke, who remains executive chairman.

“Our whole belief is, AI matters only if it can decrease costs for carriers,” Atre said in a recent interview. “If it becomes easier to try to write insurance, if it becomes easier to try to enable carriers to do things that they weren’t previously able to do.”

AI Emerges as a Defining Force in the Broker-Client Relationship, Zywave 2026 Broker Services Survey Finds

Zywave, the leading technology provider for insurance distribution, today released the results of its 2026 Broker Services Survey, an annual study that gauges what employers expect from their insurance brokers. This year's findings, drawn from more than 1,400 U.S. respondents, show that artificial intelligence has moved from a background trend to a named factor in how employers evaluate and select their brokers, alongside a continued rise in demand for brokers who act as trusted, strategic advisors.

Zywave will host a webinar on Wednesday, Aug. 5 at 1 p.m. CDT to discuss the full research findings. To register and join, please visit our website.

"This year's data tells a clear story: AI is no longer optional infrastructure for brokers, it's becoming a visible part of how clients judge value," said Martin Simoncic, Chief Executive Officer at Zywave. "Employers aren't asking brokers to choose between technology and advice. They want both – brokers who use AI-powered tools to work faster and more accurately, and who still show up as a strategic partner. Brokers who treat those as separate tracks are the ones most likely to fall behind."