Global professional services firm Aon has launched a new artificial intelligence-powered platform designed to help insurers and reinsurers rapidly analyse contract language, identify emerging exclusions, and strengthen reinsurance coverage strategies.

The platform, called Contract AI, enables Aon brokers to assess reinsurance agreements in real time by interrogating the firm’s entire U.S. and Canada contract database from the past three years. Using aggregated and anonymised data, the tool identifies market-wide trends in coverage, exclusions, limitations, and evolving contract language across multiple lines of business.

The launch reflects growing demand across the reinsurance market for technology solutions that can help organisations navigate increasingly complex risks, changing policy wordings, and evolving coverage requirements.

Historically, assessing the market impact of emerging risks or major loss events has required extensive manual review of broker intelligence, endorsements, exclusions, carrier communications, and contract clauses. According to Aon, these analyses often took days or even weeks to complete.

Contract AI significantly accelerates that process by combining large-scale data aggregation, natural language processing, and intelligent search capabilities to deliver actionable insights within minutes.

The platform currently supports 15 reinsurance business lines, including property, casualty, excess and surplus (E&S), and life reinsurance. It enables brokers to analyse changes in contract language, benchmark market practices, assess reinsurer appetite, and identify potential coverage gaps before renewal negotiations begin.

The technology can be deployed both reactively and proactively.

Following major events such as natural catastrophes, cyber incidents, geopolitical disruptions, or supply chain crises, Contract AI allows brokers to quickly evaluate how reinsurance contracts may respond and identify any emerging coverage concerns across the market.

Ahead of renewals, the platform helps insurers assess shifts in coverage terms, compare market practices, and optimise placement strategies by providing data-driven benchmarking and peer analysis.

“We need to ensure that our clients have robust coverage with no gaps or surprises to fulfil claims commitments to their customers and create sustainable portfolios,” said Randy Stanco, President, U.S. Reinsurance Business Performance at Aon.

“Contract AI enables our reinsurance brokers to quickly analyse market developments at scale, identify emerging coverage considerations and provide clients with timely, relevant advice to meet strategic goals.”

The platform was developed by Aon’s Risk Capital Product Team as part of the company’s broader strategy to leverage artificial intelligence and advanced analytics across the insurance and reinsurance value chain.

As insurers face increasingly complex exposures ranging from cyber threats and geopolitical instability to climate-related catastrophes and supply chain disruptions, the ability to rapidly assess contract certainty and coverage adequacy has become a growing priority.

Marc Boone, Global Head of Product Strategy for Reinsurance at Aon, said the technology represents another step forward in applying AI to critical reinsurance decision-making processes.

“Contract AI advances Aon’s position in developing innovative technology that enhances the analysis of critical reinsurance coverage, building trust and resilience across our industry,” Boone said.

“As the risk landscape becomes ever more dynamic, Aon’s AI-enabled capabilities will play an important role in helping organizations make more informed business decisions.”

The launch comes as reinsurance buyers increasingly seek greater transparency and certainty around coverage amid rising catastrophe losses, emerging cyber risks, and evolving geopolitical challenges. By automating complex contract analysis and surfacing market trends at scale, Aon aims to help insurers make faster, more informed decisions while strengthening portfolio resilience and reducing the risk of unexpected coverage disputes.