Verisk announced new integrations Wednesday that let insurance companies pull the data analytics firm's proprietary underwriting and property-risk intelligence directly into Amazon Quick, Microsoft Copilot and Claude by Anthropic, using plain-language questions instead of separate logins or standalone software. The move expands how insurers already using those AI platforms can access ISO Loss Costs, Premium Audit Advisory Service resources and property-level hail and wind history without leaving the tools they use every day.
According to a release carried by globenewswire.com, Verisk said it is providing insurers with additional ways to access its proprietary insurance intelligence across enterprise AI platforms. The Amazon Quick integration and the Microsoft Copilot integration both give eligible customers access to ISO Loss Costs and Premium Audit Advisory Service, or PAAS, content, the release states. Verisk also expanded its existing Underwriting Intelligence offering within Claude, which it launched earlier in 2026, to include those PAAS resources alongside ISO Loss Costs, according to the same report from ROI-NJ.
What the New Benchmark Connector Adds
Perhaps the most notable addition is a new Verisk Benchmark connector, which the company says provides controlled, permissioned access to property-level hail and wind history. Per Verisk's own product page, the connector runs on the Model Context Protocol, an open standard for linking AI assistants to outside data sources, and for a single property it can surface years of hail and wind activity in one exchange. Those reports cover hail, straight-line wind, lightning and hurricane wind for locations across the United States and Canada, the company notes, though using the connector requires an active Benchmark subscription and any Claude plan.
Verisk also states that it does not receive, store or retain users' Claude conversations through the tool. The broader Underwriting Intelligence connector, meanwhile, links to Microsoft Copilot, Claude and Amazon Quick through that same Model Context Protocol and is built to let the AI system a user already relies on pull ISO Loss Cost intelligence, along with information on filed loss cost changes, pure premium movement and data behind future indications, through everyday natural-language prompts.
Executives Frame the Push as Efficiency, Not Replacement
Saurabh Khemka, president of Verisk Underwriting Solutions, said in the announcement that underwriting and claims performance increasingly depends on precision, trusted intelligence and responsible AI application in a complex risk environment. He added that AI is most valuable when it helps insurance professionals get relevant, reliable information when they need it, saying that easier access is meant to help professionals work more efficiently while maintaining the rigor and confidence they need to act on that information.
Steven Kauderer, president of Verisk Claims Solutions, said AI is changing how insurance professionals work and how they draw value from the information they rely on. He said Verisk's focus is on helping clients navigate those changes by making insurance knowledge more immediate and useful so they can better serve policyholders. Per Verisk, the company intends to keep building AI-enabled workflows that support insurer decision-making, efficiency, governance and regulatory rigor.
Verisk, which describes itself as a data analytics and technology partner to the global insurance industry, framed its approach as platform-agnostic, meaning the same underlying intelligence can follow a user into whichever AI environment their company has adopted rather than locking customers into one vendor's ecosystem. As reported by iireporter.com, the company says this approach is designed to reduce research time while keeping access to insurance-specific information controlled and auditable. Verisk has said the broader goal of expanding AI access is to cut down insurance professionals' research time and help them make decisions more efficiently, all while preserving existing content entitlements, permissions and governance controls. The company has also emphasized that the specific information available to any given user still depends on their organization's Verisk subscription and user entitlements, and that these AI connectors are additional access points rather than replacements for existing Verisk products and applications.
A Wider Industry Shift Toward AI Underwriting
The announcement, which carried a Jersey City, New Jersey dateline, lands amid a broader industry-wide embrace of artificial intelligence in insurance operations. The National Association of Insurance Commissioners has reported that 88% of 193 responding auto insurers said they use, plan to use, or plan to explore AI or machine-learning models, a figure gathered in December 2022. A more recent NAIC survey found that 92% of 93 responding health insurers said the same as of May 2025, according to the regulator's own data.
The NAIC notes that insurers are applying AI across underwriting, pricing, customer service, claims handling, marketing and fraud detection. The regulator has also made clear that insurers remain responsible for complying with insurance laws, regulations, insurance standards and consumer-protection rules regardless of how much of the work AI handles. The NAIC adopted its Model Bulletin on the Use of Artificial Intelligence by Insurance Companies in December 2023 to set expectations for responsible use, and as of March 2026 it said its AI Systems Evaluation Tool was being piloted by 12 participating states.
