How Does Verisk Use AI in Insurance Analytics?

Verisk announced on May 5, 2026 that its insurance analytics are now available in Claude through standardized Model Context Protocol connectors, bringing proprietary, regulatory-grade insurance data into Anthropic's AI environment through natural language queries.

The announcement marks a specific application of MCP in a regulated, high-stakes industry where data governance and explainability are not optional features, according to the press release.

Verisk's analytics are used by US property and casualty insurers including the top 100 carriers, as well as global insurers, reinsurers, and brokers.

Embedding that data into an AI workflow creates efficiency, but doing so in insurance requires maintaining the audit trails, compliance controls, and accountability structures that the industry operates under.

"Trust is the foundation of insurance, and that doesn't change as new technologies emerge," said Lee Shavel, President and CEO of Verisk. "Our role is to bring AI into insurance in a way that reflects the realities of the industry — where data must be authoritative, decisions must be explainable, and accountability remains with people."

What the Two Connectors Do

Verisk launched two connectors in Claude at general availability. The first, Verisk Underwriting Intelligence for ISO Indications, gives insurers conversational access to loss cost trends, experience insights, and filing signals from Insurance Services Office, a Verisk business.

Underwriters and actuaries can query this data within their existing workflow rather than switching between tools and datasets to assemble the same picture manually, according to the press release.

The connector is estimated to save hundreds of hours per carrier per year, freeing capacity for higher-value analysis. The second connector, Verisk XactRestore, serves restoration professionals and contractors who repair property damage following insured events.

Through natural language queries, contractors can access Xactware's researched pricing and estimating intelligence to support scoping, estimate development, and iteration within existing estimating processes. Experienced contractors are estimated to save 30 minutes to two hours per estimate.

Both connectors surface contextual insights aligned to the professional's current task rather than requiring them to navigate to the relevant data independently, according to the press release.

The Governance Architecture

The connectors operate within Verisk's established data governance framework, aligned with existing customer entitlements, contractual data use obligations, and confidentiality requirements.

According to the press release, the design is model and platform-agnostic, clients can integrate Verisk data and analytics into their existing environments regardless of their broader AI vendor strategy.

"Insurance is a highly regulated, high-stakes industry, and Verisk has long been a leader for how trusted data and analytics are applied responsibly," said Mike Ram, Head of Insurance at Anthropic. "By pairing Claude with Verisk's governed analytics and established controls, this collaboration shows how generative AI can enhance professional decision-making without compromising the rigor and accountability the industry demands."

Verisk has deployed approximately 40 agentic and generative AI solutions across the insurance ecosystem and has been embedding AI across the industry for more than two decades.