Verisk has made its insurance analytics available in Claude, Anthropic’s family of AI models, through standardised Verisk Model Context Protocol connectors.
The connectors give insurance and property restoration professionals conversational access to Verisk data and analytics inside a secure, governed environment.
The goal is faster work across underwriting, claims, estimating, and restoration workflows without pushing users across multiple systems.
Verisk works with US property and casualty insurers, including the top 100 carriers, as well as global insurers, reinsurers, and brokers. Its position across insurance data, workflow tools, and analytics gives the company a direct route into AI-enabled decision support for carriers and claims partners.
The Verisk MCP connectors surface contextual insights inside Claude using natural language. Instead of moving between dashboards, platforms, and datasets, users ask questions and receive task-relevant responses tied to Verisk’s proprietary and regulatory-grade analytics.
Building on this foundation, Verisk MCP connectors simplify access to insurance analytics, surfacing contextual insights and streamlining tasks within Claude:
- Through MCP connectors, insurance professionals can access Verisk’s proprietary, regulatory-grade data and analytics through generative AI, governed by Verisk’s established data governance framework to support customers’ controlled access and compliance needs.
- Insights are surfaced through natural language, rather than requiring navigation across multiple systems and dashboards.
- Helps teams save time by enabling tasks to be streamlined and reducing manual steps.
- Intelligently presents data and insights that are relevant to the current task or query.
- This approach combines speed and reliability to meaningfully accelerate mission‑critical underwriting and claims workflows.
The system operates under Verisk’s data governance framework. That matters for insurers, because access, compliance, confidentiality, and audit controls remain central when AI enters underwriting and claims decisions.
Lee Shavel, Verisk president and CEO, said trust remains the basis of insurance even as new technology changes how professionals interact with information. He said Verisk’s role is to bring AI into insurance in a way that fits the industry, where data must be authoritative, decisions need explanation, and accountability stays with people.
“Trust is the foundation of insurance, and that doesn’t change as new technologies emerge,” said Lee Shavel.
What is changing is how professionals expect to interact with information. 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.
Lee Shavel, president and CEO of Verisk
“This collaboration with Anthropic applies a conversational interface to Verisk’s governed analytics so professionals can work more efficiently, while upholding the industry’s high standards.”
Verisk is launching two Claude connectors focused on underwriting and restoration use cases.
The first is Verisk Underwriting Intelligence, using ISO Indications. It gives insurers conversational access to loss cost trends, experience insights, and filing signals from Insurance Services Office, a Verisk business.
The connector is designed for underwriting and actuarial teams that usually pull information from several tools and datasets.
It helps them assess indications, review emerging patterns, and support underwriting decisions with more confidence, while keeping human judgement and accountability in the existing process.
Verisk estimates that AI in this workflow might save hundreds of hours per carrier each year. That time shifts toward higher-value analysis, pricing review, and portfolio work. Less clicking around. More judgement.
The second connector is Verisk XactRestore. Restoration professionals and contractors use Xactware from Verisk for estimating and repair work after insured property losses.
Through the Claude connector, users access researched pricing and estimating intelligence through natural language. The tool supports scoping, estimate development, and revisions alongside existing estimating processes.
Verisk estimates that experienced contractors might save between 30 minutes and two hours per estimate. For restoration firms handling high claim volumes, that time saving adds up quickly.
According to Beinsure analysts, the move shows how insurance AI is shifting from general chat tools toward governed workflow access. The value sits in controlled data, permissions, and task context, not in open-ended prompts.
Verisk said its approach works with insurers’ existing systems, entitlements, and operating models. It is model- and platform-agnostic, allowing clients to bring Verisk data, insights, and AI into their own environments regardless of vendor strategy.
The company said its AI use remains inside controlled workflows and follows contractual data use, confidentiality, and governance obligations.
Verisk’s work with Anthropic builds on its broader AI strategy in insurance. The company has used AI across the insurance sector for more than two decades and has deployed about 40 agentic and generative AI solutions based on proprietary data, domain expertise, and explainable methods.
Mike Ram, head of insurance at Anthropic, said insurance is a regulated and high-stakes sector where Verisk has long shown how trusted data and analytics should be applied responsibly. He said pairing Claude with Verisk’s governed analytics and controls shows how generative AI supports professional decision-making without weakening rigour or accountability.
Insurance is a highly regulated, high-stakes industry, and Verisk has long been a leader for how trusted data and analytics are applied responsibly
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,” said Mike Ram, Head of Insurance at Anthropic.
Shavel said responsible generative AI is not only about efficiency. It should help insurers make sound decisions so consumers and policyholders receive clarity, confidence, and support when it matters most.
