Dun & Bradstreet (D&B) has expanded its partnership with Anthropic by bringing commercial insurance workflows into Claude, enabling insurers and brokers to access business intelligence and risk data directly within AI-assisted underwriting processes.
The integration connects D&B’s Commercial Graph and predictive analytics to Claude through Anthropic’s Model Context Protocol (MCP), allowing insurance professionals to automate several key commercial underwriting and compliance tasks.
Using the integration, insurers can verify business identities and ownership structures, confirm broker-of-record information and producer licences, detect duplicate submissions, conduct financial risk assessments, perform Office of Foreign Assets Control (OFAC) and know-your-business (KYB) screening, and generate comprehensive risk profiles for underwriters.
According to D&B, the platform can reduce underwriting activities that traditionally take days or weeks to just minutes by giving AI agents direct access to verified commercial data throughout the underwriting workflow.
Beyond underwriting, the integration also supports AI-powered processes across rating, quoting and claims, while automatically generating documentation to support regulatory compliance and audit requirements.
The insurance capabilities build on D&B’s broader risk and compliance integration with Claude launched last month, extending access to financial strength data, including business credit information, regulatory filings and payment history.
Scott Spencer, General Manager for Finance & Credit at Dun & Bradstreet, said insurers have long relied on the company’s commercial data to improve underwriting decisions and profitability, with generative AI now providing an additional layer of analytical capability.
“For decades, insurance companies have relied on Dun & Bradstreet’s verified business data and analytics to help them improve risk selection and pricing and increase profitability. Now, Claude allows us to draw inference across our Commercial Graph to provide a more holistic understanding of the risks they are insuring.”
He added that embedding D&B’s business information directly into Claude enables insurers to evaluate opportunities more quickly while producing outputs that remain explainable, auditable and consistent for regulatory and governance purposes.
The announcement reflects a growing trend across the insurance sector, where data providers and technology vendors are embedding trusted external datasets into large language model workflows rather than relying solely on AI-generated responses. By combining enterprise-grade business intelligence with AI reasoning, insurers aim to accelerate underwriting while maintaining transparency, regulatory compliance and human oversight.
