Dun & Bradstreet adds D&B.AI credit analysis to Finance Analytics

Dun & Bradstreet announced new D&B.AI capabilities for finance and credit teams on September 24, 2026. According to the release, the capabilities are available now within the D&B Finance Analytics platform and through the company's Model Context Protocol (MCP) server, where they work with Anthropic's Claude, OpenAI's ChatGPT and Codex, Microsoft Copilot and Databricks. Users can access company research, risk analysis and guidance, identity verification, and portfolio management and monitoring through a conversational agent embedded in Finance Analytics. The company says the capabilities draw on its D&B Commercial Graph, anchored by the D-U-N-S Number, to keep outputs consistent, traceable and auditable.

The details

• Dun & Bradstreet says organizations using the capabilities have seen credit analysis and research accelerated by up to 30% to 40%, measured against industry benchmarks.
• The company also cites credit losses reduced by up to 20% to 25% and growth opportunities increased by up to 10% to 15%.
• MCP integration with Gemini Enterprise is planned.
• Scott Spencer, general manager of finance and credit, is quoted in the release.
• Users can build custom agentic workflows by extending D&B credit intelligence into AI platforms and enterprise applications through MCP.

Context

This is one of a series of Dun & Bradstreet AI platform integrations in our coverage in 2026, including ChatGPT and Codex (June 3), Amazon Quick (June 16), Perplexity connectors (August 26) and Microsoft Copilot Studio and Dynamics 365 Sales agents (September 16). The company joined IBM's watsonx Orchestrate Agent Catalog on September 17 and built credit and risk workflows on Gemini Enterprise in August.

Not disclosed

• Pricing for D&B.AI capabilities in Finance Analytics
• Which industry benchmarks the performance figures are measured against
• Number of customers in the measured results
• Date for Gemini Enterprise MCP support