D&B.AI capabilities available in D&B Finance Analytics and via Model Context Protocol (MCP) integrations with Anthropic’s Claude, OpenAI’s ChatGPT and Codex, Microsoft Copilot, and Databricks

JACKSONVILLE, Fla., Sept. 24, 2026 /PRNewswire/ — Dun & Bradstreet today announced the launch of new AI-powered capabilities to help finance teams make faster credit decisions, surface portfolio risks earlier, and optimize growth opportunities.

Now available within the D&B Finance Analytics platform and through its Model Context Protocol (MCP) server, these D&B.AI capabilities enable organizations to embed verified business context and credit intelligence into AI assistants and custom agents, allowing finance teams to fuel customized workflows with the D&B Commercial Graph™. Anchored by the global standard D‑U‑N‑S^® Number identifier, the D&B Commercial Graph provides the foundational context layer that allows AI agents to understand business identity, relationships, and risk across the global economy, delivering outputs that are consistent, traceable, and auditable.

“Credit teams are under pressure to make faster decisions without sacrificing confidence, consistency, or governance,” said Scott Spencer, General Manager, Finance & Credit, at Dun & Bradstreet. “D&B.AI capabilities help teams get answers they trust in seconds instead of hours, identify emerging risks sooner, and focus attention where it matters most. By combining AI-powered guidance with the business context of the D&B Commercial Graph, we’re helping organizations move from analysis to informed action faster than ever before.”

As traditional credit processes struggle to keep pace with growing data volumes, expanding portfolios, and rapidly changing risk conditions, Finance Analytics with D&B.AI capabilities help teams cut through complexity, prioritize risk, and act faster.

Measured against industry benchmarks, organizations applying D&B.AI capabilities in D&B Finance Analytics have seen:

• Credit analysis and research accelerated by up to 30-40%
• Credit losses reduced by up to 20-25% through earlier visibility into emerging risk signals
• Growth opportunities increased by up to 10-15% through improved portfolio insights and prioritization

Users can access D&B.AI capabilities for company research, risk analysis and guidance, identity verification, and portfolio management and monitoring via a conversational AI agent embedded within the D&B Finance Analytics platform. Users can also extend D&B business context and credit intelligence into AI platforms and enterprise applications through MCP connectivity to create custom agentic workflows.

This release extends a series of collaborations that make Dun & Bradstreet’s verified business information available wherever enterprises already work. D&B.AI capabilities for D&B Finance Analytics are available today in-platform and in Claude, Codex, ChatGPT, Microsoft Copilot, and Databricks via MCP server. MCP integration is also planned for Gemini Enterprise.

Learn more:

• Learn more about D&B.AI capabilities for D&B Finance Analytics
• Watch a video on how Dun & Bradstreet powers agentic AI workflows across finance and credit
• Check out the D&B Finance Analytics AI capabilities interactive tour 

About Dun & Bradstreet
Dun & Bradstreet provides the verified commercial identity foundation for enterprises to deploy AI at scale. The company originated the D-U-N-S® Number in 1963, now the global standard for identifying commercial entities. Anchored by this identifier, the D&B Commercial Graph™ structures and connects business identity consistently across systems, enabling AI to operate on accurate, validated data. Since 1841, businesses of every size have relied on Dun & Bradstreet to navigate change and accelerate growth. For more information, visit www.dnb.com.

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SOURCE Dun & Bradstreet, Inc.