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.
“AI adoption is accelerating across Indian businesses, but the real opportunity lies in turning that adoption into confident, trusted decisions. With only 4% of businesses considering their enterprise data fully ready for AI at scale, bridging the gap between AI ambition and decision readiness is critical. This is particularly important in an environment where ~21% of payments involving Indian micro enterprises are delayed beyond 90 days. D&B.AI capabilities help teams get answers they trust in seconds instead of hours, identify emerging risks and opportunities sooner, focusing attention where it matters most,” said Julian Prower, Executive Vice President, Global Business Operations & Transformation and Managing Director & CEO, India & Taiwan, Dun & Bradstreet.“By combining AI-powered guidance with the business context of the D&B Commercial Graph, and bringing trusted business identity, payment behavior and credit intelligence directly into AI workflows, we can help organizations move from analysis to action faster, enabling the most-informed decisions about the businesses they sell to, buy from and extend credit to.”
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.