The collaboration aims to provide users with a continuously validated view of global business entities. Through natural language prompts, sales and marketing departments can now prioritize prospects and refine audience targeting using D&B’s structured intelligence. Simultaneously, finance and procurement teams can leverage the tool to assess risk and verify complex corporate relationships at scale.

Gary Kotovets, Chief Data Officer at Dun & Bradstreet, emphasized that the move is designed to offer the context necessary for effective AI adoption. By using a headless architecture and MCP connectivity, the integration ensures that business intelligence remains accessible within the specific environments where teams already operate. This development follows the company’s broader strategy to position its D-U-N-S Number system—a global standard for commercial identification since 1963—as the foundational data layer for enterprise-grade artificial intelligence.