Dun & Bradstreet has announced AI capabilities built on Gemini Enterprise to power complex credit and risk workflows. Enabled by Model Context Protocol (MCP) server integrations, the collaboration is designed to help users build governed AI systems for faster onboarding, stronger risk decisions, and scalable lending workstreams.

AI is becoming an integral part of how financial institutions evaluate customers, extend credit, and manage risk, which raises the importance of the information informing those decisions. However, according to a 2026 Dun & Bradstreet survey, only 8% of financial services and insurance organizations report that their enterprise data is fully ready to support AI at scale. That gap helps explain why firms deploying AI in regulated workflows are focusing not just on automation, but on the quality, traceability, and governance of the underlying data.

The company says its D&B Commercial Graph™ supports the shift toward more reliable AI workflows by providing the foundational context layer that allows agents to understand business identity, relationships, and risk across the global economy. The resulting outputs are consistent, explainable, and auditable.

“Banks have spent decades building digital infrastructure. The next competitive advantage is building an intelligence infrastructure for AI,” said Scott Spencer, General Manager of Finance & Credit at Dun & Bradstreet. “Our collaboration with Gemini Enterprise helps financial institutions apply AI to the business-critical decisions they make every day by grounding those decisions in verified business context.”

For financial institutions, the collaboration delivers three practical benefits:

• Accelerated customer acquisition, credit assessment, compliance, and risk decisioning workflows.
• Continuous monitoring that moves beyond traditional Know Your Customer (KYC) and Know Your Business (KYB) programs.
• Strengthened governance, explainability, and confidence in agentic workflows with verified business context.

“Financial institutions want to use AI for their most complex workflows, but they can’t compromise on trust and transparency,” said Satish Thomas, Vice President, Google Cloud. “By connecting D&B’s verified business data with Gemini Enterprise for Financial Services, we’re helping organizations automate with confidence, delivering the speed of AI anchored in accurate, audit-ready data.”

“Financial institutions are under pressure to modernize decisioning while managing increasing risk, regulatory expectations, and data complexity,” said Alex Zuck, General Manager of Risk at Dun & Bradstreet. “The solution isn’t simply to add AI into existing workflows; it’s to transform operations beyond what was previously possible by integrating continually updated business context with AI capabilities. This integration helps support timely alerts to imminent risks, but it also helps enterprises uncover new opportunities. The combination of D&B’s verified business context with Gemini Enterprise for Financial Services stands to transform how financial services think about risk.”