Dun & Bradstreet announced on June 16, 2026, that it is integrating its D&B Commercial Graph with Amazon Quick, an AI assistant, using the Model Context Protocol. The move gives finance, compliance, and procurement teams direct access to verified business identity, ownership, and relationship data within their AI workflows, enabling risk assessment and business verification at scale.
Verified data meets AI workflows
The integration allows users to query D&B's data through natural language prompts inside Quick. Sales and marketing teams can identify prospects and uncover opportunities, while finance and compliance teams can assess risk and verify business relationships. The D&B Commercial Graph connects hundreds of millions of business entities and relationships worldwide.
Gary Kotovets, Chief Data Officer at Dun & Bradstreet, said, "We're bringing our verified business data into Amazon Quick to meet our clients where they're already working and building. By combining the D&B Commercial Graph with Quick, sales, marketing, and finance teams can use AI to generate more relevant insights, move faster and streamline key workflows."
The connection uses a headless architecture and MCP, which lets AI assistants pull external data without leaving the user's workflow. For professionals interested in the technical side, MCP (Model Context Protocol) Training provides a deeper look at how the protocol enables such integrations.
Risk assessment and business verification at scale
Kotovets said, "Go-to-market teams need more than data to get returns on AI adoption. They need context. Bringing D&B's Commercial Graph into Amazon Quick makes it easier to identify the right prospects, better understand customers and buying organizations, and uncover opportunities for growth using AI."
The same intelligence can support finance, compliance, and procurement teams as they assess risk and verify business relationships at scale. The move underscores how AI is transforming finance workflows, a shift that many professionals are exploring through AI for Finance Courses.
Why this matters for finance professionals
Finance professionals can now access verified business data directly within their AI assistant, reducing the need to switch between tools for due diligence, risk assessment, and compliance checks. The integration makes it easier to verify business identities and ownership structures at scale, a critical task for anti-money laundering, supplier vetting, and credit risk analysis.
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