Dun & Bradstreet puts business graph into Amazon Quick

Dun & Bradstreet has made its D&B Commercial Graph available in Amazon Quick, linking its business data with Amazon Web Services' AI assistant for work.

Amazon Quick users can access Dun & Bradstreet's business information through natural language prompts, giving teams direct access to data on business identity, ownership and corporate relationships within existing workflows.

The collaboration brings verified company information into an AI tool used by workplace teams, supporting sales, marketing and finance tasks that depend on up-to-date information about customers, suppliers, partners and other counterparties.

For sales and marketing teams, the data can help identify and rank prospects, build a clearer picture of customers and buying groups, and refine audience targeting. In finance, compliance and procurement, it can help assess risk and confirm business relationships across larger volumes of counterparties.

Data access

The D&B Commercial Graph connects hundreds of millions of business entities and relationships worldwide. Through Model Context Protocol, users can draw on that dataset in Amazon Quick without leaving the assistant.

The integration uses a headless architecture, allowing customers to access the Commercial Graph within the applications and AI environments they already use. Dun & Bradstreet has been pushing to place its business information more directly into customers' AI tools rather than requiring separate access points.

That approach reflects a broader shift among data providers and enterprise software groups seeking to make structured commercial data available inside generative AI systems. The aim is to improve the relevance of AI-generated answers by grounding them in named, validated entities and mapped corporate relationships.

For Dun & Bradstreet, the commercial logic is clear. Its core business rests on verified business identity data, including the D-U-N-S Number, which it describes as a standard identifier for commercial entities across global markets.

Gary Kotovets, chief data officer at Dun & Bradstreet, outlined the rationale in a statement.

"We're bringing our verified business data into Amazon Quick to meet our clients where they're already working and building," said Gary Kotovets, chief data officer at Dun & Bradstreet.

"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," Kotovets added.

AI context

The tie-up highlights the growing role of external business data in workplace AI products. Generative AI tools can draft responses and summarise information, but many business users also want reliable underlying data they can query directly within those systems.

In practice, AI assistants are becoming another route to enterprise information, not just a conversational interface layered on top of internal documents. Integrations like this are designed to give users direct access to commercial records and relationship maps that can shape prospecting, due diligence and supplier checks.

Kotovets also pointed to the need for context in AI use by commercial teams.

"Go-to-market teams need more than data to get returns on AI adoption. They need context," he said.

"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," Kotovets said.

The integration marks another step in Dun & Bradstreet's effort to embed its datasets in the systems where customers are already building and deploying AI.