D&B, Anthropic Partner to Transform AI-driven Compliance through Claude

Dun & Bradstreet (D&B), a global leader in data and analytics, has announced a significant collaboration with Anthropic, an AI safety and research company. This partnership is set to revolutionize how enterprises manage onboarding and compliance by embedding D&B's extensive risk data directly into Anthropic's AI assistant, Claude.

The collaboration will integrate Dun & Bradstreet’s Commercial Graph™️, a comprehensive global database of business identities and risk indicators, into Claude. This integration is designed to empower organizations to automate critical due diligence workflows by leveraging advanced AI capabilities. Traditionally, corporate onboarding processes have been manual and time-consuming. With this new integration, financial institutions and other regulated entities will be able to streamline Know Your Customer (KYC) and Know Your Business (KYB) procedures within a unified interface.

Nauman Lakhani, Group Director Products at Dun & Bradstreet South Asia Middle East Africa, highlighted the value of this partnership. "The value of this collaboration lies in connecting AI with trusted business context, making it usable in real-world decision environments where accuracy and confidence matter," Lakhani stated. "Embedding verified data directly into workflows can help organizations strengthen governance and make decisions with greater clarity."

The system utilizes the globally recognized D-U-N-S®️ Number, ensuring consistent identification of businesses across various markets. This initiative is part of a broader trend towards intelligence-led workflows in enterprise operations, enabling organizations to make more informed, data-driven decisions. Dun & Bradstreet's global data network, covering over 600 million business entities, underpins its reputation for providing trusted Risk, Growth, and Data Intelligence solutions worldwide.

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The value of this collaboration lies in connecting AI with trusted business context, making it usable in real-world decision environments where accuracy and confidence matter. Embedding verified data directly into workflows can help organizations strengthen governance and make decisions with greater clarity.