JACKSONVILLE, FLORIDA – Dun & Bradstreet has announced a collaboration with Anthropic to bring D&B risk data directly into Claude, enabling enterprises to build AI-powered workflows grounded in verified business context.
Through this collaboration, Dun & Bradstreet’s Commercial Graph™—a global database of hundreds of millions of business records—will be made accessible within Claude via Model Context Protocol (MCP). This integration allows organisations to create customised, automated workflows for onboarding, due diligence and compliance.
By combining Dun & Bradstreet’s domain expertise with Anthropic’s advanced AI capabilities, the collaboration introduces a new paradigm for enterprise AI, one where systems can generate insights through verified, decision-grade data refined by decades of real-world use in regulated environments.
Transforming Onboarding and Compliance
The integration addresses long-standing inefficiencies in corporate onboarding, which has traditionally relied on manual verification and time-intensive processes. With Dun & Bradstreet data embedded directly into Claude, organisations can:
- Automate Know Your Customer (KYC) and Know Your Business (KYB) workflows
- Verify business identities across complex ownership and control structures
- Assess risk exposure across third-party and supplier networks
- Generate audit-ready documentation in real time
This enables financial institutions and other regulated entities to onboard corporate clients in seconds, replacing single-use tools and manual case management with an intelligent workflow.
A New Era of Decision-Grade AI
The solution is anchored in the globally recognised D-U-N-S® Number, combined with Dun & Bradstreet’s proprietary risk intelligence and linkage data, ensuring AI-driven workflows are accurate and auditable. This will allow organizations to:
- Reduce operational friction and onboarding timelines
- Strengthen compliance and audit readiness
- Improve confidence in automated decision-making
- Scale operations with built-in trust and transparency
Implications for Emerging Markets
For businesses in emerging markets, including South Asia, the Middle East and Africa, where access to reliable and standardised business information is fragmented, this innovation offers a pathway to more efficient and trusted transactions.
Nauman Lakhani, Group Director Products at Dun & Bradstreet South Asia Middle East Africa, said the collaboration reflects a shift in how AI is applied in business environments.
“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.”
As these capabilities are introduced, organisations will be better positioned to engage global partners and meet evolving regulatory expectations with greater confidence.
