Dun & Bradstreet Integrated Data With Microsoft and IBM
The firm linked its corporate database to major AI platforms to improve the reliability of automated decision-making.
Updated on Sept. 21, 2026 in Artificial Intelligence
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Dun & Bradstreet has integrated its D&B Commercial Graph with Microsoft Copilot Studio, Dynamics 365 Sales, and IBM watsonx Orchestrate. These integrations utilize the Model Context Protocol to incorporate verified corporate data into AI agent workflows.
Why it matters
Verified data is essential for improving the reliability of automated corporate decisions within AI systems. This move accelerates the use of AI for complex verification tasks in banking, investment, and procurement sectors.
The integration uses the Model Context Protocol to feed D-U-N-S numbers—nine-digit identifiers for legal entities—directly into AI workflows. This allows systems to link information across 600 million global companies.
The players
Dun & Bradstreet
A global provider of business decisioning data and analytics that maintains a massive database of 600 million public and private companies.
Microsoft
A technology corporation that develops the Copilot Studio and Dynamics 365 enterprise software stacks.
IBM
A multinational technology company focused on AI and hybrid cloud services through its watsonx platform.
The details
The integration uses the Model Context Protocol, an open standard for connecting AI assistants to data sources, to allow AI agents to fetch real-time, verified business information. By leveraging the D-U-N-S Number, a persistent nine-digit identifier for legal entities, the AI systems can disambiguate companies across various databases. This process ensures that automated agents utilize standardized records instead of potentially inaccurate training data when performing corporate due diligence.
Timeline
September 16, 2026: Integration with Microsoft platforms was announced.
September 17, 2026: Integration with IBM platforms was announced.
The Tech Race
These integrations represent an effort to dominate the data-linking layer of the AI stack by bridging standardized corporate identifiers with major enterprise AI platforms. This follows Dun & Bradstreet’s similar data partnerships with OpenAI, Anthropic, and Google throughout 2026.
Professional users of Microsoft and IBM platforms will gain access to direct, verified entity data within their AI agents without manual verification. This transition changes how procurement and investment teams perform due diligence by automating the retrieval of reliable company records.
The takeaway
Reliable data is the primary bottleneck for the mass adoption of AI in corporate decision-making environments. Readers should track whether similar integrations with other major AI model providers result in standardized performance benchmarks for entity verification.
Further reading
Learn more about the latest developments in Artificial Intelligence.
More information
For more information, visit the Dun & Bradstreet Ukraine specialized resource.
Source note: This article includes information reported by Interfax-Ukraine.
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Do you trust automated AI systems to verify corporate data as accurately as human employees?
