Dun & Bradstreet, a business data and analytics provider, has launched agentic AI capabilities within its D&B Risk Analytics platform, enabling organisations to cut compliance and third-party risk processing times by between 70% and 90%.
The new functionality is available both inside the D&B Risk Analytics platform and through a Model Context Protocol (MCP) server integration, allowing verified D&B data, models and workflows to be embedded directly into AI assistants and custom agents. The system is designed to accelerate onboarding, screening and due diligence processes, with the company stating that tasks which previously took days can now be completed in seconds.
Early results measured against industry benchmarks point to substantial operational gains. These include up to a 20x increase in review capacity, a 70 to 96% reduction in processing time, a 50 to 90% reduction in false positives and resolution of false positives up to 700% faster.
The platform draws on the D&B Commercial Graph to support continuous KYC/KYB compliance monitoring and faster decision-making using verified business data. The addition of MCP integration extends this beyond analysis into agentic execution across onboarding, screening, due diligence and monitoring workflows. Routine functions such as entity identification, screening prioritisation and false positive resolution can now be automated with full traceability and policy alignment maintained. The capabilities are currently live for compliance intelligence and supplier intelligence, and are accessible via MCP integration in Anthropic’s Claude, with further integrations planned for Microsoft Copilot and Google ecosystems.
Dun & Bradstreet is a provider of business data and analytics, offering risk, compliance and supplier intelligence solutions to organisations globally. Its D&B Commercial Graph underpins its platform’s ability to surface verified business ownership and entity data at scale.
The company has indicated that smaller and mid-sized organisations stand to benefit significantly from the new tooling, given that constrained resources have historically limited their ability to run comprehensive compliance programmes. The agentic approach is positioned as a means of broadening access to compliance operations without requiring proportional increases in headcount or specialist talent.
Dun & Bradstreet general manager of risk Alex Zuck said, “As the pace and complexity of regulations accelerate and bad actors find new ways to exploit businesses, compliance teams are at a breaking point. The typical approach of throwing investment into fragmented software, data and services isn’t sufficient, especially as the talent and roles needed to fight back have never been harder to keep or to hire. While AI has been offered as the silver bullet, companies have struggled to implement the data they need to fuel it. That changes today.”
Zuck added, “Traditional KYB onboarding takes days and sometimes weeks. Even tasks like determining the ultimate beneficial owner of a company require searching registries, validating documents and piecing ownership together manually. D&B can now complete that process and more in seconds, delivering all of it into clients’ onboarding workflows without human intervention.”
He also noted, “We heard and worked with clients of all sizes and program maturity to provide this solution to a key problem: the need for a better way to understand who they’re doing business with.”
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