Dun & Bradstreet Launches Agentic Credit Workflows on Databricks

July 07, 2026
Dun & Bradstreet has introduced agentic credit and portfolio management workflows powered by its Commercial Graph on the Databricks Marketplace and OpenSharing, enabling finance teams to accelerate credit decisioning and portfolio insights.

Dun & Bradstreet has introduced agentic credit and portfolio management workflows on the Databricks Marketplace and Databricks OpenSharing, announced in a press release. The new tools integrate Dun & Bradstreet's Commercial Graph to assist organizations in making faster and more informed credit and risk decisions.

According to the company, these workflows enable finance teams to automate credit origination, optimize policy performance, and monitor portfolio risk. In one test case, the workflows increased bad debt capture from 30 percent to roughly 38 percent, helping avoid about six million dollars in losses.

The D&B Commercial Graph, anchored by the D-U-N-S Number, provides verified business information that supports AI agents in understanding business identity, relationships, and risk. The workflows can verify businesses, suggest credit limits, and identify policy optimization opportunities directly in the Databricks environment.

By making these agentic workflows available through Databricks Marketplace and OpenSharing, Dun & Bradstreet and Databricks aim to streamline data collaboration and allow finance teams to modernize credit decisioning across the lending lifecycle.

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