Now available via Databricks Marketplace and OpenSharing, the D&amp;B Commercial Graph powers agentic finance workflows that help organizations make faster, more informed credit and risk decisionsJACKSONVILLE, Fla.,

<p xmlns="http://www.w3.org/1999/xhtml" class="prntac"><i xmlns="http://www.w3.org/1999/xhtml">Now available via Databricks Marketplace and OpenSharing, the D&amp;B Commercial Graph powers agentic finance workflows that help organizations make faster, more informed credit and risk decisions</i></p><p xmlns="http://www.w3.org/1999/xhtml"><span xmlns="http://www.w3.org/1999/xhtml" class="legendSpanClass">JACKSONVILLE, Fla.</span>, <span xmlns="http://www.w3.org/1999/xhtml" class="legendSpanClass">July 6, 2026</span> /PRNewswire/ -- Dun &amp; Bradstreet announced it is delivering agentic credit and portfolio management workflows, leveraging the D&amp;B Commercial Graph&#x2122;, available through the <a xmlns="http://www.w3.org/1999/xhtml" href="https://edge.prnewswire.com/c/link/?t=0&amp;l=en&amp;o=4725903-1&amp;h=3009134609&amp;u=https%3A%2F%2Fwww.databricks.com%2Fproduct%2Fmarketplace&amp;a=Databricks+Marketplace" target="_blank" rel="nofollow">Databricks Marketplace</a> and Databricks OpenSharing. This suite of agentic solutions will help finance teams make faster credit decisions, improve policy performance, and gain better visibility into portfolio risk.</p>
    <div xmlns="http://www.w3.org/1999/xhtml" class="PRN_ImbeddedAssetReference" id="DivAssetPlaceHolder1">
                <p xmlns="http://www.w3.org/1999/xhtml">
                    <img xmlns="http://www.w3.org/1999/xhtml" src="https://mmx.prnewswire.com/media/MS1687397/Dun-and-Bradstreet-Logo.jpg?id=OA2751741" title="Dun &amp; Bradstreet" alt="Dun &amp; Bradstreet"></img>
                </p>
    </div>
<p xmlns="http://www.w3.org/1999/xhtml">In one anonymized portfolio example, these workflows improved bad capture rate from <b xmlns="http://www.w3.org/1999/xhtml">30% to approximately 38%, translating into more than $6 million in incremental bad debt avoided</b>.</p><p xmlns="http://www.w3.org/1999/xhtml">&#34;Finance leaders are under pressure to move faster, support growth and manage risk with greater precision,&#34; said Scott Spencer, General Manager for Finance and Credit, Dun &amp; Bradstreet. &#34;By leveraging verified business information from D&amp;B&#39;s Commercial Graph in the Databricks environment, we&#39;re helping businesses streamline credit origination, continuously improve policy decisions, and gain a clearer view of portfolio risk. With the help of agentic AI, tasks that would take analysts days or weeks are completed in seconds.&#34;</p><p xmlns="http://www.w3.org/1999/xhtml">Anchored by the global standard D-U-N-S&#xAE; Number identifier, D&amp;B&#39;s Commercial Graph provides the foundational context layer that allows AI agents to understand business identity, relationships, and risk across the global economy, delivering outputs that are consistent, explainable, and auditable.</p><p xmlns="http://www.w3.org/1999/xhtml">As organizations scale enterprise AI initiatives, trusted business context is critical for ensuring agents can reason accurately, make informed decisions, and operate within governed business processes.</p><p xmlns="http://www.w3.org/1999/xhtml">Discoverable in the Databricks Marketplace and delivered through OpenSharing, these new workflows make it easy to leverage Dun &amp; Bradstreet alongside their own data within the Databricks platform to modernize credit decisioning across the lifecycle:</p><ul xmlns="http://www.w3.org/1999/xhtml" type="disc"><li xmlns="http://www.w3.org/1999/xhtml"><b xmlns="http://www.w3.org/1999/xhtml">Faster credit origination and decisioning</b> — Through a single prompt, this workflow verifies businesses, enriches decisions with trusted commercial and risk data, and supports business decisioning on whether to approve, decline or triage a case, along with providing suggested credit limits and payment terms.</li><li xmlns="http://www.w3.org/1999/xhtml"><b xmlns="http://www.w3.org/1999/xhtml">Adaptive credit policy optimization</b> — Using an AI agent, finance teams can understand how their current credit policy is performing, identify opportunities to increase policy predictiveness, and estimate the financial impact of those changes.</li><li xmlns="http://www.w3.org/1999/xhtml"><b xmlns="http://www.w3.org/1999/xhtml">Portfolio risk monitoring and insight</b> — Finance teams can gain a clearer view of exposure across their portfolio, identify deteriorating accounts earlier, and uncover risk and growth opportunities across customers, markets or geographies.</li></ul><p xmlns="http://www.w3.org/1999/xhtml">&#34;CFOs and finance teams need more than experiments with AI; they need practical ways to improve decisions and manage risk,&#34; said Sarah Branfman, Global VP, ISV and Data Partners at Databricks. &#34;Our work with Dun &amp; Bradstreet shows what&#39;s possible when businesses bring together their own data and the decision-grade data from D&amp;B&#39;s Commercial Graph natively within the Databricks platform. By making it available through Databricks Marketplace and OpenSharing, we&#39;re helping customers build more connected credit and risk workflows that drive faster, more informed action.&#34;</p><p xmlns="http://www.w3.org/1999/xhtml">Watch the <a xmlns="http://www.w3.org/1999/xhtml" href="https://edge.prnewswire.com/c/link/?t=0&amp;l=en&amp;o=4725903-1&amp;h=2911634908&amp;u=https%3A%2F%2Fdnb-bsp.hubs.vidyard.com%2Fwatch%2FJeFQL8Wrn3pRuf7xMfW6rg&amp;a=Power+Adaptive+Credit+Decisioning+demo" target="_blank" rel="nofollow">Power Adaptive Credit Decisioning demo</a> to see these workflows in action.</p><p xmlns="http://www.w3.org/1999/xhtml"><b xmlns="http://www.w3.org/1999/xhtml">About Dun &amp; Bradstreet</b></p><p xmlns="http://www.w3.org/1999/xhtml">Dun &amp; Bradstreet provides the verified commercial identity foundation for enterprises to deploy AI at scale. The company originated the D-U-N-S&#xAE; Number in 1963, now the global standard for identifying commercial entities. Anchored by this identifier, the D&amp;B Commercial Graph&#x2122; structures and connects business identity consistently across systems, enabling AI to operate on accurate, validated data. Since 1841, businesses of every size have relied on Dun &amp; Bradstreet to navigate change and accelerate growth.</p><p xmlns="http://www.w3.org/1999/xhtml">For more information, visit <a xmlns="http://www.w3.org/1999/xhtml" href="https://edge.prnewswire.com/c/link/?t=0&amp;l=en&amp;o=4725903-1&amp;h=2860476192&amp;u=http%3A%2F%2Fwww.dnb.com%2F&amp;a=www.dnb.com" target="_blank" rel="nofollow">www.dnb.com</a>.</p>



<p xmlns="http://www.w3.org/1999/xhtml" id="PURL"><img xmlns="http://www.w3.org/1999/xhtml" title="Cision" width="12" height="12" alt="Cision" src="https://edge.prnewswire.com/c/img/favicon.png?sn=FL98643&amp;sd=2026-07-06"></img> View original content to download multimedia:<a xmlns="http://www.w3.org/1999/xhtml" id="PRNURL" rel="nofollow" href="https://www.prnewswire.com/news-releases/dun--bradstreet-brings-agentic-credit-and-portfolio-management-workflows-to-databricks-302818562.html" target="_blank">https://www.prnewswire.com/news-releases/dun--bradstreet-brings-agentic-credit-and-portfolio-management-workflows-to-databricks-302818562.html</a></p><p xmlns="http://www.w3.org/1999/xhtml">SOURCE Dun &amp; Bradstreet, Inc.</p>

Dun & Bradstreet Brings Agentic Credit and Portfolio Management Workflows to Databricks

Dun & Bradstreet launches agentic credit workflows with Databricks partnership

<section class="insight" data-version="1">
  <section data-block="information">
    <h3>Information</h3>
    <p>Now available via Databricks Marketplace and OpenSharing, the D&amp;amp;B Commercial Graph powers agentic finance workflows that help organizations make faster, more informed credit and risk decisionsJACKSONVILLE, Fla.,</p>
  </section>

  <section data-block="ai-summary-paragraph">
    <h3>AI Summary</h3>
    <p>Dun &amp; Bradstreet unveiled agentic credit and portfolio-management workflows built on its Commercial Graph, accessible through Databricks Marketplace and OpenSharing. The integration promises faster origination, adaptive credit policy optimization, and real-time portfolio risk visibility, leveraging AI to reduce manual effort and improve decision quality across geographies.</p>
  </section>

  <section data-block="ai-summary-bullets">
    <h3>Key Points</h3>
    <ul><li>Dun &amp; Bradstreet launches agentic credit workflows via Databricks Marketplace.</li><li>Workflows accelerate credit decisions, policy optimization, and portfolio risk insights.</li><li>Anonymized portfolio shows bad capture rate rising from 30% to 38%.</li><li>That improvement equates to over $6 million in incremental bad debt avoided.</li><li>D&amp;B Commercial Graph anchors AI with global D-U-N-S identity.</li></ul>
  </section>

  <section data-block="companies-mentioned">
    <h3>Companies Mentioned</h3>
    <ul><li><strong>Dun &amp; Bradstreet (DNB)</strong>: Announces agentic credit workflows; potential revenue uplift via AI-enabled platform.</li><li><strong>Databricks (N/A)</strong>: Platform partner; distribution through Marketplace and OpenSharing; enables integration of D&amp;B data.</li></ul>
  </section>

  <section data-block="category">
    <h3>Industry News</h3>
    <p>Industry News. It reports a corporate collaboration expanding DNB&#039;s AI-enabled credit workflows and marketplace reach, potentially boosting monetization of the Commercial Graph.</p>
  </section>

  <section data-block="market-moving">
    <h3>Market-Moving</h3>
    <ul><li>Databricks Marketplace/OpenSharing distribution expands DNB&#039;s AI-enabled workflow footprint.</li><li>Anonymized test showing 6M incremental bad debt avoided signals potential efficiency gains.</li><li>Faster credit origination could translate into higher policy monetization with scale.</li><li>No immediate revenue numbers disclosed; risk of integration timelines.</li></ul>
  </section>

  <section data-block="key-facts">
    <h3>Key Facts</h3>
    <ul><li>Date: July 6, 2026</li><li>Product: D&amp;B Commercial Graph-based agentic workflows</li><li>Distribution: Databricks Marketplace and OpenSharing</li><li>Bad capture rate: 30% to 38%</li><li>Incremental bad debt avoided: &gt;$6 million</li></ul>
  </section>

  <section data-block="trading-thesis">
    <h3>Trading Thesis</h3>
    <p>Near-term bullish: marketplace integration could lift DNB revenue growth through AI-enabled credit workflows.</p>
  </section>
</section>


<p xmlns="http://www.w3.org/1999/xhtml" class="prntac"><i xmlns="http://www.w3.org/1999/xhtml">Now available via Databricks Marketplace and OpenSharing, the D&amp;B Commercial Graph powers agentic finance workflows that help organizations make faster, more informed credit and risk decisions</i></p><p xmlns="http://www.w3.org/1999/xhtml"><span xmlns="http://www.w3.org/1999/xhtml" class="legendSpanClass">JACKSONVILLE, Fla.</span>, <span xmlns="http://www.w3.org/1999/xhtml" class="legendSpanClass">July 6, 2026</span> /PRNewswire/ -- Dun &amp; Bradstreet announced it is delivering agentic credit and portfolio management workflows, leveraging the D&amp;B Commercial Graph&#x2122;, available through the <a xmlns="http://www.w3.org/1999/xhtml" href="https://edge.prnewswire.com/c/link/?t=0&amp;l=en&amp;o=4725903-1&amp;h=3009134609&amp;u=https%3A%2F%2Fwww.databricks.com%2Fproduct%2Fmarketplace&amp;a=Databricks+Marketplace" target="_blank" rel="nofollow">Databricks Marketplace</a> and Databricks OpenSharing. This suite of agentic solutions will help finance teams make faster credit decisions, improve policy performance, and gain better visibility into portfolio risk.</p>
    <div xmlns="http://www.w3.org/1999/xhtml" class="PRN_ImbeddedAssetReference" id="DivAssetPlaceHolder1">
                <p xmlns="http://www.w3.org/1999/xhtml">
                    <img xmlns="http://www.w3.org/1999/xhtml" src="https://mmx.prnewswire.com/media/MS1687397/Dun-and-Bradstreet-Logo.jpg?id=OA2751741" title="Dun &amp; Bradstreet" alt="Dun &amp; Bradstreet"></img>
                </p>
    </div>
<p xmlns="http://www.w3.org/1999/xhtml">In one anonymized portfolio example, these workflows improved bad capture rate from <b xmlns="http://www.w3.org/1999/xhtml">30% to approximately 38%, translating into more than $6 million in incremental bad debt avoided</b>.</p><p xmlns="http://www.w3.org/1999/xhtml">&#34;Finance leaders are under pressure to move faster, support growth and manage risk with greater precision,&#34; said Scott Spencer, General Manager for Finance and Credit, Dun &amp; Bradstreet. &#34;By leveraging verified business information from D&amp;B&#39;s Commercial Graph in the Databricks environment, we&#39;re helping businesses streamline credit origination, continuously improve policy decisions, and gain a clearer view of portfolio risk. With the help of agentic AI, tasks that would take analysts days or weeks are completed in seconds.&#34;</p><p xmlns="http://www.w3.org/1999/xhtml">Anchored by the global standard D-U-N-S&#xAE; Number identifier, D&amp;B&#39;s Commercial Graph provides the foundational context layer that allows AI agents to understand business identity, relationships, and risk across the global economy, delivering outputs that are consistent, explainable, and auditable.</p><p xmlns="http://www.w3.org/1999/xhtml">As organizations scale enterprise AI initiatives, trusted business context is critical for ensuring agents can reason accurately, make informed decisions, and operate within governed business processes.</p><p xmlns="http://www.w3.org/1999/xhtml">Discoverable in the Databricks Marketplace and delivered through OpenSharing, these new workflows make it easy to leverage Dun &amp; Bradstreet alongside their own data within the Databricks platform to modernize credit decisioning across the lifecycle:</p><ul xmlns="http://www.w3.org/1999/xhtml" type="disc"><li xmlns="http://www.w3.org/1999/xhtml"><b xmlns="http://www.w3.org/1999/xhtml">Faster credit origination and decisioning</b> — Through a single prompt, this workflow verifies businesses, enriches decisions with trusted commercial and risk data, and supports business decisioning on whether to approve, decline or triage a case, along with providing suggested credit limits and payment terms.</li><li xmlns="http://www.w3.org/1999/xhtml"><b xmlns="http://www.w3.org/1999/xhtml">Adaptive credit policy optimization</b> — Using an AI agent, finance teams can understand how their current credit policy is performing, identify opportunities to increase policy predictiveness, and estimate the financial impact of those changes.</li><li xmlns="http://www.w3.org/1999/xhtml"><b xmlns="http://www.w3.org/1999/xhtml">Portfolio risk monitoring and insight</b> — Finance teams can gain a clearer view of exposure across their portfolio, identify deteriorating accounts earlier, and uncover risk and growth opportunities across customers, markets or geographies.</li></ul><p xmlns="http://www.w3.org/1999/xhtml">&#34;CFOs and finance teams need more than experiments with AI; they need practical ways to improve decisions and manage risk,&#34; said Sarah Branfman, Global VP, ISV and Data Partners at Databricks. &#34;Our work with Dun &amp; Bradstreet shows what&#39;s possible when businesses bring together their own data and the decision-grade data from D&amp;B&#39;s Commercial Graph natively within the Databricks platform. By making it available through Databricks Marketplace and OpenSharing, we&#39;re helping customers build more connected credit and risk workflows that drive faster, more informed action.&#34;</p><p xmlns="http://www.w3.org/1999/xhtml">Watch the <a xmlns="http://www.w3.org/1999/xhtml" href="https://edge.prnewswire.com/c/link/?t=0&amp;l=en&amp;o=4725903-1&amp;h=2911634908&amp;u=https%3A%2F%2Fdnb-bsp.hubs.vidyard.com%2Fwatch%2FJeFQL8Wrn3pRuf7xMfW6rg&amp;a=Power+Adaptive+Credit+Decisioning+demo" target="_blank" rel="nofollow">Power Adaptive Credit Decisioning demo</a> to see these workflows in action.</p><p xmlns="http://www.w3.org/1999/xhtml"><b xmlns="http://www.w3.org/1999/xhtml">About Dun &amp; Bradstreet</b></p><p xmlns="http://www.w3.org/1999/xhtml">Dun &amp; Bradstreet provides the verified commercial identity foundation for enterprises to deploy AI at scale. The company originated the D-U-N-S&#xAE; Number in 1963, now the global standard for identifying commercial entities. Anchored by this identifier, the D&amp;B Commercial Graph&#x2122; structures and connects business identity consistently across systems, enabling AI to operate on accurate, validated data. Since 1841, businesses of every size have relied on Dun &amp; Bradstreet to navigate change and accelerate growth.</p><p xmlns="http://www.w3.org/1999/xhtml">For more information, visit <a xmlns="http://www.w3.org/1999/xhtml" href="https://edge.prnewswire.com/c/link/?t=0&amp;l=en&amp;o=4725903-1&amp;h=2860476192&amp;u=http%3A%2F%2Fwww.dnb.com%2F&amp;a=www.dnb.com" target="_blank" rel="nofollow">www.dnb.com</a>.</p>



<p xmlns="http://www.w3.org/1999/xhtml" id="PURL"><img xmlns="http://www.w3.org/1999/xhtml" title="Cision" width="12" height="12" alt="Cision" src="https://edge.prnewswire.com/c/img/favicon.png?sn=FL98643&amp;sd=2026-07-06"></img> View original content to download multimedia:<a xmlns="http://www.w3.org/1999/xhtml" id="PRNURL" rel="nofollow" href="https://www.prnewswire.com/news-releases/dun--bradstreet-brings-agentic-credit-and-portfolio-management-workflows-to-databricks-302818562.html" target="_blank">https://www.prnewswire.com/news-releases/dun--bradstreet-brings-agentic-credit-and-portfolio-management-workflows-to-databricks-302818562.html</a></p><p xmlns="http://www.w3.org/1999/xhtml">SOURCE Dun &amp; Bradstreet, Inc.</p>

Dun & Bradstreet unveiled agentic credit and portfolio-management workflows built on its Commercial Graph, accessible through Databricks Marketplace and OpenSharing. The integration promises faster origination, adaptive credit policy optimization, and real-time portfolio risk visibility, leveraging AI to reduce manual effort and improve decision quality across geographies.

Dun & Bradstreet Brings Agentic Credit and Portfolio Management Workflows to Databricks

AI Summary

Sentiment Rationale

Trading Thesis

Market-Moving

Key Facts

Companies Mentioned

Industry News

Related News