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    <title>topic CUSTOMER STORY | PicPay automates fraud triage with Databricks Genie Agents in Announcements</title>
    <link>https://community.databricks.com/t5/announcements/customer-story-picpay-automates-fraud-triage-with-databricks/m-p/170636#M1108</link>
    <description>&lt;P&gt;&lt;I&gt;&lt;SPAN&gt;“Genie Agents made our risk management more agile and efficient, helping us to identify and prioritize potentially fraudulent transactions.”&lt;/SPAN&gt;&lt;/I&gt; &lt;STRONG&gt;-&amp;nbsp; Flávio Arena, Tech Manager, PicPay&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;PicPay, one of Brazil’s leading digital banks, uses statistical anomaly triggers to flag unusual transaction behavior in near real time. But the sensitivity that helped surface potential fraud also created a growing queue for human review. With&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/product/genie/agents" target="_blank"&gt; &lt;SPAN&gt;Databricks Genie Agents&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;, PicPay added a coordinated four-agent triage layer that assesses flagged anomalies, prioritizes risk and keeps analysts in the loop.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;Key highlights:&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;60% fewer false positives:&lt;/STRONG&gt;&lt;SPAN&gt; Agent-based risk scoring reduced the number of alerts escalated to human reviewers.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;93% early detection on disputed value:&lt;/STRONG&gt;&lt;SPAN&gt; Among anomalies routed to the agents, 93% of the value later disputed by customers had already been classified as high risk during triage.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;10x faster response at peak volume:&lt;/STRONG&gt;&lt;SPAN&gt; Parallel processing replaced sequential manual review, enabling near real-time action on potential fraud.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;15–20 minutes to 3–7 minutes:&lt;/STRONG&gt;&lt;SPAN&gt; Splitting analysis across four focused agents improved consistency while shortening processing time.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Four coordinated agents:&lt;/STRONG&gt;&lt;SPAN&gt; PicPay analyzes the flagged transaction window, retrieves historical behavior, consolidates findings into a risk score and standardizes the output before human review.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Auditable decisions:&lt;/STRONG&gt;&lt;SPAN&gt; Supervisors can inspect the agent conversation, the exact query run against the database and the resulting response.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P class="p8i6j01 paragraph"&gt;&lt;A style="background-color: #ff3621; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; display: inline-block;" href="https://www.databricks.com/customers/picpay/genie?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank" rel="noopener"&gt; &lt;span class="lia-unicode-emoji" title=":link:"&gt;🔗&lt;/span&gt; Check out the full story &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_left:"&gt;👈&lt;/span&gt;&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Mon, 05 Oct 2026 15:10:24 GMT</pubDate>
    <dc:creator>Tushar_Parekar</dc:creator>
    <dc:date>2026-10-05T15:10:24Z</dc:date>
    <item>
      <title>CUSTOMER STORY | PicPay automates fraud triage with Databricks Genie Agents</title>
      <link>https://community.databricks.com/t5/announcements/customer-story-picpay-automates-fraud-triage-with-databricks/m-p/170636#M1108</link>
      <description>&lt;P&gt;&lt;I&gt;&lt;SPAN&gt;“Genie Agents made our risk management more agile and efficient, helping us to identify and prioritize potentially fraudulent transactions.”&lt;/SPAN&gt;&lt;/I&gt; &lt;STRONG&gt;-&amp;nbsp; Flávio Arena, Tech Manager, PicPay&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;PicPay, one of Brazil’s leading digital banks, uses statistical anomaly triggers to flag unusual transaction behavior in near real time. But the sensitivity that helped surface potential fraud also created a growing queue for human review. With&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/product/genie/agents" target="_blank"&gt; &lt;SPAN&gt;Databricks Genie Agents&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;, PicPay added a coordinated four-agent triage layer that assesses flagged anomalies, prioritizes risk and keeps analysts in the loop.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;Key highlights:&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;60% fewer false positives:&lt;/STRONG&gt;&lt;SPAN&gt; Agent-based risk scoring reduced the number of alerts escalated to human reviewers.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;93% early detection on disputed value:&lt;/STRONG&gt;&lt;SPAN&gt; Among anomalies routed to the agents, 93% of the value later disputed by customers had already been classified as high risk during triage.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;10x faster response at peak volume:&lt;/STRONG&gt;&lt;SPAN&gt; Parallel processing replaced sequential manual review, enabling near real-time action on potential fraud.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;15–20 minutes to 3–7 minutes:&lt;/STRONG&gt;&lt;SPAN&gt; Splitting analysis across four focused agents improved consistency while shortening processing time.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Four coordinated agents:&lt;/STRONG&gt;&lt;SPAN&gt; PicPay analyzes the flagged transaction window, retrieves historical behavior, consolidates findings into a risk score and standardizes the output before human review.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Auditable decisions:&lt;/STRONG&gt;&lt;SPAN&gt; Supervisors can inspect the agent conversation, the exact query run against the database and the resulting response.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P class="p8i6j01 paragraph"&gt;&lt;A style="background-color: #ff3621; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; display: inline-block;" href="https://www.databricks.com/customers/picpay/genie?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank" rel="noopener"&gt; &lt;span class="lia-unicode-emoji" title=":link:"&gt;🔗&lt;/span&gt; Check out the full story &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_left:"&gt;👈&lt;/span&gt;&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 05 Oct 2026 15:10:24 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/customer-story-picpay-automates-fraud-triage-with-databricks/m-p/170636#M1108</guid>
      <dc:creator>Tushar_Parekar</dc:creator>
      <dc:date>2026-10-05T15:10:24Z</dc:date>
    </item>
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