Sensitive triggers flooded the queue; analysts cleared cases one at a time. Four agents now pre-screen each anomaly in parallel.
One of Brazil's leading digital banks, running fraud prevention across multiple product lines with statistical anomaly detection that flags unusual transaction behavior in near real time.
The anomaly triggers were calibrated for sensitivity, generating a high volume of false positives that required human analysts to review each flagged...
“Manual triage is inherently sequential, one case at a time, no matter how experienced the analyst is.”
Digital wallet and financial services platform for payments and credit.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
PicPay's Fraud risk scoring is part of this use case:
Related implementations across industries and use cases
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Creditworthy but credit-invisible: millions of Colombians locked out. Graph ML mapped their behavior instead, making them legible to lending.
Business users queued requests to specialists for simple questions. Now they ask in plain language—business knowledge drives the work.
Fraud signals buried in unstructured bank data. Generative AI now categorizes each account before models score 500 transactions per second.
Agents manually checked data across scattered systems. AI now scans unstructured evidence in seconds, boosting fraud detection 6x.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
37 steps and 16 handoffs to send one email. Agents rebuilt the workflow from scratch — 3 weeks became 2 days.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Sensitive triggers flooded the queue; analysts cleared cases one at a time. Four agents now pre-screen each anomaly in parallel.
One of Brazil's leading digital banks, running fraud prevention across multiple product lines with statistical anomaly detection that flags unusual transaction behavior in near real time.
The anomaly triggers were calibrated for sensitivity, generating a high volume of false positives that required human analysts to review each flagged...
“Manual triage is inherently sequential, one case at a time, no matter how experienced the analyst is.”
Digital wallet and financial services platform for payments and credit.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
PicPay's Fraud risk scoring is part of this use case:
Related implementations across industries and use cases
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Creditworthy but credit-invisible: millions of Colombians locked out. Graph ML mapped their behavior instead, making them legible to lending.
Business users queued requests to specialists for simple questions. Now they ask in plain language—business knowledge drives the work.
Fraud signals buried in unstructured bank data. Generative AI now categorizes each account before models score 500 transactions per second.
Agents manually checked data across scattered systems. AI now scans unstructured evidence in seconds, boosting fraud detection 6x.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
37 steps and 16 handoffs to send one email. Agents rebuilt the workflow from scratch — 3 weeks became 2 days.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.