We replaced 73 hours of weekly alert triage with 10 AI agents. Here is what the architecture looks like.
A compliance team at a European neobank has successfully reduced alert triage time from 73 hours a week to just 10 AI agents. The AI agents handle the majority of alerts, which are often false positives, allowing analysts to focus on genuine risks. This shift in architecture aims to improve efficiency and reduce the burden of manual data reconciliation in compliance tasks.
- ▪Most compliance teams spend 73 hours a week on alert triage, with around 95% of alerts being false positives.
- ▪The new architecture employs 10 AI agents to investigate alerts in parallel, significantly reducing the time analysts spend on confirming non-issues.
- ▪Traditional threshold-based systems are ineffective at providing context, leading to excessive manual data assembly for analysts.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3764405) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Stuart Watkins Posted on May 27 • Originally published at zenoo.com We replaced 73 hours of weekly alert triage with 10 AI agents. Here is what the architecture looks like. #agents #ai #architecture #automation TL;DR: Most compliance teams spend 73 hours a week on alert triage. Around 95% of those alerts are noise.
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