Customer Story

Reducing Compliance Noise Across 15 Financial Institutions

LEDE: Financial institutions reduced manual email review volume up to 70% in a two-month evaluation of AI-driven noise reduction within compliance workflows. Compliance teams are reviewing more communications than ever, but much of that volume adds little value. This report shares findings from a two-month evaluation across 15 financial institutions, showing how AI can reduce manual review workload, improve accuracy, and free up supervisory capacity, without compromising compliance or control.

What you’ll learn

How to:

  • Reduce low-value communication in supervision workflows
  • Improve classification accuracy with AI-driven models
  • Reallocate review capacity to higher-risk activities
  • Maintain compliance with defensible, auditable controls
  • Scale supervision without increasing operational burden

Why this matters

As communication volumes grow, supervisory teams face increasing pressure to review more with the same resources. This evaluation highlights the measurable impact of reducing low-value noise at scale:

  • Up to 70% reduction in manual email review volume
  • 99.65% accuracy in identifying low-value communications
  • Analysis of over 2.1M emails across 15 institutions
  • Thousands of hours redirected to higher-value work
  • Greater focus on investigations, escalations, and risk

See how AI reduces noise at scale

Access the full report to see how financial institutions applied AI-driven noise reduction across real-world supervisory workflows, reduced manual review effort, and redirected capacity toward higher-risk activities, while maintaining compliance, accuracy, and control.

GET THE REPORT