Regulatory Surveillance: How AI Can Detect More Risk in Fewer Communications

In the area of regulated communication surveillance, AI proves exceptionally effective, delivering significant value beyond its expected capacity.

Machine Learning, in particular, excels in this high-risk, resource-intensive environment by:

• Providing disproportionate cost savings
• Mitigating far greater levels of risk compared to traditional human surveillance methods

Highly-trained reviewers, who monitor regulated communications for compliance breaches, are costly and often needed in large numbers.

• Banks and law firms may employ hundreds of these experts to review thousands of emails, messages, and voice call transcriptions daily.

AI can now take on much of this workload, operating automatically 24/7 and handling the task with efficiency far surpassing human capabilities.