Scaling compliance with Agentic Auto-Remediation

The model for managing financial crime risk is changing.

Today, an estimated 90% of alerts are considered noise, creating significant manual backlogs that slow down business operations and prevent teams from focusing on genuine risk. As manual workloads continue to rise, compliance leaders need a way to scale that ensures accuracy without simply adding more headcount.

With agentic auto-remediation, specialized AI agents act as an extension of your compliance team, providing the speed and reasoning needed to manage risk at scale. By autonomously resolving approximately 85% of routine alerts, they eliminate false-positive fatigue so your experts can stay sharp and focus their energy on the high-probability threats that matter most.

You’ll learn how to:

• Understand what agentic auto-remediation is and how it differs from rules-based automation.
• Identify which types of alerts may be suitable for automated remediation and which require human review.
• Apply controls, thresholds, and escalation paths to align automation with your risk appetite
• Reduce alert noise while maintaining explainability and auditability.
• Evaluate how agentic auto-remediation can support more scalable screening and ongoing monitoring operations.

Watch on-demand to learn how agentic auto-remediation can help your team scale compliance with confidence.