More than 70% of financial institutions still rely on manual operations for at least half of their AML activities. Rising alert volumes, fragmented systems, false positives, and growing regulatory expectations are forcing organizations to spend too much time on manual, low-value activity and not enough on real risk.
This is a clear indication that traditional, reactive compliance operating models are becoming unsustainable.
Advances in agentic AI are creating a new opportunity to transform financial crime operations. Instead of relying on disconnected workflows, repetitive reviews, and manual investigations, financial institutions can now move toward always-on, autonomous operations that continuously triage, investigate, prioritize, and support decision-making across the compliance lifecycle.
This infographic explores:
Drawing on findings from the FinCrime Frontier 2025ā26 report and SymphonyAIās experience in AI-driven financial crime prevention, the infographic highlights how institutions can reduce manual workload, improve operational efficiency, strengthen audit readiness, and accelerate investigations without scaling headcount.
Download the full infographic to explore how agentic AI is reshaping financial crime compliance.
The Sanctions Intelligence Shift (White paper)
90% reduction in manual effort: The power of AI agents in sanctions compliance (Case study)
How AI agents reduce AML investigation time by 60% (Blog)
Agentic AI, Data, & Financial Crime Control (Blog)
Re-engineering the Risk-Based Approach in AML compliance (Webinar)
Re-engineering the Risk-Based Approach with agentic AI (White paper)