The compliance leaders guide to agentic AI
This guide provides a practical framework for evaluating agentic AI solutions purpose-built for regulated financial institutions — moving beyond the hype to give you the criteria that separate audit-ready platforms from everything else.
Financial crime compliance has become a brake on innovation. The status quo is needlessly costly and exhausting, with large institutions spending hundreds of millions annually on analysts clearing alerts that should never have been flagged. That operational strain leaves less capacity for the complex investigations that actually matter — forcing a choice between mitigating risk and enabling growth.
Agentic AI offers a third path. By automating high-volume investigative work, it turns compliance from an inefficient requirement into a strategic lever for your institution. But solutions vary widely in architecture, capabilities, and regulatory readiness. Selecting the wrong one creates more problems than it solves.
What's Inside
The three distinctions that define the market. Not all agentic AI is built the same. Learn the critical differences between Bank-Grade and Fintech-Grade solutions, AI-Native and Bolt-On architecture, and Platform and Point solutions — and what each means for your compliance infrastructure.
Five evaluation criteria for regulated environments. A detailed breakdown of what matters most for project success: integration approach, deployment flexibility, system integrity, regulatory validation, and ongoing maintenance. Each criterion includes best-in-class features to look for and real-world benchmarks.
A ready-to-use vendor scorecard. Compare potential partners side by side across every dimension that matters — so your team can make a decision grounded in evidence, not demos.
Proof it works. See how institutions using agentic AI have reduced false positives by 98%, cut due diligence time by 70%, and earned positive feedback from the OCC.
Evaluate agentic AI with the rigor your regulators expect.