New research has put a concrete figure on the cost savings available to major banks that adopt artificial intelligence in their compliance operations,and the numbers are striking.
In an economic analysis of Quantifind’s AI-powered Graphyte platform, Celent estimates that Tier 1 banks could cut their know-your-customer (KYC) and sanctions alert-processing costs by as much as $177.9m annually. The projected savings stem primarily from improved screening accuracy and greater automation across compliance workflows, two areas where legacy rule-based systems have historically struggled.
The findings were discussed in a joint webinar hosted by Celent head of risk research Ian Watson and Quantifind chief product officer Adam Mulliken, who outlined both the methodology behind the cost-savings model and the broader operational case for AI-driven risk intelligence.
A central theme of the session was the financial and operational toll of false positives — alerts generated by screening systems that flag legitimate transactions or customers as potential risks. For large financial institutions processing millions of transactions daily, even marginal improvements in screening precision can translate into substantial reductions in analyst workload and investigation time. The Celent analysis suggests that AI-driven systems like Graphyte are capable of delivering those improvements at scale.
The webinar also addressed how financial institutions are using smarter screening tools to build greater confidence in their regulatory posture. Faster, more accurate investigations not only reduce costs but also strengthen a bank’s ability to demonstrate compliance to regulators, a concern that has intensified as enforcement scrutiny around sanctions and financial crime has grown globally.
Looking ahead, Watson and Mulliken pointed to what they described as the next frontier in compliance automation: agentic AI. Unlike conventional automation, which handles defined tasks within set parameters, agentic AI systems are designed to operate more autonomously, carrying out multi-step analyst workflows with minimal human intervention. For compliance teams under persistent resource pressure, this could represent a significant shift in how financial crime risk is managed.
The research arrives at a moment of growing appetite among banks for technology that can do more with less. With compliance costs continuing to rise and regulatory expectations showing no sign of easing, the case for AI-driven screening, backed now by quantified, institution-level projections, is becoming harder to ignore.
Watch the webinar on-demand here.
Copyright © 2026 RegTech Analyst
Copyright © 2018 RegTech Analyst
