Financial crime is becoming faster, smarter, and more difficult to trace. By 2026, banks and regulators will approach compliance with a new mindset. The shift is away from reaction and toward prevention, partnership, and people.
For years, compliance programs have been built to respond after suspicious activity occurs. That approach is fading. Banks are adopting behavioral analytics and predictive models that help identify risk before it crosses a threshold. The goal is to anticipate issues rather than chase them.
Machine learning is helping reduce false positives and accelerate investigations, enabling teams to focus on genuine threats. SAS research shows these models are already improving case accuracy and accelerating reviews. By 2026, perpetual know-your-customer (KYC) monitoring and real-time analysis will become standard practice rather than experimental as banks realize the benefits.
About the Author
Jason Somrak is the head of financial crime products for Oracle Financial Services, where he drives the platform strategy with a focus on AI/ML detection solutions as well as investigative and reporting applications. Prior to Oracle, he worked in a variety of anti-financial crime roles at KeyBank and PNC Bank.
Human judgment, supercharged
Artificial intelligence is changing the way investigators work, but not replacing them. The newest systems will do the repetitive tasks, such as data gathering and narrative writing, freeing up valuable time for investigators to make better-informed decisions faster.
Experts describe this as the rise of the “AI co-pilot.” These tools assemble background data, summarize evidence, and propose initial findings. Still, human oversight remains essential. As Forrester Research has noted, every AI system needs people or humans in the loop as part of its fabric. The leading institutions will train compliance teams to question, interpret, and refine AI results rather than simply accept them.
Regulators as partners
Supervisors are increasingly open to innovation but expect transparency and accountability. Across the U. S., Europe, and Asia, regulators are requesting clear documentation of how models are built, tested, and governed.
Forward-thinking banks are already involving regulators early in the design process. This early collaboration helps demonstrate fairness and responsible use of AI. According to a 2025 Regology survey, 71 percent of compliance professionals say regulators are increasingly supportive of technology adoption — signaling an industry-wide move toward collaboration and shared problem-solving rather than pure enforcement. New assurance frameworks are likely to emerge in 2026 to guide responsible use of AI.
Culture as a competitive advantage
Technology can only take a compliance program so far. Culture determines whether change takes root. A 2025 study by Carnegie Mellon University found that when employees receive real-time feedback from AI systems and understand how those systems support their tasks, their trust in and adoption of AI tools significantly increase.
Financial institutions are beginning to treat AI literacy as a core competency, just like regulatory expertise. The most successful organizations will foster open communication, hands-on learning and a sense of shared purpose. As one Oracle leader said, “Technology alone will not drive transformation. Culture will.”
The bottom line
By 2026, compliance will look less like a back-office function and more like a strategic capability. The focus will be on preventing risk, not just reporting it, and on empowering people to use technology responsibly.
The institutions that thrive will be those that treat AI as both a technical tool and a cultural commitment that brings together machine intelligence, human judgment, and trust.
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