Financial crime is getting harder to fight. As AI makes fraud and money laundering cheaper and easier to execute, the institutions responsible for catching it are still largely doing it by hand.

The numbers are staggering. Banks spend billions annually on compliance operations — thousands of analysts manually reviewing, investigating and escalating suspicious activity across fraud and money laundering cases. And despite the investment, the problem is growing. The gap between the sophistication of bad actors and the tools used to catch them is widening.

This is not a technology problem that has gone unnoticed. It is one that has resisted easy solutions — because financial crime compliance is one of the most heavily regulated, high-stakes workflows in banking. The cost of getting it wrong is enormous, both financially and reputationally. For AI to work here, it cannot just be capable. It has to be reliable, auditable and built to meet the stringent expectations of regulators and institutions alike.

That is exactly what Arva was built to do.

Arva is partnering with Fiserv, one of the largest financial infrastructure companies in the world, powering thousands of banks and credit unions across the US. "Financial crime compliance remains one of the most pressing and immediate challenges facing financial institutions today, and enabling trusted, scalable innovation in this area is a priority to us," said Dhivya Suryadevara, Co-President, Fiserv. 

Through Fiserv's agentOS platform, Arva's AI agents will be available to financial institutions — automating the compliance workflows that have long been resistant to change, and doing so within a governed, bank-grade environment. 

This is one of the first deployments of agentic AI into financial crime compliance at real banking infrastructure scale. It is a meaningful signal for where AI in financial services is heading. The fact that institutions are now deploying agentic AI into one of the highest stakes, most regulated workflows in banking speaks to how far the technology has come — and how urgent the problem has become.

Financial crime compliance has been under-automated for too long. The tools exist to change that — and this partnership is a significant step in bringing them to the institutions that need them most.