Agentic AI for financial crime management has moved from promise to practice. With Agentic AI Workforce now producing results across more than 800 financial institutions, the technology is proven in production as an operational capability. What now separates the institutions pulling ahead? How they deploy agentic AI at scale, how they govern it within a highly regulated industry and how they design the division of work between human investigators and Agentic AI Analysts. That is the conversation Nasdaq Verafin’s Agentic AI Workforce Tour is capturing as it brings financial crime professionals together from coast to coast.
In Boston, discussions often focused on possibility. By the time the Tour reached Omaha, Orlando and Philadelphia, the conversation had shifted. Inspired by the proven, rapid time to value their peers are achieving in production, financial institutions turned their attention to what comes next: scaling operations, governing the technology and measuring outcomes. The three questions we heard most often trace the shape of an industry moving from exploration toward execution.
1. How Is the Agentic AI Workforce Delivering Results at Scale?
A core challenge in financial crime management is investigative capacity. Institutions face a growing volume of alerts and cases and the limiting factor is the time and attention of skilled investigators. Agentic AI Workforce addresses that constraint directly by expanding the capacity of every analyst.
During the Omaha Tour stop, attendees heard how FNBO has successfully incorporated Agentic AI Analysts into their financial crime management program, automating investigative research, gathering supporting information, and producing documented recommendations, helping analysts begin reviews with much of the foundational work already completed. These outcomes provided a practical example of what Agentic AI Workforce adoption looks like — a reality that resonated with other professionals eager to likewise pair agentic AI with strong governance, oversight and performance monitoring. As one attendee said, “the most exciting takeaway was the opportunity to give every investigator a digital teammate. Rather than replacing analysts, the Agentic AI Workforce can handle much of the repetitive research, documentation and review work that consumes our time today.”
For a growing number of financial institutions, Agentic AI Workforce is an operational capability helping to increase their investigative capacity, improve consistency and enable investigators to focus their expertise where it delivers the greatest value. For those still weighing the opportunity, the path forward is becoming increasingly clear.
2. How Does Nasdaq Verafin Support Responsible Agentic AI Workforce Governance?
Financial institutions are placing increased importance on our values that ensure Agentic AI Workforce can be trusted, governed and scaled within our highly regulated industry. Nasdaq Verafin has earned this trust across 20 years of AI innovation and today we adhere strictly to responsible AI principles that guide everything we do. These principles — transparency, reliability, accountability and oversight — are embedded across all Nasdaq AI initiatives and reviewed consistently by an AI Governance Committee that oversees every AI use case before it reaches production.
This focus on governance is not just our priority — it is what institutions are asking for. Across the Omaha, Orlando, and Philadelphia Tour stops, attendees consistently named governance-related priorities; AI policy approval, legal and compliance review, and audit-trail visibility were among what mattered most to advance adoption. As one attendee in Philadelphia noted, they came with “expectations for ongoing governance once AI agents are in use.”
Not only did the Tour sessions demonstrate the power of our product, they also showed how these requirements are addressed through key features such as human-in-the-loop oversight, clear audit trails and Quality Management for the Agentic AI Workforce that provides another layer of governance through sampling, performance metrics and trend analysis.
Transparency, auditability and human oversight are what make innovation scalable.
3. How Can Investigators and Agentic AI Workforce Operate Together?
As Agentic AI Workforce adoption grows, the conversation is shifting from what AI can do to how work should be divided between people and their agentic counterparts. Throughout the Tour, financial institutions were examining how AI and human expertise can work together to improve efficiency, consistency and outcomes.
The most successful AI strategies are built around extending human judgment. They help investigators move away from low-value, high-volume work to free time to investigate highly complex cases such as human trafficking and crime rings. Agentic AI Workforce is a case in point, allowing investigators to begin low-value alert reviews with research compiled, evidence documented and recommendations prepared so they can focus on where their expertise has the greatest impact. As one attendee in Philadelphia observed, “The prepopulated alert resolutions generated by the Agentic AI Analysts will go a long way in both enhancing the quality and consistency of rationale.”
Agentic AI Workforce addresses repeatable work and enables financial institutions to reserve human judgment for complex scenarios where it matters most.
Join the Conversation
The questions emerging from the Agentic AI Workforce Tour reflect an industry preparing to put agentic AI to work. Financial institutions are examining operational scale, governance, implementation and the relationship between human expertise and Agentic AI Analysts. The Tour is providing answers through detailed demonstrations, transparent discussion and practical perspectives from institutions already progressing along their adoption journeys.
The institutions that will lead the next era of financial crime fighting are those building the capacity and expertise to scale agentic AI.
If you have not joined us yet, I encourage you to attend an upcoming Tour stop, hear directly from industry peers and Nasdaq Verafin experts and contribute your perspective.
Explore upcoming Agentic AI Workforce Tour stops and register on verafin.com.
ABOUT THE AUTHOR
Scott Peddle
VP, AML Product Strategy
As Vice President, AML Product Strategy, Scott leads product strategy for the Agentic AI Workforce at Nasdaq Verafin. A Software Engineer by background, Scott has spent years across Nasdaq Verafin’s Software Development, Product Management and Project Management teams, giving him a deep understanding of the full customer experience. He is a passionate public speaker, problem solver, and customer evangelist. His dedication to Nasdaq Verafin’s customers is fueled by a belief that successful customer partnerships and a commitment to working together are key in staying ahead of fraudsters in the world of financial crime.
