After more than a decade of fighting financial crime, I’ve learned to recognize and lean in when a topic garners the attention of professionals on the front lines. Anti-financial crime professionals are smart, motivated and when something is worth their limited time, they make it known.
The Agentic AI Workforce Tour has been traveling across the United States sharing the power of the next generation of innovation with anti-financial crime professionals. At the most recent stops, five moments that earned the room’s attention were unmistakable. Phones came out to capture the slides, discussions continued long after presentations ended and excitement rippled through the room when specific capabilities were demonstrated live.
These are those moments and what they indicate about where the industry is heading.
1. Trusted and Streamlined
Trust came up at every Tour stop, and it comes down to two things: principles you can stand behind and results you can rely on. The Agentic AI Workforce is in production across more than 800 financial institutions, and some attendees shared they’re already using it with confidence for regulatory exams.
What makes implementation low friction? For institutions using Nasdaq Verafin, the Agentic AI Workforce is a natural extension of existing processes. No new systems or data sources to integrate. Data, workflows and permissions remain unchanged. Existing controls stay in place and are continuously monitored. Due diligence and security reviews are already established and ongoing.
The result: a solution that’s ready to provide results as soon as you’re ready to enable it.
This is what trust looks like in practice. Nasdaq Verafin has earned it by adhering to responsible AI principles, including transparency, reliability, accountability and oversight, that are embedded across every initiative and reviewed by an AI Governance Committee before any use case reaches production. For institutions navigating evolving regulatory requirements, that track record means adopting AI with confidence through established governance, security and model risk documentation.
When trust is earned and implementation is low friction, the conversation shifts from whether to adopt agentic AI to how soon you can get started.
2. The Future of Agentic AI: A Roadmap to Remember
Our Agentic AI Workforce roadmap always prompts extensive note-taking and photos.
That’s for a simple reason. We’re rapidly expanding the reach of the Agentic AI Workforce with an ambitious product vision that brings together AI innovation with multidisciplinary anti-financial crime expertise and will ultimately lead to Agentic AI Workforce providing coverage for 90% of AML alerts generated by the end of 2026 and 80% of fraud alerts by the end of Q1 2027.
A roadmap with this level of coverage and a clear timeline gives compliance leaders exactly what they need: an AI framework they can count on. At a time when resources are limited and judicious decision-making is key this is a significant step forward. Anti-financial crime leaders know when to expect new capabilities, can consider how to sequence their own adoption strategy and look forward to focusing their best talent on priority financial crime problems as Nasdaq Verafin streamlines onerous, repetitive tasks.
Most importantly, they’ve experienced Nasdaq Verafin deliver. We continually lead in AI innovation and do so responsibly through a principled development process and solutions that give financial institutions results.
3. The Consortium Effect in Action
Consortium intelligence is what sets the Agentic AI Workforce apart from any agentic AI solution an institution could build or buy on its own. It provides Agentic AI Analysts access to network-level data from across 2,800 financial institutions and 850 million counterparties, a level of insight that is industry-leading in scale and depth.
Access to this immense consortium enables our Agentic AI Analysts to draw on network-level insights no one individual financial institution possesses on their own, such as previously alerted entities across the network, payor-payee history spanning institutions, previous mule activity and high-risk customer accounts identified by other institutions. Unlike Agentic AI products that rely on isolated datasets, this consortium intelligence approach allows our Agentic AI Workforce to benefit from a full network of relationships, patterns and counterparty risk signals. Nasdaq Verafin leverages the collective intelligence of an entire industry, and that intelligence grows stronger with every institution that joins the network.
4. The Power of Auto-Disposition
Auto-dispositioning enables fully-autonomous end-to-end agentic AI workflows where Agentic AI Analysts triage alerts and determine whether to auto-acknowledge alerts or escalate them for manual review. Throughout the process, you maintain full transparency and control with built-in auditability across every agentic AI-driven action. Every decision and output is recorded and traceable, providing a clear audit trail that supports regulatory compliance and internal oversight.Throughout the process, you maintain full transparency and control with built-in auditability across every agentic AI-driven action. Every decision and output is recorded and traceable, providing a clear audit trail that supports regulatory compliance and internal oversight.
Auto-disposition makes our Agentic Sanctions Analyst a true force multiplier for compliance teams and proved a hallmark moment in our product demonstration. Among those who chose to join us were professionals who live with sanctions alert volumes every day. They know the false positive rates, the hours lost to reviewing alerts that go nowhere, the staffing pressure it creates. Auto-dispositioning does more than help with that workload. It fundamentally changes the equation, with a projected reduction in sanctions alert review of up to 90%.
The demonstration made the value unmistakable. Auto-dispositioning is not an incremental improvement. It is a defining shift in how financial institutions will manage alert review.
5. A Measurable Competitive Edge
Not all agentic AI solutions are created equal. In a competitive case study, the Nasdaq Verafin Sanctions Analyst delivered a 50% reduction in alerts recommended for manual review compared to a competing agentic solution. The data was direct and unambiguous, and it prompted a clear shift in the room.
Agentic AI is entering the mainstream, and financial institutions now have options. But the underlying intelligence that powers the analytics is the determining factor for performance. Our Agentic AI Analysts leverage insights from our immense consortium network and are built from the ground up with responsible AI principles, putting them a step ahead of agents operating on a single institution’s data with no network context.
The room recognized this. When it comes to choosing the right agentic AI solution for your institution, the distinction between solutions is measurable, not theoretical.
Join the Conversation
The Tour continues and at every stop the conversation is growing more specific, more engaged and more participatory. Next, we’re hosting a virtual event to bring the same demonstrations, roadmap discussion, and peer perspectives to you wherever you are. If you’ve not joined us yet, I encourage you to register for the virtual event, hear directly from experts, and see these moments unfold for yourself.
Register for the Virtual Event Here.
FAQs
What is the Agentic AI Workforce, and how is it different from traditional AI tools?
The Agentic AI Workforce is Nasdaq Verafin’s next generation of AI innovation — a set of Agentic AI Analysts designed to autonomously triage alerts, make determinations, and execute end-to-end workflows with full transparency and auditability. Unlike traditional AI tools that assist with isolated tasks, Agentic AI enables systems to make autonomous decisions while explaining the rationale behind each one, with human-in-the-loop oversight and clear audit trails that support regulatory compliance and internal governance.
How Does the Agentic AI Workforce Leverage Consortium Intelligence?
Nasdaq Verafin’s Agentic AI Workforce leverages insights from over 2,800 financial institutions and 850 million counterparties to consider previously alerted entities, payor-payee history, previous mule activity and high-risk customer accounts identified by other institutions.
What is Auto-Dispositioning for the Agentic AI Workforce?
Auto-dispositioning enables fully-autonomous end-to-end agentic AI workflows where Agentic AI Analysts triage alerts, gather context and determine whether to acknowledge alerts or escalate them for manual review.
How Does Agentic AI Workforce Compare to Competing Solutions?
In a competitive case study, the Nasdaq Verafin Agentic Sanctions Analyst delivered a 50% reduction in alerts recommended for manual review compared to a competing agentic solution. Deployed across hundreds of institutions, the Agentic AI Workforce delivers up to a 90% reduction in sanctions alert review workload and a 50% reduction in enhanced due diligence reviews.
About the Author
Scott Peddle
AVP, 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.
