Webinar Description
Key Takeaways
- Webinar series examining how financial institutions are deploying agentic AI to address financial crime at operational scale
- Focus areas include fraud investigations, AML compliance, and automation of judgment-intensive workflows
- Designed for fraud managers, compliance officers, operations leaders, and product managers at banks and credit unions
- Addresses the challenge of scaling investigations without proportional headcount increases
- Features practitioners from NICE Actimize, KeyBank, and REV Federal Credit Union
Introduction
Agentic AI in Financial Crime: From Experimentation to Impact is a virtual webinar series exploring how regulated financial institutions are moving beyond pilot programmes to deploy AI agents in live operational environments. The series is aimed at fraud, compliance, risk, and operations professionals seeking practical guidance on implementing agentic AI within investigative workflows. As alert volumes continue to rise across the financial sector and regulatory expectations intensify, institutions face mounting pressure to improve efficiency without compromising investigation quality or compliance standards.
The Shift from Pilot Programmes to Production Systems
Financial institutions have experimented with artificial intelligence for several years, but many initiatives have stalled at the proof-of-concept stage. This webinar series addresses the specific challenges that arise when organisations attempt to transition AI agents from controlled testing environments into production systems handling real investigations. The distinction matters because production deployment introduces complexities around governance, auditability, and integration with existing compliance frameworks that do not surface during experimentation.
Agentic AI differs from traditional automation in its capacity to handle judgment-intensive tasks that previously required human analysts. Rather than simply flagging suspicious activity for manual review, agentic systems can gather evidence, assess context, and recommend or execute decisions within defined parameters. This capability is particularly relevant for financial crime operations, where investigators routinely process high volumes of alerts that follow recognisable patterns but still require contextual evaluation.
Operational Challenges in Financial Crime Prevention
The series addresses several persistent operational challenges facing financial crime teams. Alert volumes have grown substantially as transaction monitoring systems become more sensitive and fraud typologies proliferate. Many institutions find themselves unable to scale investigative capacity proportionally, creating backlogs that extend time-to-decision and increase regulatory risk.
Traditional approaches to this problem have involved either accepting longer investigation timelines or expanding analyst headcount, neither of which proves sustainable at scale. Agentic AI offers an alternative by automating portions of the investigative workflow while maintaining the governance controls that regulated environments require. The webinar sessions examine how organisations can measure operational impact, design feedback-driven improvement cycles, and integrate AI-assisted decisions with existing policy frameworks.
Governance and Compliance Considerations
Deploying autonomous systems within regulated financial services introduces governance requirements that extend beyond technical implementation. Institutions must demonstrate that AI-driven decisions align with regulatory expectations, maintain appropriate audit trails, and incorporate human oversight at critical junctures. The series explores frameworks for integrating agentic AI with compliance policies, ensuring that automation enhances rather than undermines institutional accountability.
This governance dimension distinguishes financial crime applications from AI deployments in less regulated contexts. Decisions made during fraud investigations and AML reviews carry legal and regulatory consequences, making explainability and auditability essential rather than optional features.
Who Should Attend
The webinar series is designed for mid-to-senior professionals working in fraud operations, AML compliance, risk management, and financial crime prevention. Relevant roles include fraud managers, compliance officers, operations managers, senior directors, and product managers responsible for investigative technology. Attendees from banks, credit unions, and other regulated financial organisations will find the content most directly applicable to their operational context.
Industry Perspectives
The series features speakers from NICE Actimize alongside practitioners from KeyBank and REV Federal Credit Union, providing perspectives from both technology providers and institutions implementing these systems in practice. This combination offers attendees insight into both the technical capabilities of agentic AI platforms and the practical realities of deploying them within established financial crime programmes.