Agentic AI in Financial Crime: From Experimentation to Impact 

A series exploring how financial institutions are deploying agentic AI in production across investigations, fraud operations and AML compliance. 

Session 1: Innovation Meets Impact: Driving Reliable, Real-World Results with Agentic AI

May 14, 10 AM ET / 3 PM BST

Financial institutions are rapidly experimenting with AI agents to enhance investigations, automate workflows and improve operational efficiency. Yet while many organizations are piloting these capabilities, far fewer have successfully deployed them in production. 

In this session, we explore what it takes to move from experimentation to reliable operational impact with agentic AI. Using real-world financial crime investigation examples, we examine how AI agents can support investigators, orchestrate complex workflows and operate within the governance and policy frameworks required in regulated environments. 

Attendees will gain a practical framework for understanding where agentic AI delivers value today and how organizations can design and measure successful deployments. 

What You'll Learn

• Understand what AI agents actually are and where they create value 

Learn how agentic AI differs from traditional automation and how these systems support judgment-intensive investigative work. 

• Expand from isolated use cases to full investigative workflows 

Understand how agents support multi-step investigative processes, synthesizing information across data sources and surfacing explainable insights and recommendations. 

• Design agentic systems that work in regulated environments 

Learn how to incorporate policies, procedures and governance guardrails into agentic workflows to keep outputs transparent, auditable and compliant. 

• Measure the real operational impact of agentic AI 

Discover how organizations evaluate success using metrics such as investigator productivity, cycle time reduction, consistency and quality improvements. 

• Enable continuous improvement with feedback-driven systems 

Explore how agentic AI evolves over time through evaluation frameworks, investigator feedback and adaptive learning.

Speakers:

Preeda Rajasekaran

Principal Product Manager
NICE Actimize

Jason Vinson

Senior Director, Product Management
NICE Actimize

Session 2: Faster Fraud Investigations Using Agentic AI

May 19, 11 AM ET / 4 PM BST

Fraud investigation teams face mounting pressure: alert volumes are rising, schemes are growing more complex and investigators are expected to reach faster and better-quality decisions with finite resources. Traditional automation handles repetitive tasks but stops short when investigations require judgment, context and the ability to act across multiple systems. 

In this session, we explore how agentic AI is changing the way fraud investigations are conducted. We examine how AI agents can autonomously gather evidence, cross-reference data sources and surface actionable recommendations, enabling investigators to focus on decisions that matter most. 

Drawing on real-world fraud investigation scenarios, attendees will see how agentic AI reduces time-to-decision, supports consistent case quality and scales fraud operations without proportional headcount growth. 

What You'll Learn

• See how agentic AI accelerates fraud triage and case initiation 

Understand how agents automatically gather and organize case-relevant data, reducing the time investigators spend on low-value, repetitive evidence collection. 

• Learn how agents support complex, multi-step fraud schemes 

Explore how agentic workflows handle fraud patterns spanning channels, products and customer relationships, connecting signals that siloed tools miss. 

• Apply governance guardrails to fraud investigation workflows 

Discover how to design human-in-the-loop checkpoints and audit trails that maintain compliance and decisioning accountability in agentic fraud systems. 

• Quantify the operational gains in fraud investigations 

Learn how to measure improvements in alert-to-decision time, case closure rates, false positive rates and investigator capacity when agentic AI is deployed. 

• Scale fraud operations intelligently without scaling headcount 

Understand how leading fraud teams use agentic AI to absorb growing alert volumes while maintaining and improving investigation quality. 

Speakers:

Richard Stocks

Senior Product Manager
NICE Actimize

Pam Strait

Ops Senior Department Manager, Fraud Product, Change and Project Management
KeyBank

Jessica Cartrette

Fraud Manager
REV Federal Credit Union