Webinar Description
Key Takeaways
- Explores multi-agent orchestration across fraud detection, investigation and regulatory reporting workflows
- Addresses governance frameworks for scaling agentic AI from pilot deployments to production fleets
- Covers role-based controls, cross-agent audit trails, lifecycle management and rollback procedures
- Relevant for FRAML professionals managing AI-driven compliance operations
- Part of the Agentic AI in Fraud & AML webinar series
Introduction
Trust at Scale: Multi-Agent Orchestration for Fraud, Investigation, and Reporting is a webinar scheduled for August 2026 that examines the operational and governance challenges of deploying multiple AI agents across financial crime compliance workflows. The session targets fraud and anti-money laundering professionals who are moving beyond single-agent pilots toward coordinated AI systems operating across the full FRAML lifecycle. As financial institutions increasingly adopt agentic AI to automate detection, case investigation and suspicious activity reporting, questions around oversight, accountability and system coherence have become pressing concerns for compliance leaders.
About This Event
This webinar is the second episode in the Agentic AI in Fraud & AML series. While the first episode demonstrated how a single agent can translate plain-language instructions into tested, governed controls within minutes, this session addresses the more complex scenario of multiple agents operating simultaneously across different compliance functions. Attendees can participate without having viewed the previous episode.
Multi-Agent Coordination Across the FRAML Lifecycle
The session examines how detection, investigation and reporting agents hand off work to one another throughout the fraud and anti-money laundering lifecycle. In a multi-agent environment, a detection agent might identify suspicious activity and pass relevant case data to an investigation agent, which then prepares materials for a reporting agent responsible for regulatory filings. Understanding these handoff mechanisms is essential for maintaining data integrity and ensuring that no critical information is lost or duplicated as cases move through the compliance pipeline.
The webinar will map these workflows in detail, illustrating how organisations can design agent interactions that preserve context and maintain clear chains of custody for compliance evidence.
Governance Frameworks for Scaled Agent Deployments
Scaling from a single pilot agent to a fleet operating in production introduces governance challenges that many organisations underestimate. The session addresses what typically breaks first during this transition and how compliance teams can prepare for common failure modes.
Key governance topics include role-based access controls that determine which agents can perform specific actions, cross-agent audit trails that enable investigators to reconstruct decision pathways, lifecycle management for deploying and retiring agents, and rollback procedures for reverting to previous configurations when issues arise. These controls become increasingly important as the number of active agents grows and their interactions become more complex.
Avoiding Orchestration Sprawl
A central theme of the webinar is the risk of orchestration sprawl, a condition where adding more agents creates additional blind spots rather than operational leverage. Without careful design, organisations may find that their multi-agent systems generate gaps in coverage, conflicting outputs or accountability vacuums that are difficult to detect until they manifest as compliance failures or missed alerts.
The session will demonstrate techniques for identifying these blind spots before they become incidents, helping compliance teams maintain visibility and control as their agentic AI capabilities expand.
Who Should Attend
This webinar is designed for fraud analysts, AML compliance officers, financial crime technology leaders and operations managers responsible for implementing or overseeing AI-driven compliance systems. Professionals evaluating multi-agent architectures or preparing to scale existing pilot programmes will find the governance and coordination frameworks particularly relevant.