Let's integrate AI Agents in Event-Sourced Systems

Official Schedule Context

Fraud detection has always been a race against time. In traditional event-sourced systems, every

transaction, login, or transfer is captured as a sequence of immutable events. These events tell a

clear story — but only after the fact. What if events could do more than just record history? What

if they could talk back? In this talk, we’ll explore how agentic event-driven systems transform

fraud detection. Imagine every PaymentInitiated, LoginAttempt, or DeviceChanged event not just being

logged, but immediately consumed by an autonomous Fraud Detection Agent. This agent correlates

events across accounts, reasons over historical event streams, and generates new events like

SuspiciousActivityFlagged or TransactionHeldForReview. Through a real-world inspired use case in

banking and digital payments, we’ll show: - How event sourcing provides the perfect memory layer for

fraud detection agents - Patterns for agents to safely inject new domain events without violating

invariants - How to avoid runaway feedback loops when multiple agents interact (e.g., fraud +

compliance + customer service agents) - Governance, auditing, and explainability challenges when

autonomous agents take part in mission-critical workflows By the end of this session, you’ll see how

event-driven DDD systems evolve when agents stop being passive consumers and start actively shaping

the event stream — turning fraud detection from a reactive process into a proactive, adaptive

defense.

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