LEARNER · GLOBAL
What are agent loops and how they enable autonomous financial workflows
Agent loop: An AI reads a task, decides what action to take (call an API, run a query), observes the result, and repeats until it solves the problem—all without human intervention. Example: an AI agent receives a trade request, checks market data, screens counterparties, executes, and confirms settlement. No human approval needed between steps.
WHY IT MATTERS
Enables end-to-end autonomous workflows in settlement, KYC, trade execution. But introduces new operational risk: if agent hallucinates or misinterprets data, no human circuit-breaker stops it. BFSI must implement watchdog systems (anomaly detection, undo logs) to govern agent loops.
Source: OpenAI · 2026-05-21