An agentic workflow is a process where AI agents handle the sequencing, decision-making, and execution — not just individual tasks within a human-managed flow. The agents determine what needs to happen next based on the current context rather than a pre-scripted path.
Traditional workflow automation defines every possible path in advance. Agentic workflows handle unexpected inputs and branch conditions without breaking, because the agents are reasoning through decisions rather than following rigid rules.
A claims processing workflow where the agent reads a submitted claim, pulls policy details, checks fraud indicators, requests missing documents, and routes complex cases for human review is running as an agentic workflow — adapting at each step based on what it finds.
