Agentic Workflow

What is an Agentic Workflow?

An agentic workflow is the practical middle ground between a rigid automation and a fully autonomous agent. The skeleton stays deterministic — this trigger, then this step, then that one, with defined error handling and observability — but the steps themselves stop being literal instructions. Instead of 'send template four', the step is 'write and send the right message for this person now'. Instead of 'if title contains VP, route to tier one', the step is 'decide which tier this account belongs in and why'. The benefit over pure automation is that edge cases no longer break the run. The benefit over an unconstrained agent is that you keep the guarantees operators actually need: you know which steps ran, in what order, with what result, and where to look when something goes wrong. Most production revenue systems in 2026 are agentic workflows rather than either extreme.

Why it matters

• Keeps the auditability and error handling of deterministic workflows while removing their brittleness.
• Failure is localised — one agentic step returning a poor result does not derail the whole process.
• Steps can be upgraded independently as models improve, without redrawing the workflow.

Use cases

• Inbound triage. Fixed trigger and routing skeleton, with enrichment, scoring and first-touch drafted by agents.
• Reply handling. A deterministic branch per reply class, with the classification itself done by an agent.
• CRM hygiene. A scheduled run where the agent decides which records are stale and what the correct value is.