Agentic Workflow

An agentic workflow is a single recurring queue of work — review response, lead intake, document review, recurring reporting, follow-up — handled end-to-end by an agentic AI system, with human approval gates at every consequential decision and a full audit log of every action taken. The unit of work is the queue. The unit of accountability is the workflow.

Agentic workflows differ from traditional automation in a specific way. RPA (robotic process automation) and rule-based scripts handle work that has been fully decomposed into deterministic steps — if the input deviates from the script's expectations, it breaks. An agentic workflow handles work where the routine cases are predictable but the edge cases are not. The agent uses the underlying language model to reason through unusual inputs, and the workflow's design says what the agent is allowed to decide on its own and what has to wait for a human.

A well-shipped agentic workflow has six properties. (1) The scope is one queue, not the whole operation. (2) The decision rules are written down and signed off before anything goes live. (3) Every action is logged, including what the agent considered and rejected. (4) Consequential decisions are gated by human approval — nothing customer-facing or money-moving auto-executes. (5) Cases the agent can't handle confidently are queued for the responsible human with full context attached. (6) The runbook documents how the workflow operates well enough that the team can take over operating it if the engagement ends.

The most common shapes — what we ship most often — are intake and lead routing, first-pass document review, recurring reporting, vendor invoice triage, customer support routing, and outbound follow-up. Each is bounded enough to ship inside three weeks and produces measurable before/after data the firm can use to scope the next workflow.