What is an agentic workflow? A plain-language guide

"Agentic" is 2026's most abused word. Strip the hype and the idea is simple: an agentic workflow is a business process where an AI agent, not a person, moves the work from step to step, and a person checks the results that matter.

First, what an AI agent is

A language model on its own is a very well-read intern with amnesia: it can reason about whatever you paste in front of it, but it knows nothing about your business and cannot touch your systems. An agent is that model given three things:

• A process to follow. Your workflow, written down: the steps, the rules, the exceptions, the escalation points.
• Context. The right slice of your data at the right moment: the client file, the register, the template, the history. Feeding this well is a discipline called context engineering, and it is most of the difference between an agent that performs and one that guesses.
• Tools. Scoped, typed connections to your actual systems (email, CRM, portals, file stores) so it can do things, not just talk about them.

What makes a workflow "agentic"

In a manual workflow, a person carries the work between steps: read the email, check the register, draft the letter, update the sheet, remind the manager. In an agentic workflow the agent carries it, and the people appear only where judgement or authority is genuinely needed. The workflow itself does not change; who walks it does.

A worked example

Here is a real shape we build, in the order it runs. A client onboarding pack for a professional firm:

1. An intake form lands in the agent's inbox.
2. The agent requests FICA documents, and chases politely until they arrive.
3. It checks the pack for completeness against your rules and flags anything odd for a person.
4. It drafts the engagement letter from your template, for review, not auto-sending.
5. It creates and tags the CRM record.
6. It schedules the kick-off call and confirms on WhatsApp.

Notice the two review points. Good agentic workflows are designed around where a person must look, and ruthless about removing everywhere else a person currently has to look but adds nothing.

What it is not

• Not a chatbot. Nobody types questions at this system all day; it runs on schedules and triggers.
• Not RPA. No screen recordings and pixel clicking; agents read and judge. We wrote a full comparison in AI agents vs RPA.
• Not autonomy for its own sake. An agent that sends unreviewed engagement letters is a liability, not a feature. Boundaries are the engineering.

How you know it is working

Measurement, not vibes. Before an agentic workflow goes live it should be run against historical cases your team has already judged, and scored: what did it catch, what did it miss, where did it over-escalate. We call this an eval suite, and we do not take a workflow live without one. After go-live, the same measurements keep running, because your business and the models both change.

If you want to see agentic workflows in the wild, our AI agents page shows the method and our product pages show it applied: financial planning admin, construction dispute analysis and a legal AI paralegal. For budgeting, see what an AI agent costs.