An AI workflow is a defined sequence of steps that carries a task from start to finish, where some steps are handled by AI and others run automatically. The point is to take a job that used to need a person at every stage and let the system do most of it, pausing for a human only where judgement is needed.
Picture how a new order moves through a business. It arrives, gets read, gets logged, triggers an invoice and a confirmation email, and updates stock. In an AI workflow the AI reads a free-text order or email and works out what it means, then automatic steps handle the rest, often connected with a tool like n8n. When the AI part needs to do several things in order or pick its own steps, the workflow can lean on an AI agent to carry out the task.
The strongest workflows keep a person in the loop at the risky moments. The AI handles volume and speed; the human handles the calls that are expensive to get wrong. A concrete version: a property manager gets 80 maintenance requests a week by email. The workflow reads each one, sorts it into plumbing, electrical or general, drafts a reply with the likely next step, and books a contractor slot. For a leaking tap it sends the booking on its own. For a report of a gas smell it stops and pings a manager, because that is the case where a wrong move is dangerous. Same workflow, two paths, and the person only spends time on the few that actually need them.
At TopDevs we map a client’s process first, then build AI workflows around the steps that waste the most time, so the team stops doing repetitive work and focuses on the parts that need a human.
