An agent handles messy input well. It does not handle nobody owning the outcome.
SHORT ANSWER
An AI agent makes sense where input is unstructured, the decision is repetitive, and the cost of a mistake is low and reversible — triaging email, summarising tickets, enriching job descriptions. Where the process is rigid and predictable (moving data, sending reminders), plain automation is cheaper and safer. Any production agent needs scoped permissions, an action log, and a human approval step for irreversible operations.
Ask three questions. Is the input different every time? Does a human decide by the same rules each time? Can a mistake be undone in a minute?
Three yeses — agent. One no — a script, a form or a rule. That is not a worse answer, just a cheaper and duller one.
Service inbox triage: the agent reads the ticket, classifies the fault, assigns the right technician and drafts a reply. The human clicks send.
Filling in workshop jobs: the mechanic dictates two sentences, the agent turns them into a description, a parts list and an estimate. Five minutes saved per job, a dozen times a day.
The agent gets only the permissions it needs — not the keys to everything. It has a step limit, a cost limit and a clear line between what it may do and what it may only propose.
Everything it does is logged. When something goes wrong — and it will — you want to see exactly where it slipped, not guess.
Pick the one task that eats the most time and pleases nobody. Measure how long it takes today. Run an agent on it for two weeks and measure again. If the numbers do not move, nothing changed.
20 minutes. No pitch deck. We'll ask about your business, you'll ask us anything, and by the end of the call you'll know whether this makes sense for you.
(Worst case: 20 minutes of free advice. We can live with that.)