A customer asks when an order will arrive, and someone on your team opens the order system, checks the courier page, then writes a reply. That’s a real task an AI agent might help with—but giving it the run of your inbox is a very different decision. Start with a bounded job and make the handoff clear.
Pick a task with clear edges
Look for work that happens repeatedly and follows a pattern, such as sorting incoming enquiries, finding an order status or preparing a draft response. Write down what starts the task, what information it needs and what a correct result looks like. If the steps change every time or depend on a judgement only your team can make, keep a person in charge of that decision.
A useful first version might read a new message, identify whether it concerns an order, and gather the relevant details for a staff member. That is narrower—and easier to check—than promising to resolve every customer issue automatically. The point is to reduce repetitive handling without making it harder to spot an unusual case.
Limit what it can change
An agent needs access to the tools and information required for its task, not every system your business uses. For a first test, it may be enough to let it search order details and prepare a draft, while leaving refunds, account changes and outgoing messages to a person. The exact boundaries depend on the tools you connect and the consequences of a mistake.
Decide what should happen when required information is missing or two records disagree. A sensible agent should pause and ask for help rather than guess. That pause is part of the workflow, not a failure.
Test the handoff first
Before relying on the agent, run it against ordinary examples and awkward ones: a missing order number, a customer with two open orders, or a request that does not fit the usual pattern. Check both the answer and the information it used to reach it. Keep a record of cases that needed correction so you can decide whether the instructions, connected data or task itself needs changing.
A good first agent does not need to finish the whole job. It needs to handle one repeatable step consistently and make the next human action clearer. Choose one task your team can review easily, define when the agent must stop, and only widen its role after the handoff works.