How to train staff to work with an AI agent

Teach the part of the job that changes for the employee. A branch receptionist who verifies a drafted service request needs to know where the draft appears, which facts to inspect and what to do when the request is unclear. A lecture on how language models work gives them little practice with those decisions.

Give every trainee three cases

Use a normal draft that can be approved, a polished draft with one consequential error and a case that needs to leave the automated path. For a repair business, the error might be a part number one digit away from the requested model. The escalation might involve equipment damage that the service manager must assess.

Have the employee work through all three using the screens and permissions they will have on a normal shift. Watch whether they can find the original source, change the wrong part number and assign the damage case to the right person. If they need the trainer’s administrator login to do any of these, fix the access or the procedure before rollout.

Give staff a way to report a bad result

Put a short feedback path beside the work. Ask for the case reference, what the draft proposed and what the reviewer changed. Keep sensitive details in the approved source system. Give staff a channel for urgent errors and a separate place to suggest ordinary improvements.

Train the backup operator as well as the primary user. At the end, let each person demonstrate what they would do if the assistant stopped creating drafts. A team ready for launch can complete a good case, catch a plausible error and keep work moving through an outage. Revisit the examples when policies or system permissions change.

Put this into practice

Bring a sample of the work and the tools your team uses. We can help define a first project, who reviews it, and how to tell if it works.

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