Map one inquiry from start to finish
Take a request you received recently and walk through what happened. Where did the message arrive? Who checked it? Where did someone record the details? When did the customer hear back? Include the work that happens outside your main system, such as a reminder someone sets on their phone.
Then decide which steps can follow a clear rule. A form can create a record, note when it arrived, and give the request to a team member. An email about a new order can go to sales if the customer selects that option. These steps can run without AI because the rules are clear.
Use AI when the wording varies
When people write in their own words, AI can help identify the likely topic or draft a short summary. Imagine a message that asks about a past invoice and a new order in the same paragraph. The system can suggest two topics and flag the message for staff to assign. Keep the original message linked to the summary so the person can check the details.
Start by letting the automation do the routine work and suggest a reply. A person can confirm prices, choose what to promise, and decide how to handle an upset customer. Give the person a clear way to correct a category or take the request out of the automated flow.
Test the handoff before going live
Run a handful of sample messages through the workflow. Include one with missing contact information, one that repeats a request, and one that could belong to two people. Give one person responsibility for checking the review queue and make sure someone else can cover it.
- Check that each request has one owner and one place to track it.
- Confirm that staff can see and correct the information AI suggests.
- Compare time spent processing requests before and after the pilot, including time spent fixing errors.
- Ask staff whether they spend less time hunting for updates and whether customers receive clearer replies.