Building AI Enquiry Systems That Help the Team Follow Up
A useful AI enquiry system collects the details a business needs and passes them to the person who can act on them. The chat is part of that job. So is the record that arrives with the team afterwards.
I'm Jackson Dong. Through AppliedAgents, I work on websites and AI integration for businesses, including businesses with million-dollar valuations. One of our website projects involved an assistant that gathered a visitor's needs and carried that context into a human follow-up.
That project is a starting point for the questions below, which are suggestions for planning similar systems rather than a description of additional features in that particular build.
Who gets the enquiry?
Imagine receiving a notification that says someone spoke to the website assistant. You open it and find their name, but you still have to search for the conversation to understand what they wanted.
Before building the chat, work out what the person following up needs to know, where they expect to find it and who will cover the enquiry if they're away.
For a service business, that might mean a description of the job, its location and the customer's preferred timing, while a software enquiry may need the current tools and the task causing trouble. Each question should earn its place in the conversation.
Leave unknown details open
If a customer hasn't given a timeframe, leave it open in the summary so the next person can ask, rather than preparing for a deadline the system has guessed.
Keep what the customer said separate from anything the system inferred. Where appropriate, make the original message available with the summary so the team can check the wording when it matters.
There's a straightforward way to check this before launch. Give sample handoffs to the person who will receive them and ask them to prepare a follow-up. The missing pieces become obvious quite quickly.
What happens if delivery fails?
An assistant can collect the right details while an email or integration fails to deliver them. The customer has seen a confirmation, but the team has nothing to follow up.
For a new build, decide where the enquiry is recorded and how a failed delivery becomes visible. Somebody needs to own the next step. Test a duplicate submission as well, so the same customer doesn't receive two follow-ups from different people.
Include those checks in the project scope because a lost enquiry affects the customer just as directly as an unhelpful response inside the chat.
Measure what the team receives
Conversation counts tell you how busy the assistant was. To judge the handoff, check how many enquiries reached the right person, whether they contained enough information and how much correction they needed.
You can also track how often customers have to repeat details. If the business wants to measure appointments or completed work, follow the enquiry through far enough to observe those outcomes.
Keep the time period and enquiry volume visible when comparing results. A busy week from a new advertising campaign doesn't establish that the assistant caused the growth. This article describes the approach, without claiming a measured revenue or time-saving result for the unnamed project.
Start with the existing process
Take the last few enquiries your team handled and trace where the information went. Include one that was awkward to deal with. That gives you something concrete to discuss before choosing an assistant, CRM integration or new website.
My guide to AI automation costs works through a numerical example. You can also read about my work or talk to AppliedAgents about your enquiry process.