AI agents for customer support teams in home services

A single customer can write to the Gmail address, the Google Business Profile, Messenger and a text thread about the same boiler, so someone spends the first half hour of every morning hunting through four places to see who is still waiting.

→An agent gathers every written message into one sorted list, matches each to its job in the field service app, and flags the urgent ones for the dispatcher, so the team starts the day from a single queue.

Every where-is-my-technician message and reschedule request means opening the board, checking a calendar and asking dispatch, which is why a simple question about a Thursday window can take most of an hour to answer.

→An agent reads the board and the technician's calendar, drafts a reply with a realistic arrival window or two reschedule options, and asks dispatch to confirm, leaving the team only to approve the reply.

An unhappy customer gets three different answers because each person who replies is missing the technician's notes, the photos and what the owner already promised on the phone, and the complaint ages in a spreadsheet.

→An agent briefs the owner on one page with the job history, photos and promises made, drafts a reply that fits the facts, and lists any goodwill options for the owner to choose, so the customer hears one consistent answer.

Warranty questions and what-is-this-charge messages each need a lookup across the install record, the terms and the invoice, so the reply is either slow or a guess that has to be corrected the next day.

→An agent checks the install date, serial, terms and invoice lines first, and drafts a reply that states exactly what is covered or what each line is for, ready for a person to review and send.