AI agents for sales teams in cleaning services

A quote request lands from the website form, a Facebook lead, and a missed-call entry at once, and whoever is free types the same reply three ways, so the first company to answer, who usually books the job, is often not yours.

→An agent reads every new request as it arrives within about a minute, sorts it by job type and postcode, and drafts a reply with a price range and a booking link, queued for your approval so every lead gets a fast, consistent answer.

Pricing a job from walkthrough notes means turning scribbled bedrooms, square footage, and the oven the client mentioned into hours and a tidy quote, and the extras that get forgotten come out of your margin.

→An agent applies your rate card to the notes, adds each extra the client asked about in the thread, and drafts the quote in Jobber or Housecall Pro for your sign-off, so the price matches how you actually charge.

Quotes go quiet because the follow-up always loses to a busy cleaning week, and nobody notices the warm lead who needed one nudge until they have booked a competitor.

→An agent watches every sent quote, drafts a follow-up when one has been silent for a few days, and keeps the CRM stage current, so each lead gets a polite nudge for you to approve.

Commercial bids and renewals run on memory: an invitation arrives with a deadline, insurance papers get hunted down, and a contract end date sneaks past without a rate review.

→An agent logs each invitation's deadline and requirements, assembles the bid pack from your files, and lists contracts ending soon with a drafted renewal, so the owner decides price instead of searching folders.