24/7 AI receptionist
Answers at 2am, books the job straight onto the board, texts back every missed call. Growth plans and up.
Five stages. One system.
Most software pages are a feature list. This one is a route. Every Linq feature below is a stage of the same loop: capture the call, quote the job, dispatch the tech, charge the card, then re-loop the customer for the next one. Nothing here is an add-on and nothing is priced per seat: one flat price covers the lot (see pricing). Start where it hurts most. The rest connects when you get there.
14 days, no card · cancel any day
Capture, quote, dispatch, charge, re-loop.
Answers at 2am, books the job straight onto the board, texts back every missed call. Growth plans and up.
A drag-and-drop board that texts the customer their ETA the moment you drag. The whiteboard never did that.
Signed and deposited from the customer's phone, before the competitor calls back.
Tap-to-pay at the door, pay links for everyone else, and a running list of who still owes.
Every customer, every job, every photo and note: one record the whole shop can see.
The parts that keep it turning.
Who owes, what pays, how the month is running. Plain English, no spreadsheet night.
The job closes and the review request follows a day or two later, automatically.
Win-backs triggered by your own data: lapsed customers, unanswered quotes, expiring warranties.
Google and Meta ads with an AI copilot that has to earn autopilot.
A simple site with a booking form that lands jobs on the same board.
Booking texts, review requests, overdue reminders and missed-call text-back, all inside caps and quiet hours.
One link from the booking text: live ETA map, estimate approval, payment, messages. No app.
Where this page points next.
Turn it on before the next call.
One flat price from the first job, and the receptionist can start taking calls tonight (Growth plans and up).
Start free, or put one real week through it on the 14-day trial and judge it on Friday.