Maya
Booking worker
What it did
Answered first contact, qualified the request, and wrote the booking into the shop’s record.

AI workforce for appliance repair shops
AI workers handle the office handoffs around every job — inside an operating system built in a real appliance repair shop.
How it works
The shop shouldn’t run from the owner’s head. Each worker takes one part of the job and leaves the next person a clean handoff.
First contact answered and scheduled.
Updates go out without anyone chasing.
The handoff that usually breaks, tracked.
The invoice follows the job, not the owner’s memory.
Inside the trade
Supportiyo is built around the people, machines, and handoffs that make a home-service shop real.
The operatorReal diagnosis starts with the appliance, the tools, and the person doing the work.
The teamThe shop works better when the next person inherits the context, not a mystery.
The workParts, readings, notes, and decisions are the record that keeps the job moving.
Named workers. Visible outcomes.
Each worker owns a role, records what happened, and hands the job forward. You can see the work without becoming the system that runs it.
Booking worker
What it did
Answered first contact, qualified the request, and wrote the booking into the shop’s record.
Schedule worker
What it did
Sent the confirmation, reminder, and on-the-way update without the office chasing.
Parts & returns worker
What it did
Tracked the part, kept the return visible, and flagged the job before the handoff went quiet.
Payment worker
What it did
Sent the invoice with the completed job and kept unpaid work from disappearing past 30 days.
Integrations
And many more
See it live
Pick a time. We’ll walk through the operating record live — booked, scheduled, parts and returns, then paid. No slides, no performance.