Never miss a call — the full loop

Missing a call is
step one of a longer problem.

The after-hours call goes to voicemail. The burst-pipe emergency, the 8pm pump failure, the customer who calls three companies at once and books whoever answers first — that call goes to your competitor, not because your work is worse, but because nobody picked up.

The half-a-fix problem

An AI that only answers the phone is half a fix.

A standalone answering service

Answers the call. Then stops.

Someone still has to manually turn that call into a quote, a scheduled visit, a dispatched tech, and an invoice — the call and the job live in two different systems that don't talk to each other.

Maya, built into the platform

One connected loop — call, quote, schedule, dispatch, invoice, review — on the same platform, so the call that comes in is already sitting next to the pricebook, the calendar, and the dispatch board that turn it into a finished, paid job.

The full loop

From missed call to paid invoice, one platform

01

The call gets answered

Every call, every hour — Maya answers, qualifies the job, and captures what the customer needs in natural conversation. Shipped and live today, no rules to configure for the basics.

Live today
02

A quote gets drafted from your real pricebook

Maya pulls from your actual pricebook and labor rates — not a generic estimate. She drafts the quote and it lands with your team to confirm before it goes out, so nothing quotes itself wrong while you're not looking.

Platform capability live · AI drafting, human confirms
03

An onsite visit gets proposed

If the job needs eyes on it first, Maya proposes a visit window against your real calendar — not a guess, an actual open slot. Your team confirms it before it's locked in.

Platform capability live · AI proposes, human confirms
04

A tech gets dispatched

Once the job's confirmed, dispatch sees live GPS and the board — the job goes to whichever qualified tech is actually closest, not just next-in-line.

Live today
05

The job gets closed and paid

Invoice generates off the completed work order. Payment link goes out, autopay runs if it's set up — the same platform that dispatched the tech collects the money.

Live today
06

A review request goes out

Job closed, invoice paid — a review request goes out automatically while the experience is still fresh, instead of relying on someone remembering to ask.

Live today

Steps 2 and 3 are AI-drafted, human-confirmed by design — Maya proposes the quote and the visit window from your real data, your team signs off before anything is locked in. Every other step runs automatically once a job is confirmed.

Get started today

See the full loop on a live call.

No self-serve signup for Maya yet — the honest next step is watching it handle a real call against your real pricebook and calendar.

No credit card to book a call

FAQ

Never miss a call — common questions

Does Maya answer calls 24/7?+

Yes — Maya answers every call, day or night, and qualifies the job in natural conversation. This is live today, not a future capability.

Can Maya actually book the job on her own?+

Maya drafts quotes and proposes visit windows from your real pricebook and calendar — but a person on your team confirms both before anything is finalized. That's a deliberate design choice, not a limitation we're hiding: an AI that can silently commit your crew or your pricing without a human checking it is a bigger risk than a missed call. Maya proposes, your team approves.

How is this different from a standalone AI answering service?+

A standalone answering service can pick up the phone, but it isn't wired into your pricebook, your calendar, or your dispatch board — someone still has to manually turn that call into a scheduled, dispatched, invoiced job. Maya runs on the same platform that does all of that, so the call and the job are already connected instead of needing to be stitched together by hand.

What happens after the call — does the loop really run all the way to payment?+

Yes, for the parts of the loop that don't require a human decision: dispatch, invoicing, payment collection, and the review request are all fully automated once a job is confirmed. Quoting and scheduling involve an AI-drafted proposal that your team confirms first.

Is this only for one type of business?+

No — the loop (call → quote → schedule → dispatch → invoice → review) is the same core FSM and AI Receptionist capability across every vertical Servinix supports, not a vertical-specific feature.