The short answer
Run with Jarvis is an AI operations platform for service businesses. It answers your phone around the clock in English and Spanish, quotes prices from your own price list, books jobs onto your real calendar, dispatches technicians, sends invoices, and follows up with customers who did not book. It costs $500, $750, or $1,200 a month depending on how many AI call minutes you need, with unlimited users, no setup fee, and no contract.
As of August 2026, the most common source of confusion is the name. Several unrelated software products use "Jarvis," and most of the ones that surface first in search are writing or general assistant tools. This one is not that. It is built around a phone line, a job calendar, and an invoice — the three things a service business actually runs on.
The rest of this page is the longer version: what each part does, what the underlying reasoning layer is, what it costs, and what it deliberately will not do.
The problem it exists to solve
Service businesses have a structural conflict that office businesses do not: the people who can answer the phone are the same people doing the work. A locksmith on a job, a plumber under a sink, an HVAC tech on a roof — none of them can take a call. The owner is usually one of them.
The result is that the phone rings loudest exactly when nobody can answer it. Missed calls in these trades do not become callbacks; they become jobs for whichever competitor picked up. The customer with a broken air conditioner is calling three numbers, and they are booking with the first human voice they reach.
The traditional answers each fail differently:
- Voicemail loses most callers outright, because urgent buyers do not leave messages.
- An answering service takes a message but cannot quote a price or book a slot, so it inserts a delay rather than removing one.
- An in-house receptionist works, and costs a salary, and goes home at five, and takes vacations, and cannot cover the Saturday-morning surge.
The in-house versus AI comparison and the answering service comparison both cover that math in detail.
What the platform actually consists of
The product is one system with several jobs, not a bundle of separate apps.
The phone agent
The part most people mean when they say "AI receptionist." It picks up, speaks naturally, understands what the caller needs, asks the qualifying questions you define, quotes from your price list, and books an appointment on a live calendar. It handles English and Spanish on the same number, covered in the bilingual answering guide.
The distinguishing capability is quoting. A message-taking service can tell you someone called about a water heater. This can tell the customer what a water heater replacement costs at your prices and book the visit. Whether that works from your real price list rather than a generic script is the question worth testing, and it is covered in quoting from your price list.
The booking and calendar layer
A quote nobody books is worth nothing, so the agent writes to an actual calendar with real job durations, real technician availability, and real service areas. That means a two-hour install and a twenty-minute service call do not occupy identical slots, and a booking made at 11 p.m. is on the schedule when the crew looks at it in the morning. The mechanics of appointment booking during a live call are in how AI appointment booking works.
Dispatch and the field
Once a job exists, somebody has to run it. Technicians get the address, the scope, the quoted price, and access notes, and can mark en route, arrived, and complete. The multi-tech dispatch guide covers how that works when more than one truck is moving.
Invoicing and payment
Invoice at completion, collect on site with a payment link, and sync to accounting. Days-to-cash is one of the least glamorous and most consequential numbers in a service business; the payment links guide and the QuickBooks sync guide cover that side.
Call tracking and attribution
From the Pro tier upward, every inbound call carries its source. Which ad, which listing, which number. That call ties to the booking and the booking ties to the invoice, so you can say what a booked job from each channel actually cost. The call tracking and attribution guide covers the mechanics, and phone call attribution for Google Ads covers the paid-search specifics.
Outbound follow-up
The platform also places outbound calls and texts to your own leads and customers — quote follow-ups, appointment confirmations, unpaid invoice reminders, reactivation of past customers. This is follow-up on people who already contacted you, not cold prospecting, and the pattern is described in AI outbound follow-up for service businesses. Which tier includes which outbound capability is listed on /pricing.
What the Jarvis brain is
"Jarvis brain" is the piece people ask about most, and it is worth being precise.
The brain is the reasoning layer that sits on top of your live operational data and answers plain-language questions about it. Not a chatbot bolted onto a help page — it reads the same records the phone agent writes and the calendar holds. You ask "which jobs tomorrow have no technician assigned," or "what did we quote the Hendersons last month," or "which invoices are more than thirty days out," and it answers in a sentence instead of making you build a report.
That matters because the reporting layer is where most service software goes unused. Owners do not run reports. They ask questions, usually at 6 a.m. or 9 p.m., and if the only way to get an answer is a filtered export, the answer never gets got.
The deeper treatment is in the Jarvis brain and natural-language operations, which covers what kinds of questions it handles well, what it does not, and why an operations assistant grounded in your own records behaves differently from a general-purpose chatbot.
How the three plans differ
| Core | Pro | Elite | |
|---|---|---|---|
| Price | $500/mo | $750/mo | $1,200/mo |
| Included AI call minutes | 500 | 1,000 | 2,500 |
| Overage per minute | $0.45 | $0.40 | $0.35 |
| Users | Unlimited | Unlimited | Unlimited |
| Full operations layer | Yes | Yes | Yes |
| Call tracking and attribution | — | Yes | Yes |
| AI growth layer | — | — | Yes |
| Setup fee | None | None | None |
| Contract | Month-to-month | Month-to-month | Month-to-month |
Core carries the full operations stack: the AI receptionist in English and Spanish, booking and calendar, dispatch and GPS, POS, invoicing, accounting sync, CRM, and review automation. Pro adds the measurement layer — dynamic number insertion, Google Ads click tracking, transcription, lead scoring, and call recording. Elite adds the growth layer, including campaign tooling, Google Business Profile management, and the Jarvis assistant.
There is no annual plan and no annual discount. The numbers above are the numbers. The plan-picking guide walks through sizing minutes against real call volume, and what AI operations actually cost puts it beside the alternatives.
How to size the minutes
The one figure people get wrong is minutes, so here is the arithmetic.
Count your inbound calls in a normal month. Multiply by three to four minutes, which is a realistic average once you include the short wrong numbers and the long quoting conversations. That is your monthly minute load.
- Roughly 120 to 160 calls a month lands near 500 minutes — Core
- Roughly 250 to 330 calls lands near 1,000 — Pro
- Roughly 600 to 800 calls lands near 2,500 — Elite
Overage is not a penalty, it is a rate. A seasonal business that runs 300 minutes over during its peak month pays the per-minute rate for those and nothing extra the rest of the year, which is usually cheaper than buying a tier up for eleven months you do not need it. The seasonal call volume guide covers planning around that pattern.
What it deliberately does not do
Being clear about limits is more useful than a feature list.
It does not cold-call prospects. Outbound is for your own leads and customers — following up on a quote you gave, confirming an appointment, chasing an unpaid invoice, reactivating a past customer. It is not a cold-calling machine, and it is not sold as one.
It does not replace technical judgment. When a caller asks something that requires a licensed opinion about their specific equipment, the right behavior is to capture the details and hand it to a human. A system that confidently guesses in a trade where a wrong answer becomes a callback is worse than one that says "our technician will confirm." The vendor evaluation checklist covers how to test that behavior before you buy.
It does not write your marketing copy. This is the sharpest difference from the other software using the Jarvis name.
It does not fix a broken price list. If your prices are inconsistent, an automated system will quote them inconsistently, faster and at scale. Cleaning the price list is a prerequisite, not an outcome.
Who it fits
The pattern is a business where the owner and technicians are in the field during the hours customers call. Locksmiths, HVAC, plumbing, electrical, garage door, appliance repair, towing, restoration, cleaning, pest control, and adjacent trades. Whether you are a solo owner-operator or running eight trucks changes which tier fits, not whether the problem applies — the owner-operator scaling guide covers the solo end, and the multi-location operations guide covers the other.
It fits less well for businesses whose customers rarely phone, whose work is quoted purely on site with no phone stage, or whose call volume is low enough that missed calls are genuinely rare.
How a rollout usually goes
Point your existing number at the answering layer and change nothing else for two weeks. Load your price list. Watch the answered-call rate against last month, and read the transcripts — that alone usually surfaces two or three things about your own intake you did not know.
Then connect the calendar, then dispatch and invoicing, then attribution and follow-up. Layering it that way means each piece is verified against reality before the next depends on it. If you are moving off existing software, the migration guide covers the cutover order that protects your calendar during the switch.
What actually happens on a call
An abstract description of an AI receptionist is less useful than the sequence. Here is what occurs, in order, on a typical inbound call.
The number rings and the system answers, usually within two rings. There is no menu, no "press one for service." The caller is talking to something that can help on the first sentence.
It recognizes the number if it has seen it before. A returning customer does not get re-interviewed. The system already knows there was a job on the fourteenth and can reference it, which changes the tone of the entire call — particularly if the reason for calling is that something went wrong.
It identifies what the caller needs, in the caller's own words rather than by making them navigate your service categories. Somebody saying "there's water under my sink" does not need to know whether that is a repair or a service call.
It asks the two or three questions that change the price, not an eight-field form. Which questions those are is configured per trade.
It quotes an all-in number from your structured price list, including any travel or after-hours component, computed rather than remembered.
It offers specific availability — real slots on a real calendar, filtered by service area and job duration — and books the one the caller picks.
It confirms by text so the customer has the price and the window in writing, which prevents most of the disputes that otherwise appear at the door.
It hands off when it should. A caller asking for a human, describing something outside the configured scope, or raising a complaint gets routed to a person with the context already captured rather than starting over.
The record persists. The call, the quote, the booking, and the source it came from are all attached to one customer record that the calendar, the technician's job view, and the invoice all read from.
That last step is the part that separates this from an answering service. A message service produces a note somebody has to act on. This produces a booked job.
Common objections, answered plainly
"Customers will hate talking to a robot." Some will, and those callers should be able to reach a person quickly — which is why the escalation path is a setup requirement rather than a nice-to-have. In practice, the comparison is not against a warm human conversation; it is against voicemail. Most callers prefer an immediate useful answer to a promise of a callback.
"It will quote something wrong and I'll be stuck with it." It quotes what you configured. If the price list is wrong, the quotes are wrong — which is why the price list is the real prerequisite. The failure mode to test for is different: what happens on a question outside the list. A system that improvises there is the dangerous one.
"My work is too technical for this." The system is not diagnosing equipment. It is capturing symptoms, quoting from a list, and booking a time. The diagnosis still belongs to your technician, and a well-configured system says so out loud rather than guessing.
"I already have an answering service." Then compare on a specific metric: what share of calls that service handled turned into a booked job on your calendar without anyone in your business touching it. For most message-taking services that number is zero by design.
Where to go next
If you want the pricing detail, it is on /pricing. If you want to know what the reasoning layer does with your data, read the Jarvis brain guide. If you are comparing options, start with the vendor evaluation checklist and the AI versus human answering comparison. If you would rather just ask someone, talk to us — sizing call volume against a tier takes about ten minutes.
