The only ROI question that matters
Every pitch for an AI receptionist eventually waves at the same claim: "missed calls are costing you thousands." Maybe. But you shouldn't buy software on a vibe, and you don't need to — the return on an AI receptionist is one of the few software ROI cases you can compute with arithmetic you can check yourself.
As of July 2026, the inputs are public. Run with Jarvis publishes its plan prices, included minutes, and overage rates on its pricing page. Your side of the equation — average ticket, call volume, close rate — lives in your own books. This guide puts the two together, conservatively: no invented industry statistics, no "studies show" hand-waving. Just the plan numbers, your numbers, and division.
If you're still working out what an AI receptionist actually is — and how it differs from a chatbot or answering service — start with the definitional companion: what is an AI employee for service businesses? This article assumes you know the what and asks only: is it worth the money?
The cost side: what the plans actually cost
Here is the complete cost picture, with nothing hidden. Four tiers, as of July 2026:
- Core Automation — $329/month ($274/month billed annually). 400 AI call minutes. Includes KeyBot 24/7 AI answering, GetTimePad booking, bilingual EN/ES, SMS notifications, appointment scheduling, intake forms, basic reporting. Overage: $0.59/minute.
- Business System — $499/month ($416/month annually). 900 minutes. Adds IntelliDrive CRM + POS, invoicing and payment links, inventory management, technician dispatch, QuickBooks/Square sync. Overage: $0.49/minute.
- Growth Intelligence — $699/month ($583/month annually). 1,800 minutes. Adds CallFlux call tracking, ad source attribution, conversion analytics, call recording and transcription, campaign ROI dashboards. Overage: $0.49/minute.
- Jarvis OS — $999/month ($833/month annually). 2,500 minutes. Adds the Jarvis AI Brain: natural-language commands, autonomous workflow engine, revenue optimization, proactive recommendations, priority onboarding. Overage: $0.49/minute.
Annual billing lowers every tier to a flat annual rate — $274, $416, $583, and $833 per month, roughly two months free (about 17%). There are no per-call fees, no setup fees listed, and overage is a published flat rate — the pricing model is deliberately boring, which is what you want when you're computing ROI.
Two structural notes before the math. First, the tiers aren't just "more minutes" — each one adds a system (CRM, then call tracking, then the AI Brain), so part of what you're buying at higher tiers is consolidation of tools you may already pay for separately. That consolidation math is its own article: all-in-one vs. point solutions. Second, this analysis focuses on the receptionist function itself, which every tier includes from $329.
Capacity math: what do the minutes actually buy?
Plans are denominated in AI call minutes, so convert them into calls. Use your own average call length; we'll compute at 4, 5, and 6 minutes since service intake calls — greeting, qualification, quote, booking, confirmation — commonly land in that band. (Time your own last ten calls; it's the single most useful data point you can gather for this analysis.)
At a 5-minute average call:
- Core Automation (400 min): ~80 answered calls/month — about 2.6 calls a day, every day including weekends and 3 a.m.
- Business System (900 min): ~180 calls/month — about 6 a day.
- Growth Intelligence (1,800 min): ~360 calls/month — about 12 a day.
- Jarvis OS (2,500 min): ~500 calls/month — about 16 a day.
At a 4-minute average, add 25% to each figure (Core handles ~100 calls); at 6 minutes, subtract about 17% (Core handles ~66). Short wrong-number and robocall interactions consume far less than the average, so real-world call counts often run higher than the naive division suggests.
Now the cost per unit. At full utilization of included minutes:
- Core Automation: $329 ÷ 400 = $0.82/minute, or ~$4.11 per 5-minute call.
- Business System: $499 ÷ 900 = $0.55/minute, or ~$2.77 per call.
- Growth Intelligence: $699 ÷ 1,800 = $0.39/minute, or ~$1.94 per call.
- Jarvis OS: $999 ÷ 2,500 = $0.40/minute, or ~$2.00 per call.
(Notice Growth Intelligence is actually the lowest cost per minute in the lineup — Jarvis OS is priced for its AI Brain capabilities, not for minute volume.)
Hold onto that per-call figure: roughly $2 to $4 to have a call professionally answered, qualified, quoted, and booked. Whatever you pay per click or per lead to generate that call, answering it is now the cheapest link in the chain.
One more capacity nuance: you don't need to size the plan for your busiest possible month, because overage exists precisely for spikes. Size for your typical month and let the occasional surge run at $0.49–$0.59 per extra minute. A single busy week that pushes Core Automation 50 minutes over costs about $30 in overage — far cheaper than paying for a higher tier year-round to cover a peak that happens twice a year. The reverse also holds: chronic overage means you've outgrown the tier, and the next one up almost always costs less than the overage it replaces while adding an entire system.
The revenue side: what an answered call is worth
Here you supply the numbers. Three of them:
- M — missed bookable calls per month. Not total missed calls; missed calls from real customers with real jobs. Check your voicemail count, your after-hours call log, your ad platform's call reports. Be conservative: if you're unsure, count only the after-hours ones.
- T — average ticket. Revenue per completed job. You know this one.
- C — close rate on answered calls. Of bookable calls that get answered and quoted, how many book? Use your human close rate; assume the AI matches it rather than beats it (conservative again).
Recovered monthly revenue = M × C × T.
Worked example, deliberately modest: you miss 10 bookable calls a month (2–3 a week — for any business running after-hours demand, that's low). Average ticket $250. Close rate 50%.
10 × 0.5 × $250 = $1,250/month in recoverable revenue.
Against the $329 Core Automation plan, that's a 3.8x monthly return. Against the $999 Jarvis OS plan, still 1.25x — and that's before counting anything the higher tiers add beyond answering. Run it with your own inputs before reading on; the rest of the article is just this equation viewed from different angles.
One honest caveat: the AI recovers calls that go unanswered because nobody was available — nights, weekends, mid-job, overflow. It can't recover calls that never happened. If you genuinely answer every call today, your ROI case rests on the other legs (consolidation, attribution, follow-up), not on recovery.
Break-even: how many saved jobs pay the bill?
The cleanest way to frame the decision. Divide plan price by average ticket — that's the number of recovered jobs per month where the plan is free.
| Plan (monthly price) | Break-even @ $150 ticket | @ $250 ticket | @ $400 ticket | @ $500 ticket |
|---|---|---|---|---|
| Core Automation ($329) | 2.2 jobs | 1.3 jobs | 0.8 jobs | 0.7 jobs |
| Business System ($499) | 3.3 jobs | 2.0 jobs | 1.2 jobs | 1.0 jobs |
| Growth Intelligence ($699) | 4.7 jobs | 2.8 jobs | 1.7 jobs | 1.4 jobs |
| Jarvis OS ($999) | 6.7 jobs | 4.0 jobs | 2.5 jobs | 2.0 jobs |
Read the table against your own reality. A locksmith with a $250 average ticket needs to save 1.3 jobs a month — one lockout call at 11 p.m. that books instead of hitting voicemail, most months — for Core Automation to pay for itself. An HVAC or automotive-specialty business at a $400–$500 ticket breaks even on the entry plan at less than one job per month.
On annual billing, every number in that table shrinks to the annual rate: Core Automation at $274/month breaks even at about 1.1 jobs on a $250 ticket.
Two things the table deliberately understates. After-hours calls in emergency trades convert better than average — the caller has an urgent problem and is calling until someone answers, a dynamic we break down in the after-hours playbook. And a recovered customer is often worth more than one ticket — repeat business and referrals compound — but we're keeping the math to what you can verify this month.
The human-receptionist comparison, done fairly
The lazy version of this comparison says "AI $329, human $3,000+, AI wins." The fair version is about coverage per dollar, and it's still lopsided.
A full-time human receptionist covers about 40 of the week's 168 hours — roughly 24% — answers one call at a time, and comes with wages, payroll taxes, and benefits. Current wage data for receptionists in your market is published by the U.S. Bureau of Labor Statistics (bls.gov); whatever your local figure, a full-time salary anywhere in the U.S. exceeds even the $999 top-tier plan, and typically the annual cost of all four tiers combined.
The AI covers 168 of 168 hours, holds simultaneous conversations with no hold queue, works in English and Spanish, and never takes PTO. Per covered hour, Core Automation works out to $329 ÷ 730 hours ≈ $0.45/hour of availability.
But the fair conclusion is not "fire your office staff." It's that the two aren't substitutes. If you have a great office manager, the AI takes the 2 a.m. calls, the overflow when both lines ring, the Saturday calls — the shifts you were never going to staff anyway. The realistic alternative to an AI receptionist at most service businesses isn't a human employee; it's voicemail, and voicemail's close rate is the number you're competing against.
Payback timeline: weeks, not quarters
Because there's no capital expenditure, "payback period" here is almost embarrassingly short to compute:
- Day 0: you pay the first month ($329 on Core Automation).
- Week 1: the AI is live on your line, answering nights and overflow. (Setup is configuration — your pricing, hours, service area — not construction.)
- Break-even: the day recovered bookings cross your plan price. Per the table above, that's 1–2 jobs for most ticket sizes — for a business missing 2+ bookable calls a week, typically inside the first month.
- Month 2 onward: everything recovered is margin against a known, flat cost.
Compare the shape of that curve with hiring: recruiting time, training weeks at full wage before full productivity, and ongoing management. Or with the do-nothing option, where the cost isn't zero — it's M × C × T every month, silently.
Annual billing changes the shape slightly but favorably. Paying yearly means fronting more cash — twelve months of Core Automation at $274 is $3,288 — but the lower annual rate (about 17% off — roughly two months free) permanently lowers the break-even job count. A sensible sequence: run the first two or three months on monthly billing as a live trial, verify the recovered-booking count against the table above, then switch to annual once the math has proven itself on your own line.
The discipline that makes the payback claim real is measurement: you need to know which booked jobs came through the AI. That's exactly what the attribution tier is for — call tracking and attribution closes the loop from ad to call to booked job to revenue, so your ROI figure is a report, not an estimate.
Beyond recovered calls: the second-order returns
Recovered missed calls are the headline because they're the easiest to verify. But three quieter effects show up in the math over time, each tied to specific plan capabilities:
Faster collection. Business System and above generate invoices and payment links and send automated reminders on outstanding balances. Revenue you collect two days sooner isn't new revenue, but it is real cash-flow value — and chasing paperwork is unpaid admin time you get back. The dispatch-and-collections side of the platform is covered in CRM and dispatch for multi-tech businesses.
Smarter ad spend. Growth Intelligence's CallFlux layer ties every call to its source. The ROI here isn't "spend more" — it's reallocating the same budget away from sources that ring but don't book. If attribution moves even a modest slice of your ad budget from your worst source to your best, that's found money at zero incremental cost.
Follow-up that actually happens. Quotes that don't book same-day historically die because nobody calls them back. Automated outbound follow-up turns a percentage of those "let me think about it" calls into bookings — at the margin, each one is another full ticket against a cost you're already paying.
None of these are needed to justify the purchase — the break-even table does that alone — but they're why the effective ROI tends to widen after the first quarter rather than plateau.
How to run the math on your own business (10 minutes)
Do this before any demo, so you walk in knowing your own numbers:
- Count your misses. Pull one month of voicemails, after-hours calls, and (if you advertise) call reports from your ad platforms. Count only plausibly bookable calls. This is M.
- Pull your average ticket from your last 90 days of completed jobs. This is T.
- Estimate your close rate on answered, quoted calls. When unsure, use 40–50%. This is C.
- Compute recoverable revenue: M × C × T.
- Pick the plan tier whose minute capacity covers your total monthly call volume (calls × your average call length — time ten real calls). Most single-crew businesses start at Core Automation ($329); multi-tech shops that want dispatch start at Business System ($499). Full tier details are on the pricing page.
- Divide. Recoverable revenue ÷ plan price = your monthly ROI multiple. Anything above 1.0 means the receptionist function alone pays the bill and every other feature rides free.
If your multiple comes out below 1.0, you have your answer too — revisit when call volume grows. Honest math cuts both ways.
If it comes out above 1.0 — and at typical service-business ticket sizes, missing even two calls a month puts it there — the next step is seeing the system against your actual call flow. Book a demo and bring the numbers from steps 1–3; a good walkthrough should be able to map them to a specific configuration, not a generic pitch. Trade-specific example: the locksmith automation stack shows this exact math applied to one vertical end to end.
Common ROI mistakes to avoid
- Counting all missed calls as lost jobs. Robocalls and wrong numbers aren't revenue. Count bookable calls only — the math survives the haircut.
- Comparing against zero instead of voicemail. The status quo has a cost: M × C × T, every month. "Do nothing" is the most expensive plan on the menu for a business missing calls.
- Ignoring the minutes at the tier boundary. If you consistently burn past your included minutes, overage at $0.49–$0.59/minute is fine occasionally, but two straight months of heavy overage usually means the next tier is cheaper and adds a system. Do the comparison each quarter.
- Skipping annual billing without doing the math. The annual rate means Core Automation at $274 versus $329 — $660 saved a year, roughly two months free — if you're confident after your first quarter, the discount is the easiest ROI line item in this whole article.
- Not measuring. Decide on day one how you'll count AI-booked jobs. Recordings, transcripts, and booking logs exist on every plan; the businesses that report the strongest returns are simply the ones that look.
The bottom line
Strip away the hype and the ROI case is three numbers and a division sign. The plans cost $329 to $999 a month — $274 to $833 on annual billing. A five-minute answered, quoted, booked call costs roughly $2 to $4. And at typical service-business ticket sizes, recovering one to two missed jobs a month covers the entire bill, with after-hours coverage alone usually clearing that bar. You don't need an industry statistic to justify it — you need your own voicemail count and a calculator.
Related reading
- What is an AI employee for service businesses?
- What AI operations actually cost in 2026
- The after-hours calls playbook for service businesses
- Call tracking and attribution: the service business guide
- How AI appointment booking actually works
Run your numbers, then check them against pricing — or book a demo and have them mapped to your call flow live.



