Most teams know what they pay people. Fewer know what those people cost per minute on the phone, fully loaded, after you multiply volume × duration. That is why voice automation conversations stall: one side quotes a platform rate, the other quotes salaries, and nobody is holding the same unit.
The free Voice AI Cost Estimator puts both sides on minutes. It takes the workload you already have — calls per month, average length, staff rate — and compares the annual cost of doing that work with people against the annual cost of a 20X voice agent on the same minutes.
This is a replace-or-augment planning view, not a price list. Read it that way.
What is the Voice AI Cost Estimator?
It is a free 20X calculator that estimates:
- what your current voice operation costs per year, based on minutes and fully loaded hourly staff cost
- what a 20X voice agent would cost per year on those same minutes
- the difference (savings or additional cost)
- capacity unlocked after you subtract the share of calls you still expect a human to take
- a qualitative note that an agent can cover after hours, versus business-hours-only staff
It is useful for support leads, clinic and campus switchboards, ecommerce order-status lines, and founders who are still answering the company number themselves.
It is not a staffing model for recruitment, not a quote from Setoo, and not a claim that every call type is automatable. The definition on the tool is clear: results are planning estimates; telephony is included in the AI per-minute estimate rather than hidden.
How does it work?
The engine prices minutes, then annualises them.
Current operation
- Monthly minutes = monthly call volume × average call duration
- Monthly staff cost = monthly minutes × (hourly staff cost ÷ 60)
- Annual current cost = monthly staff cost × 12
20X voice agent
- Monthly AI cost = monthly minutes × AI cost per minute
- Annual AI cost = monthly AI cost × 12
AI cost per minute is not a number you type. The page fetches /api/v1/pricing/public/catalog and uses defaultAiCostPerMinute when the catalog responds. If that request fails, it falls back to 2.5 per minute so the comparison still runs. Either way, you are looking at an estimated platform-plus-telephony rate, not a handmade guess you have to invent.
Impact
- Cost delta = annual current cost − annual AI cost (shown as savings if positive, additional cost if negative)
- Escalated calls = monthly volume × human escalation %
- Capacity unlocked (monthly hours) = (monthly calls − escalated calls) × average duration, in hours
Staff headcount is collected and shown in the “Current operation” narrative. It does not multiply the cost formula. Two people or twenty, the labour cost in this model is minutes × rate. Headcount is context for the comparison card, not a second salary engine. That is easy to miss if you assume “five agents × ₹300/hr × 160 hours.” The calculator is not doing that.
How to use the Voice AI Cost Estimator
Open the Voice AI Cost Estimator. Sliders update the comparison live. Reset restores the defaults for the selected currency.
1. Pick INR or USD
INR defaults assume Indian fully loaded rates. USD defaults use a different hourly band. Pick the unit you report in.
2. Monthly call volume
Range: 50 to 10,000, step 50. Default: 800 calls/month. Count handled conversations you are trying to cost — inbound plus the outbound you actually staff — not theoretical peak capacity.
3. Average call duration
Range: 1 to 20 minutes, step 0.5. Default: 4 minutes. The slider hint is specific: include hold time and wrap-up in how you think about staff effort, but remember the AI side is estimated on talk-time minutes. If your wrap-up is long, say so in the meeting; do not silently inflate duration to smuggle it in unless you want both sides priced on that inflated minute count.
4. Staff headcount handling calls
Range: 1 to 50. Default: 5. Shown on the current-operation card. Does not change the rupee math.
5. Hourly staff cost (fully loaded)
INR range ₹100–₹1,000/hr (default ₹300). USD range $8–$80/hr (default $18). Fully loaded means salary plus the benefits and overhead you actually carry. A blended rate for the people who take these calls is better than the cheapest junior on the roster.
6. Expected human escalation rate
Range: 5% to 60%, step 5. Default: 20%. This is the share of calls you still expect a person to finish. It drives capacity unlocked, not the AI minute price. High-judgement lines should sit higher. Straight FAQ and order-status lines can sit lower — still as a plan, not a promise.
7. Read the comparison, then optionally request a PDF
You get a current-versus-AI narrative (volume, minutes, staff count, annual costs, escalation, after-hours coverage) and a cost delta. Request a PDF if you need to walk it into a budget review. No account is required to see the numbers.
Key features
Same-minute comparison. Both sides use monthly volume × duration. You are not comparing a salary to a marketing slide.
Live 20X rate when the catalog loads. You do not have to scrape a pricing page. The fallback exists so the tool still works offline or if the catalog is down.
Escalation as a first-class input. The model does not pretend every call disappears. Capacity unlocked is the non-escalated remainder.
After-hours called out as coverage, not as a second cost engine. The narrative says 24/7 with an AI agent versus business hours only. It does not invent an overtime multiplier.
Optional PDF. Same pattern as the other calculate tools.
Use cases
Support leaders defending a voice budget. You know the team is expensive. Finance wants a unit cost. This is that unit cost, next to an AI alternative on the same minutes.
Clinics and campuses with a ringing front desk. Volume is spiky, language mix is Hindi and English, after-hours is voicemail. The estimator will not design the agent. It will tell you whether the minutes are large enough to bother.
Ecommerce order-status lines. High repeat questions, measurable duration. Pair with the customer support solution if the delta is large.
Founders answering the company number. Headcount = 1. The cost is still minutes × your fully loaded rate — including the work you are not doing while you are on the phone.
Example walkthrough
INR defaults, with the 2.5 per minute fallback (your live catalog rate may differ).
- 800 calls × 4 minutes = 3,200 minutes/month
- Staff rate ₹300/hr = ₹5/minute
- Current monthly cost = 3,200 × ₹5 = ₹16,000 → ₹1,92,000/year
- AI monthly cost = 3,200 × 2.5 = ₹8,000 → ₹96,000/year
- Annual cost difference (savings in this run) = ₹96,000
- Escalation 20% → 640 calls handled without a human × 4 minutes ≈ 42.7 hours/month unlocked
If the catalog returns a different per-minute rate, only the AI side moves. If your real volume is 3,000 calls, move the slider; do not multiply the default by hand and present it as the tool’s output.
If the delta goes the other way — AI more expensive than staff on these minutes — the panel labels it as additional annual cost. That is a valid outcome. Cheap labour plus short calls can lose this comparison. The tool is allowed to say no.
Tips for better results
Use talk-time you can defend. Pull average handle time from the PBX or CPaaS, not a round number that “feels right.”
Do not multiply headcount into the hourly rate. The formula already prices minutes. Inflating the rate because “we have five people” double-counts.
Set escalation for the call type you would actually automate first. Blending legal complaints with “where is my order?” into one 20% is how estimates die in the first design review.
Re-run when the catalog rate loads. If the number jumped after a second, the live rate arrived. Use that screenshot, not the fallback.
Compare one call type at a time. A mixed queue needs mixed runs.
Common mistakes
Reading “cheaper” as “replace the team Monday.” Escalation, QA, and language still need a design. The customer support solution is the next practical step — not a headcount cut.
Ignoring telephony because the staff side did not show it. The AI per-minute estimate is described as platform plus telephony. The staff side is labour on minutes, not PRI bills. If your current telephony is huge, say so — this tool is not a full telco bill compare.
Using take-home salary as fully loaded cost. The slider asks for fully loaded. Understating it makes AI look worse than your books.
Treating 24/7 coverage as a cash line. It is a coverage statement. If you currently pay overtime, that overtime is not auto-added to the current-cost formula. Mention it qualitatively.
Who should use this tool?
Use it if you own a phone queue: support, reception, appointment confirmation, order status. Skip it if you have almost no voice volume — then labour ROI on tickets or speed-to-lead on forms will tell you more.
Run the free Voice AI Cost Estimator — no account. If the delta is large enough to design around, start free or book a strategy call.
Frequently asked
Questions, answered.
- It compares the annual labour cost of your current voice minutes — volume × duration × staff rate — to the annual cost of a 20X voice agent on those same minutes, using live platform pricing when the catalog loads, and shows capacity unlocked after expected human escalation.
Written by
20X team
Editorial · Setoo
20X is built by operators, engineers, and consultants at Setoo. We write about the operational work AI agents should complete — not the slogans around them.