Cost is the easy part of this decision, and most pages get it wrong by making it sound close. It is not close. Today Dvaarik is self-serve with no setup fee and no required plan — usage is prepaid credits, voice from ₹2/min with whole-minute billing. Working: ₹1,500 + (3 × ₹2 × calls) = ₹23,000 gives calls ≈ 3,583. Below that, we cost less. There is no volume in the range a small Indian business actually runs where the human is the cheaper option. Which means price is not the reason to keep or hire a person. The reason is the work — angry callers, exceptions, negotiation, and the half of a receptionist's job that has nothing to do with the phone. That section is further down and it is the one most readers should act on. What follows is the arithmetic: what a telecaller actually costs once you count employer PF and ESI, what a small BPO seat is publicly priced at, what we charge with nothing held back, and where we lose. Every external number on this page is attributed to a source page checked on 20 Jul 2026, with that source's caveats stated in line. Where a number could not be verified, I say so rather than fill the gap.
The three options, side by side
Indian SMBs almost never choose between "AI and nothing". The real shortlist is: hire a telecaller, hand inbound to a small BPO, or run an AI agent. Here is how the three differ on the things that actually change the decision.
| Decision area | Telecaller you hire | Small BPO / outsourced seat | AI agent (Dvaarik) |
|---|---|---|---|
| Cost shape | Fixed monthly salary + statutory on-costs | Fixed per-seat monthly or hourly, often with a minimum | Usage-based: ₹2/min voice, ₹2/conversation chat |
| Hours covered | Roughly one shift, six days | Whatever you buy and pay shift loading for | 24/7, no night or Sunday premium |
| Limited by shift or desk | Yes | Yes, per seat you buy | No |
| Ramp time | Hire, train, ramp | Contract, brief, ramp | Days, once your flows are mapped |
| Languages | Whatever that person speaks | Whatever that team speaks | 22 scheduled Indian languages plus code-mixed Hinglish, Tenglish and Tanglish |
| Handles an angry customer | Yes, genuinely well | Yes, variably | No — takes the details and flags the call for you |
| Makes judgement calls and exceptions | Yes | Sometimes, within your script | No |
| Attrition risk | Real, and yours | Real, and theirs to absorb | None |
| Non-phone duties (walk-ins, the room) | Yes | No | No |
The comparison above states the published row-by-row differences; read each row with its source, date, and qualifying notes.
Read that table honestly and two things fall out. The AI column wins on cost shape, hours and consistency. The human columns win on judgement, emotion and everything that is not a phone call. That is not a rhetorical concession before a sales pitch — it is the actual result, and it is why the section on hybrid operating models further down matters more than the price tables.
If you want the narrower comparison against a phone menu rather than a person, that is a different question and lives at AI voice agent vs IVR. And if the BPO column is not part of your decision at all, the shorter two-way version is at AI vs human receptionist cost in India.
What one telecaller actually costs you per month
Start with the salary, from a source that publishes its sample size and its date.
Jooble India — Telecaller salary (verified on in.jooble.org, checked 20 Jul 2026) gives an average of ₹21,007 per month, or ₹2,52,085 per year, with a range from ₹2,06,052 to ₹3,09,884 per year. It also shows ₹4,848 per week and ₹117.19 per hour. That figure is based on 4,481 reported salaries and 1,978 active job postings, and the page states its data is as of 15 Jul 2026. That combination — sample size plus a date — is why I am using it as the headline number rather than any of the higher or lower figures floating around search results.
Two corroborating sources, both with caveats I will not hide:
- Indeed India (verified on in.indeed.com, checked 20 Jul 2026) shows ₹19,958/month for "Caller", ₹16,303/month for "Telemarketer" and ₹12,433/month for "Customer Service Representative". The sample sizes are 14, 2 and 2 salaries respectively, estimated from 46 job postings, and the page shows no date. Directionally consistent with Jooble; far too thin to headline.
- Telemploy's Telecaller Salary Guide India 2026 (verified on telemploy.com, checked 20 Jul 2026) is a recruiter-platform estimate — it carries no publication date and cites only "listings on Telemploy.com and feedback from recruiters", with no methodology. Treat it as a recruiter's read of the market, not authority. Today Dvaarik is self-serve with no setup fee and no required plan — usage is prepaid credits, voice from ₹2/min with whole-minute billing.
The layer almost every comparison page omits
Salary is not cost-to-employ. Two statutory contributions sit on top, and neither appears on the comparison pages I read.
ESI. Employer contributes 3.25% of gross wages, employee 0.75%, total 4%. Coverage is mandatory for employees drawing monthly wages up to ₹21,000, or ₹25,000 for employees with disabilities. Rates have been effective since 1 Jul 2019 and are unchanged. Verified on cleartax.in and independently corroborated on tallysolutions.com, both checked 20 Jul 2026. Note the sharp edge here: Jooble's average of ₹21,007 sits ₹7 above the ₹21,000 coverage ceiling. A telecaller paid at exactly the national average may fall outside ESI; one paid ₹20,500 does not. Check your own payroll rather than assuming.
EPF. Employer contributes 12% of basic salary plus DA, split 8.33% to EPS and 3.67% to EPF, with the EPS portion calculated on a maximum wage of ₹15,000/month regardless of actual basic plus DA. Employee contributes 12%. There are additionally EDLI and administrative charges of 0.5% each. Verified on prashasthicorporate.com (published 17 Jun 2026), checked 20 Jul 2026. A limitation I will state rather than paper over: the EPFO's own contribution-rate PDF could not be fetched — the connection failed twice — so this rests on a secondary source that is internally inconsistent about whether EDLI and admin charges sit inside or on top of the 12%. So: take the employer contribution as 12% of basic plus DA, and treat total employer outgo as *roughly* 13% at most. Do not let anyone quote you a precise on-cost percentage sourced from a blog, including this one.
Putting it together
Assuming basic plus DA is set at 50% of gross — a common but not universal structure, so check yours:
| Line | Monthly | Basis |
|---|---|---|
| Gross salary | ₹21,007 | Jooble average, data as of 15 Jul 2026 |
| Employer EPF, 12% of ₹10,503 basic+DA | ≈ ₹1,260 | 12% of basic+DA, EPS capped at ₹15,000 wage |
| Employer ESI, 3.25% — only if the wage is under the ₹21,000 ceiling | ≈ ₹683 | does not apply at ₹21,007 gross |
| Cost to employ, above the ESI ceiling | ≈ ₹22,270 | salary + EPF only |
| Cost to employ, below the ESI ceiling | ≈ ₹22,950 | salary + EPF + ESI |
The comparison above states the published row-by-row differences; read each row with its source, date, and qualifying notes.
So a telecaller near the national average costs you roughly ₹22,300–₹23,000 a month all-in, not ₹21,000 — and which end of that you land on depends on whether the wage clears the ESI ceiling. Either way it is before recruitment, before the desk, phone and connection, and before the cost of the seat being empty. The rest of this page uses ₹23,000 as the working figure, which is the conservative end for us.
The line nobody puts in the spreadsheet: replacement cost
Telecalling churns. That is not a slight on the people doing it; it is the structure of the job.
AVOXI (verified on avoxi.com, checked 20 Jul 2026), citing research it attributes to the Global Call Centre Research Network, reports call-centre attrition by ownership model: in-house 28%, subcontractor 38%. For comparison the same research gives USA in-house 26% and USA subcontractor 36%, small call centres 17% versus large 44%, and entry-level agents 27% versus senior agents 12%. It also states that replacing one agent costs about 16% of their gross annual earnings. The page gives no year for the underlying research, so read it as "research cited by AVOXI", not as current-year Indian data.
1840 & Company (verified on 1840andco.com, page last modified 9 Jun 2026, checked 20 Jul 2026) gives India-specific attrition of 35–45% annually nationally, with Bangalore at 40–50%, Hyderabad 35–42%, Pune 30–38% and Mumbai 38–46%.
Apply the AVOXI replacement-cost rule to the Jooble salary and you get a number worth carrying in your model:
- Gross annual earnings: ₹2,52,085
- Replacement cost at 16%: ≈ ₹40,334 per exit
- At 28% in-house attrition, expected annual churn cost: 0.28 × ₹40,334 ≈ ₹11,293/year, or roughly ₹940/month
- At 38% subcontractor attrition: ≈ ₹15,327/year, or roughly ₹1,280/month
That pushes realistic cost-to-employ for one in-house telecaller to around ₹23,000–₹24,000 a month, and it does not attempt to price the harder cost — the weeks where the seat is empty, or filled by someone still learning your business. There is no honest number for that, so I am not inventing one.
Outsourcing to a small BPO: what it actually buys
The middle path most Indian SMBs assume is cheap. The published rates say otherwise.
1840 & Company (verified on 1840andco.com, last modified 9 Jun 2026, checked 20 Jul 2026) publishes India outsourcing rates as:
| Service | Published rate |
|---|---|
| Voice support | $6–$14 per hour |
| Outbound voice (sales / lead gen) | $8–$15 per hour |
| Non-voice (email, chat) | $4–$8 per hour |
| Technical support, tier 1–2 | $10–$18 per hour |
| Dedicated agent, per seat | $1,200–$2,400 per month, all-inclusive |
The comparison above states the published row-by-row differences; read each row with its source, date, and qualifying notes.
I am leaving those in dollars deliberately. No exchange rate was verified on 20 Jul 2026, and quietly converting at a guessed rate would be exactly the kind of soft number this page exists to avoid. Convert at your own bank's rate and the per-seat figure will land well above a locally hired telecaller.
Three structural points about the BPO route that matter more than the rate card:
- They sell seats, not outcomes. A dedicated seat is a person's time. If your call volume is spiky — a burst at 10am and again at 7pm, dead in between — you pay for the flat hours regardless.
- There is usually a floor. Most outsourcers do not take on a business that needs three hours a day. The per-seat model is the floor, and it is a full seat.
- They absorb mess, and that is a genuine advantage. This is the thing a BPO does that neither a fresh hire nor an AI does well: they will take on undocumented, judgement-heavy work starting next week without you first mapping the process. If you need bodies on unpredictable work tomorrow and cannot spare the time to define what "handled" means, a BPO seat is a real answer and I will say so plainly.
What you give up is control of quality and, per the attrition data above, subcontractor churn runs higher than in-house — 38% versus 28% in the research AVOXI cites. The person who learned your business in March may not be on your account in July.
What an AI agent costs at Dvaarik, in full
Dvaarik is self-serve SaaS today: there is no setup fee and no minimum commitment. You log in, add your services, staff, hours and knowledge, connect channels, and pay only for what your agents actually do.
| What | Price | Notes |
|---|---|---|
| AI voice calls | from ₹2/min | Simple per-minute billing on whole minutes; higher grades up to ₹5/min |
| AI chat | ₹2 per conversation | 24-hour window |
| Phone number + 1 concurrent line | ₹1,500 per 30 days | Includes up to 3 numbers; debited from credits |
| Social Plan — WhatsApp + Instagram agents + campaigns | ₹1,500 per 30 days | Only if you use those channels |
| WhatsApp message charges | ₹0 markup | Meta bills your own WhatsApp Business account directly |
The comparison above states the published row-by-row differences; read each row with its source, date, and qualifying notes.
Credits are prepaid and never expire; at zero balance agents pause gracefully, so there are no surprise bills. Agencies and developers can sell the same platform under their own brand through the white-label partner programme, and set their own client pricing.
The rest of the AI market: advertised rate versus production rate
The most useful thing I read while researching this page was written by a competitor, and it argues against the category's own advertising.
Caller Digital's voice AI pricing page for India (verified on caller.digital, no visible publish or update date, checked 20 Jul 2026) states that headline advertised rates in India run ₹2–₹12/min, with ₹3–₹6/min the most common mid-market band — but that the effective rate in production is ₹6–₹25/min. It says explicitly that a ₹3/min quote typically costs ₹6–₹9/min once everything lands. Their component breakdown:
| Cost component | Range they publish |
|---|---|
| Platform / SaaS fee | ₹15,000–₹2,00,000 per month |
| Telephony base | ₹0.25–₹0.40/min, marked up 2–5× by vendors, up to about ₹1.50/min on top |
| Language surcharge (Hindi and regional) | ₹1–₹3/min extra |
| LLM pass-through | ₹0.50–₹2.00/min |
| Data storage / compliance | ₹0.10–₹1.00/min of recorded audio |
| Minimum monthly commitment | ₹50,000–₹5,00,000 |
| One-time integration / onboarding | ₹1,00,000–₹10,00,000 |
The comparison above states the published row-by-row differences; read each row with its source, date, and qualifying notes.
Two caveats. First, that telephony base figure is described second-hand as a regulated base rate; no regulator's page was fetched, so do not attribute it to TRAI directly. Second — and this is the part worth sitting with — that same pricing page does not publish caller.digital's own rate. It lists "Tier 1: transparent per-minute pricing" and "Tier 2 (above 100,000 minutes/month): outcome-based pricing" with no numbers, and directs readers to book a demo. A page that documents the industry's hidden fees, and then hides its own, is the clearest possible argument for reading the invoice not the headline.
The one vendor I found publishing a complete public rate card is Aixclerate (verified on aixclerate.com, checked 20 Jul 2026):
| Plan | Monthly | Included minutes | Overage |
|---|---|---|---|
| Starter | ₹9,999 | 500 | ₹7/min (withdrawn 29 Jul 2026) |
| Business | ₹24,999 | 2,000 | ₹7/min (withdrawn 29 Jul 2026) |
| Enterprise | Custom / contact sales | — | — |
The comparison above states the published row-by-row differences; read each row with its source, date, and qualifying notes.
Add-ons: extra business number ₹699 (withdrawn 29 Jul 2026), call recording ₹0.20/min, additional concurrency ₹499 (withdrawn 29 Jul 2026). Two months free on annual billing. Doing the arithmetic on their own published figures: ₹9,999 ÷ 500 minutes = about ₹20/min if you use exactly the allowance, and ₹24,999 ÷ 2,000 = about ₹12.50/min. Use less than the allowance and the effective rate rises; use more and you pay ₹7/min (withdrawn 29 Jul 2026) on top.
And HuskyVoice's AI-versus-human receptionist comparison page publishes no cost figures at all on the comparison itself, routing readers to a separate pricing page. We keep a like-for-like breakdown at Dvaarik vs HuskyVoice, Dvaarik vs Bolna AI and Dvaarik vs Vapi.
Where this leaves us honestly: publishing a price is not a moat. Aixclerate does it too. The difference worth arguing is the *shape* — no voice plan, no minimum monthly usage commitment, credits that never expire, and a ₹10,000 first load against the ₹50,000–₹5,00,000 minimum commitments caller.digital documents as normal in this market.
Cost per handled call, at four volumes
Dvaarik is self-serve SaaS today: there is no setup fee and no minimum commitment. You log in, add your services, staff, hours and knowledge, connect channels, and pay only for what your agents actually do.
| What | Price | Notes |
|---|---|---|
| AI voice calls | from ₹2/min | Simple per-minute billing on whole minutes; higher grades up to ₹5/min |
| AI chat | ₹2 per conversation | 24-hour window |
| Phone number + 1 concurrent line | ₹1,500 per 30 days | Includes up to 3 numbers; debited from credits |
| Social Plan — WhatsApp + Instagram agents + campaigns | ₹1,500 per 30 days | Only if you use those channels |
| WhatsApp message charges | ₹0 markup | Meta bills your own WhatsApp Business account directly |
The comparison above states the published row-by-row differences; read each row with its source, date, and qualifying notes.
Credits are prepaid and never expire; at zero balance agents pause gracefully, so there are no surprise bills. Agencies and developers can sell the same platform under their own brand through the white-label partner programme, and set their own client pricing.
Where a human is genuinely better
Not a token paragraph. These are the situations where I would tell you to keep or hire the person. The cost side of that same split — one eight-hour shift against ₹2/min running around the clock — is worked through in the AI vs human receptionist cost breakdown.
The caller is already angry
Someone who has been overcharged, kept waiting, or let down does not want efficient. They want to be heard by a person who can say "that should not have happened" and mean it. An agent that answers in one ring and processes the complaint correctly still fails that call. Our agents do not try to argue an upset caller down — they take the details and flag the call so you can ring back yourself.
Judgement calls and exceptions to policy
"Can you waive the cancellation fee this once?" "My mother is unwell, can you fit me in tomorrow?" Every business runs on exceptions its own owner makes by feel. An AI agent applies your rules. It cannot decide when to break one, and I would not build it to.
Negotiation, discounting and complaint resolution
Anything where the outcome depends on reading the other person and adjusting the offer mid-sentence. A person does this. A scripted agent, however good the voice, does not.
Relationship accounts
Your twelve biggest customers, the ones who ring and expect to be recognised. Those calls should reach you or your senior person directly — give them a number that does, and keep them off the automated line entirely.
Everything that is not a phone call
The subject described in this section: This is the one comparison pages forget entirely. A receptionist greets walk-ins, manages the waiting room, handles the courier, chases the pending file, and reads the mood of the space. If the person you are considering replacing does any of that, you are not comparing like with like — you are comparing a phone line to a job.
When you should not buy from us
Written straight, because a page arguing for honest costs cannot end with a pitch that pretends we win everywhere.
Your call volume is low enough that someone absorbs it inside their existing job. If you take 60 calls a month and your front desk answers them between other tasks, the AI is a solution to a problem you do not have. We would still cost less than a salary in absolute terms — that is not the point. Today Dvaarik is self-serve with no setup fee and no required plan — usage is prepaid credits, voice from ₹2/min with whole-minute billing. Come back when you are missing calls you can name.
We have no case studies, no third-party review profile, no compliance certifications and no named support SLA. Established Indian platforms have years of accumulated authority and enterprise logos. If your buying process requires any of that, you should buy from them, and I would rather say so than waste your evaluation cycle. Our rules also forbid manufacturing testimonials or statistics to fill the gap, which is why you will not find any on this site.
You need bodies on messy work tomorrow. A BPO will take on undocumented, judgement-heavy work with no build phase and absorb complexity we would need mapped up front. At $1,200–$2,400 per dedicated seat per month (1840 & Company, last modified 9 Jun 2026, checked 20 Jul 2026), that is a real answer to a real need.
Your calls are mostly the hard kind. If the majority of your inbound is complaints, disputes or negotiation rather than "are you open, what does it cost, can I book Thursday", the AI handles the minority and flags the rest for you. The economics stop working.
We are more transparent than most, not uniquely so. Aixclerate publishes a full public rate card with add-ons. Our argument is the structure — no voice plan, no minimum usage commitment, credits that never expire — not a claim to be the only honest vendor in India.
One method limitation, restated. The EPFO's own rate table could not be fetched for this page. The statutory PF maths above rests on a secondary source. Verify against your payroll provider before you build a business case on it.
The hybrid most Indian SMBs should actually run
For most businesses reading this, the answer is not "replace the person". It is a split, and the split is not complicated.
Give the AI:
- First answer on every inbound call, so nothing rings out
- Overflow when calls land while your person is already busy
- After hours, Sundays and holidays
- The repeat questions — timings, price, location, availability, directions
- Booking, confirmation and the reminder (booking)
- Speed-to-lead callbacks on your own ad enquiries, typically inside about 60 seconds (speed-to-lead)
- WhatsApp and Instagram replies that currently sit unanswered overnight (WhatsApp, Instagram)
Keep for the human:
- Anything flagged, and every genuinely upset caller
- Exceptions, discounts and negotiation
- Named relationship accounts, on a number that reaches a person
- Walk-ins and everything happening in the room
What this does to the salary line is usually not "remove it". It is "stop hiring the second one", or "stop paying a night shift", or "give the person you have back the two hours a day they currently spend saying the same four sentences". That is a smaller claim than most vendors make and a more defensible one.
One constraint that is ours, not a limitation of the category: outbound calls go only to your own leads and enquiries. We do not call purchased lists. Calling hours are respected and the agent identifies your business at the start of the call. If your plan depends on cold-dialling a bought database, we are not the vendor. More on the split at inbound vs outbound AI calling.
A worked example (invented, and labelled as such)
Sundara Skin & Hair, Warangal — an invented business used only to show the arithmetic. No such client exists; the numbers below are illustrative inputs, not observed results. Assume 420 enquiry calls a month, average 3 minutes, and assume a third arrive after 8pm or on Sunday — an assumption, not a measurement, so check your own logs. Currently one telecaller on a day shift, and the owner's phone after hours.
| Option | Monthly cost | Coverage |
|---|---|---|
| A — second telecaller for evenings | ≈ ₹25,000–₹27,000 (₹23,000 all-in plus Telemploy's ₹2,000–₹4,000 shift allowance), plus ≈ ₹940 expected replacement cost | One more shift |
| B — BPO dedicated seat | $1,200–$2,400, converted at your own rate | Hours you buy, one seat, 38% subcontractor churn |
| Social Plan (optional — WhatsApp + Instagram agents + campaigns) | ₹1,500 per 30 days | Only if you use those channels |
The comparison above states the published row-by-row differences; read each row with its source, date, and qualifying notes.
The existing telecaller stays under Option C. What changes is that the evening hire does not happen and the after-hours calls stop reaching the owner's personal phone. The honest caveat: the saving here comes from not adding a second salary, not from the AI being free. If your volume is low enough that the current person already handles the evenings, Option C is buying coverage you may not need yet.
How to decide this week
Five steps, none of which require talking to a vendor.
- Count. Two weeks of call logs. Total calls, missed calls, calls outside working hours, and average duration. Everything above is arithmetic on these four numbers, and guessing them is why most of these decisions go wrong. The missed-call calculator will structure it if you want.
- Classify. Tag a sample of 50 calls as routine (timings, price, availability, booking) or hard (complaint, negotiation, exception). If hard is more than about a third, weight toward people.
- Price all three. Telecaller at your city's band plus employer PF and, where the wage is under the ceiling, ESI. BPO at published per-seat rates. AI at ₹2/min against your actual minutes plus the fixed floor. Use your numbers, not the illustrative ones here.
- Ask every AI vendor for the effective rate, in writing. Platform fee, telephony markup, language surcharge, storage, minimum monthly commitment, setup, and what happens to unused credits. Caller.digital's own pricing page documents that a ₹3/min headline commonly becomes ₹6–₹9/min in production — that is vendor-side confirmation that the headline is not the invoice.
- Test it on your worst call. Not the easy one. Take the enquiry your team handles badly at 9pm on a Sunday and see whether the agent handles it or takes the details and flags it for you. Either outcome is useful; only one of them is a reason not to buy.
If you want the sector-specific version of this maths, we have written it up for clinics, salons, real estate and restaurants. Details on the build itself are at how it works and the pilot.
Frequently asked questions
Is an AI receptionist actually cheaper than one telecaller once I count PF and ESI?
Yes, at every volume a small business realistically runs. A telecaller at Jooble's verified average of ₹21,007/month (data as of 15 Jul 2026, checked 20 Jul 2026) costs about ₹22,300–₹23,000 all-in once you add employer EPF at 12% of basic plus DA and, where the wage falls under the ₹21,000 ceiling, employer ESI at 3.25% (ClearTax and Tally Solutions, both checked 20 Jul 2026). Today Dvaarik is self-serve with no setup fee and no required plan — usage is prepaid credits, voice from ₹2/min with whole-minute billing. At 100 calls a month we are still cheaper in absolute terms (₹7,600 against roughly ₹23,000), but the problem being solved is small enough that the spend may not be worth it — see "When you should not buy from us". The crossover where one salary becomes cheaper than our usage bill sits near 2,600 calls a month: (₹23,000 − ₹7,000) ÷ ₹6 per call. One caveat worth repeating: the EPFO's own rate table could not be fetched, so verify the PF figures with your payroll provider.
How many calls can one telecaller handle in a month before I need a second person?
There is no verified figure here and I will not invent one. The only public number I found is a claim on caller.digital's India answering-service page (published 14 Jul 2026, checked 20 Jul 2026) that one receptionist handles 1,100–1,400 calls a month, and that page cites no source for it. Measure your own instead: log two weeks of calls and average durations. Note that the pattern matters as much as the total — one person takes one call at a time, so a business with 400 calls clustered into two peak hours needs more heads than a business with 400 spread evenly.
Should I hire someone or outsource to a small BPO for inbound calls?
Outsourcing is usually not the cheap middle path people assume. 1840 & Company (page last modified 9 Jun 2026, checked 20 Jul 2026) publishes India voice support at $6–$14 per hour and dedicated agent seats at $1,200–$2,400 per month all-inclusive — convert at your own bank rate and that typically lands above a locally hired telecaller. What a BPO genuinely gives you is speed on messy work: they will take on undocumented, judgement-heavy calls without you first mapping the process. What you give up is control of quality, plus higher churn — the research AVOXI cites puts subcontractor call-centre attrition at 38% against 28% in-house.
Can an AI actually handle Hindi and my regional language, or only English?
Our agents handle 22 scheduled Indian languages plus code-mixed speech — Hinglish, Tenglish and Tanglish — and most world languages. Code-mixing matters more than the language list for Indian inbound, because real callers switch mid-sentence rather than picking a language and staying in it. Worth knowing about the wider market: caller.digital's voice AI pricing page documents a language surcharge of ₹1–₹3/min extra for Hindi and regional languages as common industry practice (checked 20 Jul 2026). Our ₹2/min base rate covers the 22 scheduled Indian languages and code-mixing with no surcharge. Languages outside that set fall under the Global option — see /pricing. More at /features/multilingual.
What happens when the caller is genuinely angry?
The agent stops trying to resolve it, takes the caller's details and the substance of the complaint, and flags the call for you to ring back. That is the design, not a workaround. An agent that keeps processing a complaint correctly while the caller gets angrier is failing the call regardless of how good the voice is. A person is better at this — they can say the thing that lands, offer the exception, and let someone feel heard. The realistic goal for an AI agent on an emotional call is to recognise it early and stop making it worse.
Is the advertised per-minute rate honest, or does it balloon in production?
In this market, often the latter — and the clearest documentation of that comes from a competitor. Caller.digital's voice AI pricing page (checked 20 Jul 2026) states that a ₹3/min quote typically costs ₹6–₹9/min in production, and that effective rates across the market run ₹6–₹25/min once platform fees of ₹15,000–₹2,00,000/month, telephony marked up 2–5×, language surcharges and storage are counted. That same page does not publish its own rate. Ours is ₹2 per minute on simple whole-minute billing, with no platform fee and no minimum monthly usage commitment. Ask any vendor for the effective rate in writing before signing.
Is there a lock-in, a minimum monthly commitment, or a setup fee?
Dvaarik is self-serve SaaS today: there is no setup fee and no minimum commitment. You log in, add your services, staff, hours and knowledge, connect channels, and pay only for what your agents actually do.
| What | Price | Notes |
|---|---|---|
| AI voice calls | from ₹2/min | Simple per-minute billing on whole minutes; higher grades up to ₹5/min |
| AI chat | ₹2 per conversation | 24-hour window |
| Phone number + 1 concurrent line | ₹1,500 per 30 days | Includes up to 3 numbers; debited from credits |
| Social Plan — WhatsApp + Instagram agents + campaigns | ₹1,500 per 30 days | Only if you use those channels |
| WhatsApp message charges | ₹0 markup | Meta bills your own WhatsApp Business account directly |
The comparison above states the published row-by-row differences; read each row with its source, date, and qualifying notes.
Credits are prepaid and never expire; at zero balance agents pause gracefully, so there are no surprise bills. Agencies and developers can sell the same platform under their own brand through the white-label partner programme, and set their own client pricing.
Does it work after hours and on Sundays without a night shift allowance?
Yes, and that is where the cost comparison shifts most. The agent runs 24/7 at the same ₹2/min and is not bound to a shift or a desk, so there is no shift loading. For contrast, Telemploy's recruiter-platform guide (no publication date, checked 20 Jul 2026) describes a ₹2,000–₹4,000/month shift allowance on top of salary for non-standard hours. If a meaningful share of your enquiries arrive after 8pm or on a Sunday, the human alternative is not one salary but two shifts, which widens the gap considerably.
Can it book appointments and send the reminder?
Yes — the Booking agent locks the slot during the call and sends the confirmation and the reminder before the appointment. See /features/booking, and for the sector-specific version, /blog/reduce-salon-no-shows-india and /blog/ai-receptionist-for-clinics-india.
How long does it take to go live?
Days, not months, provided your flows are decided. The build is not the slow part — the slow part is you deciding what the agent should say when someone asks for a discount, or when the slot they want is gone. I build each agent personally from Telangana, so there is no queue behind an account manager, but there is also no team, so I am honest that a business needing enterprise onboarding with a named SLA should look elsewhere. See /how-it-works.
On cost alone the comparison is not close, and pretending otherwise would be the dishonest move. Against a telecaller at the verified national average of ₹21,007/month (Jooble, data as of 15 Jul 2026) — roughly ₹22,300–₹23,000 once employer PF and, where applicable, ESI are counted — our fixed floor of ₹7,000 a month in months one to three plus ₹2 per minute comes out lower at every volume in the table above, and stays lower until about 2,600 three-minute calls a month. So if price is your only question, the answer is already in. Price was never the only axis. A person handles an angry caller, makes exceptions, negotiates, and does the half of a receptionist's job that has nothing to do with the phone. No agent I build does any of that, and pages claiming otherwise are selling. The configuration that works for most Indian SMBs is a split: AI on first answer, overflow, after-hours and repeat questions; the human on the hard calls and anything emotional. The right reason to keep or hire a person is the work, not the invoice. What I will commit to is the number. Today Dvaarik is self-serve with no setup fee and no required plan — usage is prepaid credits, voice from ₹2/min with whole-minute billing. Chat ₹2 per conversation. no voice plan, no minimum monthly usage commitment, and credits that never expire. Against a market where a documented ₹3/min headline commonly bills at ₹6–₹9/min and minimum commitments run ₹50,000–₹5,00,000 a month, the difference worth arguing is not that we are cheaper — it is that the price on this page is the price on the invoice.
Log in to Dvaarik on WhatsApp at +91 79956 76588 — send your rough monthly call volume and what is going unanswered, and I will send back the arithmetic for your business, including the case for not buying yet if that is what the numbers say. Today Dvaarik is self-serve with no setup fee and no required plan — usage is prepaid credits, voice from ₹2/min with whole-minute billing.
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Written by
Rohith Sriramula
Founder & CEO, Dvaarik AI
A laid-off engineer who went all in on Dvaarik AI. He builds the platform and product workflows from hands-on work with Indian businesses, not theory.