Before you believe the timeline
“Live in five minutes” is true. It is also phase one of five.
The five-minute demo is real. It is also phase one of five, and it is the only phase the platform can shorten on its own.
This page is not an accusation. The speed claims across this category are broadly accurate about something real, and the products genuinely are faster than they were. The gap is an equivocation rather than a falsehood — and once the phases have names, it stops costing anybody a slipped launch date.
The five phases, and who actually owns each
15–65 working days, realistically
- 1
A bot that answers
Done when — You can dial a number and hold a conversation with it.
<1–1days
The platform really does collapse this
What eats the time
- Signing up, picking a voice and writing a first prompt.
- Attaching a test number, which is instant on a platform and days if you are buying your own.
Ask them this
Is this number provisioned to us, or is it a shared sandbox number we cannot use with real callers?
- 2
A bot that survives your own callers
Done when — Fifty real calls from your own audience end the way you intended, including the awkward ones.
5–20days
The platform helps, but cannot finish it
What eats the time
- Writing the paths nobody demos: wrong number, voicemail, a caller who interrupts, a caller who asks for a human, silence, a child answering.
- Getting your own knowledge into it — documents, product rules, exceptions — and finding the places it confidently invents an answer.
- Testing on your callers' actual audio: their accents, their handsets, their network. A demo runs on a laptop microphone in a quiet room.
- Deciding what the bot must never say, and proving it does not.
Ask them this
Can we run fifty calls from our own list before signing anything, and can we listen to all fifty?
- 3
Connected to your systems
Done when — A call changes something in your CRM, and the change is correct.
5–30days
This is your work, whatever you buy
What eats the time
- Ordinary integration work: authentication, field mapping, error handling, retries, and someone on your side with access to grant.
- Deciding what happens when your system is down mid-call, which is a product decision nobody makes until it happens.
- A one-click CRM connector usually writes one object. Anything conditional is code.
Ask them this
Show us a customer whose calls write to the same system we use, and tell us who wrote that integration.
- 4
Allowed to dial
Done when — Legal has signed off on the calling, the recording and the retention.
3–25days
The platform helps, but cannot finish it
What eats the time
- In India, outbound: DLT registration, consent records, DND scrubbing and calling-window rules. The paperwork is not fast and it is not the vendor's to file.
- Caller identity and KYC on the number, which is a carrier process with a queue.
- Recording notice, retention period and who inside your company can listen to a call.
- Whoever must sign this off usually joins the project late, which is the actual delay.
Ask them this
Which of these obligations do you carry, which do we carry, and what does the contract say when a regulator disagrees?
- 5
Trusted with volume
Done when — You know the cost per outcome and someone is watching quality without being asked to.
10–30days
This is your work, whatever you buy
What eats the time
- Ramping traffic in stages, because the failure modes at ten thousand calls are not the ones at fifty.
- Sampling and scoring real calls every week, and having somebody whose job that is.
- Wiring handoff to a human that works at the moment a caller asks, not five minutes later.
- Tracking spend against outcomes, which is the number that decides whether this continues.
Ask them this
What does your dashboard show us on a bad day, and can we export the transcripts to check it ourselves?
The total is not the sum: connection, compliance and hardening overlap in any competently run project, and the 15–65 day band assumes they do. These are our model rather than measured data — we hold vendors to publishing a denominator, so we are not going to quote one confident figure here and exempt ourselves.
Ten claims, translated
Each of these is a sentence you will meet on a landing page. Each one is granted first, because most of them are true about something — a translator that only debunks is propaganda, and you would be right not to trust it. Then what it leaves out, and the one question that settles it on a first call.
“Go live in five minutes.”
SpeedTrue when
You can genuinely have a bot answering a phone number inside an afternoon. Nothing about that is exaggerated, and it is a real improvement on what this took three years ago.
What it leaves out
That 'live' means a bot that answers, not a bot in front of your customers. Between the two sit your content, your systems, your regulator and your quality bar — and the platform controls none of them.
Ask them
How long after signup did your last three customers put the bot in front of real callers, and what were they waiting on?
A good answer: A specific answer with the bottleneck named — 'four weeks, mostly their CRM integration' — rather than a range with no cause attached.
“No code required.”
EffortTrue when
Building the conversation really does not need a developer any more. Prompts, branches and voices are all editable in a browser, and that is most of the day-to-day work.
What it leaves out
That the integration is the part that needs code, and the part that needs code is the part that takes weeks. No-code describes the bot's mouth, not its hands.
Ask them
Which of the things we need — the CRM write, the eligibility lookup, the handoff rule — is configuration, and which is code somebody has to write?
A good answer: A line-by-line split of our actual requirements into configured and built, with a name against whoever builds each one.
“Supports 100+ languages.”
LanguageTrue when
The underlying models really do cover that many. For reading text aloud in a widely-spoken language, the coverage claim holds up.
What it leaves out
That coverage is not proficiency, proficiency is not telephony-grade, and none of it is code-switching. A caller who moves between Hindi and English inside one sentence is a different problem from supporting both languages, and it is the normal case in India.
Ask them
Play us three recordings in our language, over a phone line, with a caller who switches mid-sentence.
A good answer: Actual audio, not a list. If they have no recording in your language, they have no evidence in your language.
“99% accuracy.”
QualityTrue when
Modern speech recognition genuinely reaches numbers like this — on clean, wideband, single-speaker audio in a well-represented accent.
What it leaves out
The denominator, the audio conditions and what was being measured. Telephony is 8 kHz and lossy; published benchmarks almost never are. A percentage without a sample size and a recording condition is not a number, it is a mood.
Ask them
What was the sample size, what audio was it measured on, and was it word accuracy or intent accuracy?
A good answer: A figure with its denominator and its conditions, ideally measured on telephony audio from callers like yours — or an honest 'we have not measured that'.
“Indistinguishable from a human.”
QualityTrue when
Speech synthesis is extremely good now. On a short scripted utterance, plenty of listeners cannot tell.
What it leaves out
That callers detect a bot from turn-taking, not timbre. Being interrupted and stopping cleanly, handling a pause, recovering from a misunderstanding — that is what gives it away, and it is orchestration, not voice quality.
Ask them
Interrupt the demo bot mid-sentence, twice, and change your mind about what you wanted.
A good answer: It stops immediately, does not restart its sentence, and carries the correction forward. Anything else is a scripted demo.
“₹5 per minute, all inclusive.”
PriceTrue when
The rate is usually real, and at low volume a bundled per-minute price is genuinely simpler than assembling six vendors yourself.
What it leaves out
What 'all inclusive' includes. A voice bot has six billable layers plus number rental, and platform fees, telephony to expensive destinations, recording retention and premium voices are the ones most often outside the bundle.
Ask them
Send us one real invoice with the line items, for a customer at roughly our volume.
A good answer: An itemised bill, or at minimum total spend divided by conversations handled for one real month of one real customer.
“Unlimited concurrent calls.”
ScaleTrue when
The compute really does scale horizontally, and for inbound traffic the claim rarely gets tested.
What it leaves out
That the carrier, not the platform, sets your concurrency, and outbound at scale runs into rate limits, answer-rate collapse and spam labelling long before it runs into compute. Sending more calls is not the same as more calls being answered.
Ask them
What is the highest concurrency you have actually run for one customer on our telephony route, and what broke first?
A good answer: A number with an incident attached. A vendor who has pushed volume knows exactly what broke first.
“Trained on your data.”
EffortTrue when
Grounding a bot in your own documents and calls does materially improve it, and most platforms make the upload easy.
What it leaves out
Whose work it is. If the improvement depends on your call transcripts, then collection, redaction and consent review are your timeline, not theirs — and that is usually the longest pole in the project.
Ask them
What exactly do you need from us before this performs, in what format, and how long did the last customer take to produce it?
A good answer: A specific list — 'two hundred redacted transcripts, roughly three weeks' — rather than 'just point it at your website'.
“Free pilot.”
PriceTrue when
Free pilots are common and often genuinely free. Getting hands on the product before paying is the right way to buy this.
What it leaves out
How it ends. A pilot with no written success criterion cannot fail, so it does not conclude — it just becomes an awkward conversation about renewal. Ask also whether a contract must be signed before it starts.
Ask them
What is the written number that decides whether this pilot succeeded, who measures it, and what happens if we disagree?
A good answer: A metric, a denominator, a date, and a named adjudicator — before the pilot starts, in writing.
“Enterprise-grade and secure.”
TrustTrue when
Certifications are real, cost real money, and a company that holds one has been through a genuine process.
What it leaves out
Scope. A certificate covers a defined system for a defined period, and the interesting questions — where call audio is stored, which sub-processors touch it, how long transcripts are kept, whether your data trains anyone's model — are answered in the sub-processor list, not the badge.
Ask them
Send the report and the sub-processor list, and tell us where our call audio physically sits and for how long.
A good answer: Documents, under NDA if necessary, plus a straight answer on retention and on model training.
Why no vendor is named on this page
These are claim shapes, not quotations. A statement by a named company belongs on that company’s profile with a source link and a date — the standard the rest of this directory runs on — because a landing page rewritten next quarter would leave us holding a criticism of copy that no longer exists.
It is also more useful this way. “Company X overclaims” helps you with one vendor. “Here is the sentence, here is what it hides, here is the question” works on the next one too, including vendors we have never listed.
Questions people ask about voice AI timelines
- Can a voice AI bot really go live in five minutes?
- Yes, for one meaning of live. You can sign up, write a prompt, attach a number and hold a conversation with it inside an afternoon, and that is genuinely how these platforms work now. What takes longer is the bot being in front of your customers, which additionally requires your content, your system integrations, your regulatory sign-off and a quality bar somebody has agreed. The platform collapses the first of those five phases and cannot finish three of them.
- How long does it actually take to put a voice bot into production?
- On our model, 15 to 65 working days — roughly 3 to 13 weeks — from signup to production traffic. The low end assumes one language, inbound, nothing regulated and an integration somebody has built before. The high end assumes outbound, several languages, a regulator and a system nobody has connected to previously. These are bands, not measurements, and the thing that moves them is named against each phase.
- What takes the longest when deploying a voice bot?
- Usually the integration into your own systems, and — for outbound calling in India — the regulatory paperwork. Neither is the vendor's work and neither appears in a demo. The pattern to watch for is a phase whose owner is you: if a vendor needs your call transcripts before the bot performs well, collection, redaction and consent review are your timeline, not theirs.
- Are vendors lying when they say minutes, not weeks?
- No, and treating it as a lie will make you a worse buyer. The claim is accurate about a real phase of the work. The problem is an equivocation: the pitch means a bot that answers, and the buyer hears a bot in front of customers. Naming the phases removes the ambiguity without anyone having to be dishonest.
- What should I ask a voice AI vendor on the first call?
- How long after signup their last three customers put the bot in front of real callers, and what those customers were waiting on. A specific answer with the bottleneck named tells you they have shipped. A range with no cause attached tells you the opposite.