Every call answered. In their own language.
Your queue does not keep office hours and your callers do not share one language. Agni answers on the first ring, in the dialect the caller actually speaks, handles the questions you answer a thousand times a week, and hands the hard ones to a human warmly, with the context already gathered.
Most of your inbound is the same twenty questions.
Where is my order. Why is my bill higher. How do I reset it. Your best people spend their day on the questions that need no judgement, then are too stretched for the calls that do. Meanwhile the 2am caller waits until morning and the caller who is more comfortable in Tamil gets routed to whoever happens to be free.
Adding headcount fixes it for a quarter. Then volume moves, a market is added, a language is added, and the maths resets. Scripted IVR was the last attempt at this and everyone learned the same lesson: callers press zero within nine seconds because the machine could not understand them and did not sound like it wanted to.
Agni is not an IVR with better recordings. It listens, understands the accent and the register, answers in the caller's own dialect, and knows the difference between a question it should close and a conversation a human should own. When it hands over, it hands over warm, with the account already pulled and the reason already summarised.
*Forward-looking figures, pending verification in the claims audit, and dependent on the deployment scope agreed in your workshop. Coverage expands continuously. These are not a prediction of your result.
Voice AI that sounds feels human.
Six things, done properly, on every call. No demo-only tricks and nothing that quietly falls back to a menu tree.
First ring, every hour, every language on your book. No queue music, no callback promise, no overflow to voicemail at the end of the shift.
Accent, dialect, and register, not just words. A Chennai caller and a Colombo caller are not the same caller, and the model does not treat them as one.
The repeatable twenty resolved in the conversation itself. Balance, status, hours, eligibility, reset, reschedule. No ticket created for something that was already answered.
Read and write against your systems mid-call. Look up the order, apply the credit, move the appointment, send the confirmation, all inside the same conversation.
When it matters, a human takes over with the account open, the transcript summarised, and the caller's language already flagged to routing. The caller repeats nothing.
Every call transcribed, tagged, dispositioned, and written back to your CRM or ticketing system. QA on 100 percent of calls instead of a 2 percent sample.
It speaks the language. Agni speaks the place.
Real callers do not stay in one language. They open in the language they think in, then flip to English for the technical part, then flip back to thank you. Pipeline voice stacks break at exactly that seam: they detect a language at the start of the call and commit to it.
Agni switches mid-sentence, keeps the same voice and the same warmth across the switch, and never asks the caller to start again. That is the moment support calls stop feeling like a system and start feeling like a person.
It joins your stack. It does not replace it.
Agni sits on your existing telephony and writes back to the systems your team already lives in. Nothing below is a customer reference. These are the platforms we integrate with.
Not on the list? Custom API work is in scope on the enterprise plan, and that is usually the difference between a six month integration project and a two week one.
Deployment inside your region, your retention policy on transcripts and recordings, role-based access on every console, and a full audit trail per call. Single-vendor call path, so there is one throat to hold when something goes wrong at 3am.
Sector depth: BPOs and contact centres →
Enter your monthly call volume, your average handle time, your seat cost, and your currency. The calculator returns a realistic year one on deflection, coverage, and cost per contact. Ninety seconds, no email wall to see the number.
Reference rate: $0.09 per minute* on the platform resell plan, plus a one-off deployment fee.
Open the contact centre calculator*Pricing is pending final confirmation and is indicative only. Your rate depends on volume, languages, and deployment scope.
The mechanics change with the industry. Same engine, different playbook, different regulator, different definition of a good call.
Design, deploy, operate. Under eight weeks.*
No pilot that never ends. A scoped design phase, a live deployment on a real queue, then a named engineer who stays with the account.
We take your top call reasons, your real transcripts, and your escalation rules. We choose the languages and the city registers that match your caller base, write the conversation design, and agree the handoff triggers and the guardrails. You sign off the script before a single call is placed.
Telephony connected, CRM and ticketing wired both ways, and a shadow period where Agni handles a slice of live traffic while your team watches every transcript. We tune on your calls, not on a generic benchmark, then widen the slice as the numbers hold.
Full volume, a named engineer, and a weekly review of deflection, containment, escalation quality, and caller sentiment. New languages and new call reasons ship as changes, not as new projects.
*Under eight weeks to production is a target, pending verification in the claims audit, and depends on integration complexity, telephony access, and how quickly script sign-off happens on your side.
One inbound number. Eleven languages behind it.
A regional service operator consolidated a set of language-specific hotlines onto a single number. Callers now open in whatever language they think in, switch when they want to, and reach a human only when the call actually needs one.
CLAIM PENDING · figures in claims audit CUSTOMER NAME WITHHELD PENDING CLEARANCEDeployment-specific and forward-looking. This describes a single deployment, is pending verification and customer clearance, and is not a prediction of your result. Outcomes depend on call mix, volume, and market.
The questions your ops lead will actually ask.
Most will not, and that is exactly why disclosure matters. We recommend a short disclosure at the top of the call, and in several markets it is required. Disclosure is a setting, not a limitation. Our own target is that nine in ten callers cannot tell,* and we would rather you tested that on your own queue than took our word for it.
It hands over. You set the triggers: a topic list, a sentiment threshold, an explicit request for a human, or a confidence floor. The human receives the account, the transcript summary, and the caller's language, so the caller never repeats themselves. A handoff is a designed outcome, not a failure state.
In most cases yes. We connect over SIP to your existing trunk or sit behind your current contact centre platform, so your numbers, your routing, and your reporting stay where they are. If you want us to own the telephony instead, we can do that too.
In the region you choose. Data residency is part of the deployment design, not an upgrade. You set the retention policy on recordings and transcripts, access is role-based, and every call carries an audit trail. We hold SOC 2 and HIPAA controls, and your security team gets a working session with our engineer, not a PDF.
As many as your caller base needs. The model handles 50+ languages and 200+ dialects,* and it switches between them mid-sentence rather than routing to a separate line per language. In practice most deployments start with three to six languages and add more once the first set is stable.
The platform resell plan is $0.09 per minute* plus a one-off deployment fee. Enterprise custom builds are negotiated and include custom API work. Run the contact centre calculator for a realistic year one on your own volumes before you speak to anyone.
Your call mix is mostly complex, emotional, or high-value judgement calls. If a typical call runs twenty minutes and ends in a negotiated outcome, voice AI belongs in triage and callback, not in the conversation. We will tell you that in the workshop rather than after the deployment fee.
You need one language and you already answer inside thirty seconds. The dialect advantage is the reason to choose us. If it does not apply to you, a cheaper single-language vendor is a fair choice and we will say so.
You want a self-serve bot you can wire up this afternoon. We deploy inside enterprises, with design, integration, and a named engineer. If you are operating in India and want to self-serve, go to ravan.ai instead.
Your telephony is locked and nobody will open it. No voice vendor survives that, us included. Sort the access first, then talk to us.
*All figures on this page are forward-looking, pending verification in the claims audit, and indicative only. Pricing is pending final confirmation.
One inbound call. The caller flips language mid-sentence and Agni does not miss a beat. Old pipeline tech physically cannot do this.
Watch the demo →Your call volume, your handle time, your currency. See a realistic year one on deflection and cost per contact.
Run the calculator →Ninety minutes. Bring your ops lead. We call your own support line, live, in your market's dialect, then plan the deployment.
Book a workshop →