Your call centre, in every language your callers speak.
Your queue does not sort itself by language. A caller opens in Hindi, switches to English halfway through a sentence, and expects whoever picked up to keep up. Agni keeps up. It answers the routine tier in 50+ languages, hands the calls that need a person to a person with the context already gathered, and writes every outcome back to your CRM.
A contact centre never breaks on the hard calls. It breaks on the identical ones.
Balance enquiries, order status, appointment changes, payment reminders. The same handful of intents, in a queue that never empties, handled by people you hired for judgement and then asked to read a script. The hard calls, the ones that keep the account, are the calls your best agents never get to because the routine tier ate the shift.
The economics have moved underneath the model. Wages rise. Attrition resets your training investment more than once a year. Every enterprise client now asks for languages you cannot staff across a full shift, let alone a night shift. And QA reviews a sample, which means most of what your callers actually hear is never heard by you.
We would rather show you a blank than a number we cannot source. These four metrics are being verified in the claims audit and will publish with their sources attached. Bring your own figures to the workshop and we will model against those instead.
Five verbs. One voice layer.
Not a chatbot bolted to a phone number. A voice layer that takes specific work off the queue and gives your agents back the calls that need a human.
The repetitive tier, answered in the caller's own dialect, at any hour, with no queue in front of it.
- Balance, order status, hours, and reset flows handled end to end
- Replies in the register the caller opened in, not a default language
- Hands to a person the moment intent goes off script
Inbound and outbound qualification that asks your questions, in your order, on every single call.
- Same criteria on call one and call ten thousand
- Intent, budget, and timing captured into structured fields
- Books the callback into the calendar it belongs in
A transfer that carries context. Your caller does not start the story again for a second person.
- Agent gets a live summary before they say hello
- Sentiment and language preference travel with the call
- Escalation triggers you define, not a generic confidence score
Every call written back, so the record is the call itself rather than someone's memory of it at 6pm.
- Structured write-back to your CRM of record*
- Transcript, outcome, and next action on the contact
- No post-call wrap-up time on the routine tier
Score the whole book instead of the slice your QA team had hours for this month.
- Every call transcribed, scored, and searchable
- Flag missed disclosures, dead air, and escalation misses
- Coaching evidence becomes a query, not a listening session
Most floors start with deflect, because it is the easiest to measure and the fastest to reverse if you hate it. Ninety minutes with your ops lead and we will pick it together.
BOOK A WORKSHOP →*Integration depth varies by platform and is confirmed in the design week, not assumed here. See the integrations section below.
It speaks the language. Agni speaks the place.
Your callers do not switch language at a sentence boundary to be polite to your IVR. They switch because a family member walked in, because the technical word only exists in English, because that is simply how people talk in Dubai, Mumbai, and Manila.
A stitched pipeline has to detect, stop, re-route, and restart. The caller hears the seam every time. Agni carries the switch inside one conversation, keeps the emotion, and keeps the thread. That is the difference between a caller who tolerates the line and a caller who forgets it is not a person.
It drops into the stack you already run.
Read this section as a list of software we connect to. It is not a customer list, not a partner list, and not an endorsement. If a platform matters to your floor and it is not here, ask us in the workshop.
Carrier SIP trunking and in-house CRMs are handled as scoped integration work in the design week. We confirm what connects, and how deeply, before anyone signs.
Recording, retention, and residency are configured to your region. Call audit trails are complete rather than sampled, which is usually the part your risk team cares about most.
If your compliance team needs something outside this list, say so in the workshop. We would rather tell you no early than discover it in a security review.
ATTESTATION EVIDENCE PENDINGAll product and company names are the trademarks of their respective owners. Naming a platform here indicates an integration target only and implies no relationship, endorsement, certification, or partnership. Integration availability and depth are confirmed per deployment.
Before you talk to us, run the maths yourself.
Agent count, loaded cost per agent, and the share of your calls that are genuinely routine. Three stages, your own currency, and an output you can put in front of a CFO without editing it first.
If the number is not compelling, you have saved yourself a meeting. That is a fair outcome and we would rather you found it here.
Starts on regional defaults if you do not have your numbers to hand, then lets you dial the realisation rate from conservative to optimistic and watch the payback move.
*Pricing of $0.09 per minute is indicative and pending final commercial confirmation. Calculator outputs are estimates built from the inputs you supply, are forward-looking, and are not a forecast, a quote, or a commitment. Your result depends on volume, call mix, market, and the scope agreed in your workshop.
Most voice projects die at integration. We ship a deployment team.
Three phases, named owners, and a live slice of your real volume long before anyone calls it a rollout.
We map your top three call types, write the voice and the dialect register with your ops lead, and agree the escalation rules in writing. Telephony and CRM access is scoped here, so it is not discovered in week five.
Integration, dialect tuning against your own recordings, then a pilot on a slice of live volume with QA running beside it and a human fallback on every path. You compare it to your human baseline, not to a demo.
Scale to full volume on the calls that earned it, weekly performance review, and a backlog of the next call types. A named engineer stays on the account rather than handing you to a ticket queue.
*Forward-looking and scope-dependent, pending verification in the claims audit. Timelines assume your telephony and CRM access is available in week one and that a decision maker is in the room for the design sessions.
A collections book in 14 languages, run by voice.
A carrier moved its recovery calling to Agni. Same book, same regulator, same debtors. What changed was cost per contact and the fact that quality stopped depending on which agent happened to pick up. Agents released from the pre-due tier went to retention and dispute work, which is where the operator wanted them anyway.
CLAIM PENDING · FIGURES IN CLAIMS AUDIT*Forward-looking and deployment-specific. These figures describe a single deployment, are pending verification in the claims audit, and are not a prediction of your result. The operator is not named because we do not have written clearance to name it. Outcomes depend on volume, book quality, and market.
What BPO leaders ask before anything else.
That is your decision, not ours, and we will not pretend otherwise. What we can tell you is how the deployments we run are usually designed: the routine tier moves to voice, and the people who were on it move to work that is billable at a higher rate or holds more value in house, retention, disputes, fraud, premium service. We plan that transition with your ops and HR leads from the design week so it is a plan rather than a reaction. If the only business case you have is headcount reduction, say so early and we will tell you honestly whether the numbers hold.
Three differences. We own the stack end to end, ASR, language model, speech, and telephony, rather than reselling an aggregated pipeline, which is where the cost difference comes from. Multilingual is native rather than stitched, so the dialect and the mid-sentence switch survive the call. And we ship a deployment team rather than an SDK and a documentation link. Assembled stacks are excellent for a prototype. The gap shows up in month three, at volume, when the seams start to cost you calls.
Nothing gets ripped out. Our integration targets include the major CCaaS and telephony platforms, Genesys, Five9, Avaya, and Twilio among them, plus carrier SIP trunking, and CRM write-back to platforms such as Salesforce and Zoho. Those are integration targets rather than customers of ours. In-house and heavily customised CRMs are handled as scoped integration work, sized in the design week so the estimate is real before you commit. Custom API work is in scope for us, which is often the thing the incumbents decline.
We speak to SOC 2, HIPAA, configurable data residency, and a 99.99% SLA. That is the list. We deliberately do not claim frameworks we cannot put evidence behind, because the fastest way to lose an enterprise account is to be caught overclaiming in a security review. Calls are recorded and retained per your policy, in your region, with a complete audit trail rather than a sampled one. If your risk team needs something outside that list, raise it in the workshop and we will tell you plainly whether it is on the roadmap or simply not there.
We do the build, you own the operation. A named engineer runs the deployment alongside your ops and technical leads across three phases: design in weeks one and two, deploy through weeks three to six, operate from week seven. You supply call flows, scripts, recordings for dialect tuning, and access. We build the voice, tune the dialect, integrate the stack, and run pilot QA with you. Expect roughly two hours a week from your ops lead during the pilot, less after that.
Some will, and the design should assume it. Every flow we build has a route to a person, and asking for one should never take more than a sentence. What tends to move acceptance is not the technology but the language: a caller who is answered in their own dialect, immediately, with no queue and no menu tree, usually cares far less about what is on the other end. Run the pilot on a slice of volume and measure it against your own human baseline rather than taking our word for it.
If your volume is small, if you need one language and will only ever need one, or if you want a self-serve prototype you can wire up this afternoon, we are the wrong call and an assembled stack will serve you better. Our model assumes an ops lead, a technical contact, and enough volume that a designed voice programme pays for itself.
If your calls are overwhelmingly emotional, disputed, or legally sensitive, keep them with your people. Use us for the routine tier that surrounds them, or do not use us at all. And if your compliance team needs a certification outside SOC 2, HIPAA, data residency, and our 99.99% SLA, tell us before you sign anything. We would rather lose the deal than promise a badge we do not hold.
One call. The caller flips language mid-sentence and Agni does not miss a beat. Play it to your ops lead before you play them a slide.
Watch the demo →Agent count, loaded cost, routine call share. Ninety seconds to a realistic year one in your own currency, ready for your CFO.
Run the BPO calculator →Ninety minutes. Bring your ops lead. We call your own queue, live, in your market's dialect, then sketch the deployment together.
Book a workshop →