AI Voice Agent DevelopmentLive calls
On a phone call there is nowhere to hide a thinking pause. We build voice agents with a latency budget for every turn, barge-in that actually interrupts, and a handoff to a person the moment the call needs one.
Answering the line is the easy half. The work is in the telephony, the systems the agent has to read and write mid-call, and the rules for when it should stop talking and fetch a person.
We start from your recordings and scripts rather than a template: what callers actually ask, where the current script falls apart, and which turns must never be automated. That decides the flow, the prompts and the guardrails.
Answer, work out who is calling, resolve what can be resolved, route the rest. Answers are grounded in your own knowledge base, so the agent says what your documentation says — and says it doesn't know when it doesn't.
Reminders, confirmations, renewals and qualification calls placed on a schedule. Voicemail detection, retry rules, calling windows and do-not-call handling are part of the build, not something bolted on after launch.
Book, move and cancel against your real calendar. The hard parts are time zones, double-booking when two callers want the same slot, and reading back what the caller actually said before anything is written.
Numbers, SIP trunks and routing on one side; CRM, ticketing and scheduling on the other. An agent that can't read a record mid-call and write one back at the end is a very expensive answering machine.
Endpointing has to tell a finished sentence from a pause for breath, and barge-in has to cut the agent off mid-word when the caller starts speaking. Both are tuned against your own recordings, because accents and noisy lines break the defaults.
Accents, hold music, spelled-out postcodes and reference numbers are where recognition fails first. We test against real call audio and add vocabulary for the names, products and codes your callers say out loud.
The agent books the slot, updates the record, raises the ticket and sends the confirmation. Every action is idempotent and logged, so a dropped call doesn't leave half a booking behind.
Consent is announced at the top of the call and stored with the recording. Audio and transcripts are encrypted in transit and at rest, access is role-based and logged, and retention windows are set per deployment. Regulatory scope is agreed per engagement.
Transcripts, recordings, containment and transfer rates, and the turns where callers gave up. That is the loop that tells you which prompt to change next — rather than whether the agent sounds good.
ExpertAI + Speech + NLP
Conversational AI, the behaviour of the speech models on both ends, and the ordinary backend work that has to sit under both. Voice projects rarely fail on the model — they fail in the seams between audio, logic and the systems of record.
How we work
Load-testedBefore launch
Concurrency, retries, queueing and graceful degradation are designed in, so a spike turns into a queue and a callback rather than dead air on an answered line.
How we work
Two-wayCRM and telephony
Salesforce, HubSpot, SAP, Oracle or your own APIs — read the record while the caller is still on the line, write the outcome before the call ends, and reconcile cleanly when a call drops mid-write.
How we work
One flowFirst release
One call reason, live, with its containment and transfer rates measured — then the next. Scoping an agent to every call reason at once is the reliable way to launch nothing.
How we work
ContinuousImprovement
Voice agents drift as products, prices and callers change. We keep reviewing failed turns, mis-recognitions and transfers, and feed them back into prompts, vocabulary and confidence thresholds.
How we work
Six steps, and most of the risk sits in the first two. An agent that was never scoped against real call reasons will sound fine in a demo and fall apart on a Monday morning.
We work through your recordings and call logs to find the reasons people actually ring, which of those are safely automatable, and which must reach a person on the first turn.
Flows, prompts, persona, what the agent says when it is unsure, and the exact wording of the recording and consent notice. Escalation paths get written before the happy path does.
Recognition, model and synthesis wired into one turn loop with a latency budget for each hop, plus endpointing and barge-in tuned on your own audio rather than on demo clips.
Numbers, SIP trunks and transfer targets on the telephony side; CRM, calendar and ticketing on the other — with retries and reconciliation for calls that drop mid-action.
Scripted and adversarial calls over real audio: accents, background noise, interruptions, silence, people who change their mind halfway. Containment and transfer rates are measured before anyone real is on the line.
Start on one call reason or a slice of traffic, read the transcripts daily, fix what the calls show, and only then hand the agent the next queue.
Ask about a white-label voice agent: your brand, your numbers, your infrastructure, and the source in your repository.
Booking and rescheduling, reminders that cut no-shows, prescription and results callbacks — with the regulatory controls your practice requires scoped before the first call goes out.
Balance and transaction questions, card blocks, payment arrangements and fraud callbacks, with identity checks and hard stops before anything sensitive is read aloud.
Where-is-my-order calls, returns and exchanges, delivery reschedules, and outbound calls on failed payments or held shipments.
Answer portal enquiries while the lead is still warm, book viewings against the agent's calendar, and chase feedback the day after.
Admissions and enrolment questions, fee reminders, timetable and results queries — and the seasonal spikes that come with all three.
Reservations, changes and cancellations, check-in questions, and the wave of disruption calls when a flight or a booking moves.
Phone bookings for riders who don't use the app, ETA and fare questions, lost property, and a driver support line that is answered.
Meter readings, billing and payment plans, outage and service reports, and information lines that flood the moment something goes wrong.
Cost, languages, integrations, and what happens when the agent gets it wrong. Ask us directly.
Start with one call reason
Send us a handful of recordings and the reasons people ring you. We'll tell you which of them a voice agent can take today, which ones it should never touch, and what the first release would cost to build and to run.
A partner badge is granted, not claimed. These came from Odoo.
The problem, who it's for, and where you are now. That's enough for us to come back with something useful.
hello@aryavos.com
HQ
Noida, India & New York, USA
What happens after you send it
A developer reads it, not an auto-responder. Expect questions about scope and constraints first, then a suggested way to start.
