We build voice agents that pick up calls, understand accents and interruptions, and complete bookings or updates in your systems. Every call ends with a structured summary your team can act on.
The best voice use cases have high call volume, a short list of intents and a system the agent can update while the caller waits.
Call type 1 of 6
Appointment booking and changes
Clinics, salons and field service teams let the agent book, move and cancel appointments directly in the scheduling system, with SMS confirmation after the call.
Front desk staff stop living on hold
Call type 2 of 6
Tier-one support lines
Order status, password resets, billing questions and outage updates handled by voice, with a warm transfer and summary when a human is needed.
Shorter queues for the calls that need people
Call type 3 of 6
Outbound reminders and follow-ups
Payment reminders, appointment confirmations and renewal calls placed at scale, respecting calling hours and do-not-call lists.
Fewer no-shows and missed renewals
Call type 4 of 6
Patient intake and triage
Structured intake questions captured before a visit, with red-flag symptoms routed to clinical staff immediately rather than handled by the agent.
Clinicians start visits with notes ready
Call type 5 of 6
In-app voice assistants
Hands-free voice inside mobile or web apps for drivers, technicians and users who cannot type, using WebRTC streaming for low delay.
Users finish tasks without touching the screen
Call type 6 of 6
Call summaries for human agents
Your existing call center gets live transcription, suggested answers and an automatic summary written into the CRM after each call.
Less after-call work per agent
Built for the calls your team cannot get to.
Target voice-to-voice response time
Under 1s
Target voice-to-voice response time
Call coverage without extra shifts
24/7
Call coverage without extra shifts
Average client rating
4.9/5
Average client rating
Ownership of prompts, flows and call data
100%
Ownership of prompts, flows and call data
[ Capabilities ]
WhatGoesIntoaGoodVoiceAgent
Voice is unforgiving: a pause of two seconds feels broken. We engineer for speed, accuracy and graceful recovery.
Listen
Hear every caller clearly, including accents, names and interruptions.
Accurate speech recognition
Streaming speech-to-text tuned with your product names and vocabulary, measured by word error rate on your own recorded calls.
Turn-taking and barge-in
Voice activity detection and endpointing so the agent stops talking when interrupted and does not cut callers off mid-sentence.
Speak
Answer in a voice that sounds like your brand, in the caller's language.
Natural text-to-speech
Voices chosen and tested for clarity and brand fit, with correct pronunciation of names, numbers, dates and addresses.
Multilingual calls
Language detection and switching for callers in English, Hindi, Spanish and other languages your customers use.
Act
Book, update and transfer inside your systems while the caller waits.
Telephony integration
Inbound and outbound calling through Twilio, Vonage, Telnyx or your SIP trunk and PBX, including transfers, DTMF and voicemail detection.
Live actions in your systems
Function calls into calendars, CRMs, order systems and payment links during the call, with confirmations read back to the caller.
Improve
Measure speed and outcomes on every call, then tune what slows it down.
Low-latency pipeline
Streaming at every stage, response caching and filler phrases during slow tool calls, tracked as p50 and p95 latency per turn.
Call analytics
Containment rate, transfer reasons, sentiment and intent trends, built from transcripts and structured summaries.
Listen
Speak
Act
Improve
[ Architecture ]
HowaVoiceAgentHandlesaCall
Audio flows through a streaming pipeline. Each stage is swappable, so you can change a voice or a speech model without touching the rest.
Stage 1
Call channels
Where callers reach the agent.
Phone numbers
SIP trunk and PBX
WebRTC in apps
Stage 2
Media and turn control
Moves audio in real time and decides whose turn it is.
Media streams
Voice activity detection
Endpointing
Barge-in handling
Stage 3
Speech layer
Turns audio into text and back again.
Streaming STT
Custom vocabulary
Neural TTS
Speech-to-speech models
Stage 4
Dialogue and actions
Understands the request and acts in your systems.
Dialogue LLM
Function calling
Knowledge base
Transfer rules
Stage 5
Post-call and quality
Turns each call into data and keeps quality visible.
Call summaries
CRM write-back
Latency and WER metrics
Recording vault
[ Two-week prototype ]
Hear Your Own Call Flow Before You Commit
Send us ten recorded calls. We return a working voice agent on a test number, with latency and accuracy measured on your callers' real phrasing.
“I had the pleasure of working with Sajal Tech on a travel website, and it was an incredible experience from start to finish. They demonstrated professionalism, clear understanding of requirements, and excellent communication throughout.”
[ Responsible voice AI ]
ResponsibleVoiceAI
Calls carry personal data and consent rules. These safeguards are part of every voice build.
Built to support your obligations under
TCPA
HIPAA
PCI DSS
GDPR
Call recording consent
Disclosure and consent
Callers are told they are speaking with an AI, recording consent follows your jurisdiction, and outbound calls respect calling hours and opt-outs.
Fast human escalation
Frustration, repeated misunderstanding or sensitive topics trigger a warm transfer with the transcript so the caller never repeats themselves.
PII and payment handling
Card numbers are captured through DTMF or secure payment links, never spoken to the model, and transcripts are redacted before storage.
Measured call quality
Word error rate, latency per turn and task completion are tested on recorded calls before each release and tracked on live traffic.
[ Technology stack ]
Speech,TelephonyandModelStack
We test speech and voice options on recordings from your real callers before committing to a stack.
Deepgram
AsAssemblyAI
OpenAI Whisper
Google Speech
Azure Speech
[ How we deliver ]
FromFirstCalltoFullCoverage
We tune the agent on real call recordings, then widen the hours and intents it handles.
1 week
Call audit
Review recordings and call logs, rank intents by volume, and set targets for latency, word error rate and containment.
Intent ranking
Voice and stack choice
Fixed quote
2 to 3 weeks
Voice prototype
A working agent on a test number handling the top intents, so your team can call it, interrupt it and try to break it.
Test phone line
Latency and WER report
2 to 4 weeks
Live pilot
A share of real calls routed to the agent during set hours, with transfers, summaries and CRM write-back enabled.
Pilot dashboard
Transfer analysis
Runbooks
Ongoing
Expand coverage
Add intents, languages and after-hours coverage, and retune vocabulary and prompts from missed or transferred calls.
New intents
Monthly call report
[ Pricing ]
WhataVoiceAgentCosts
Indicative starting prices. Telephony and per-minute speech and model costs are billed by providers, and we estimate them per call during scoping.
Voice FAQ line
A voice agent that answers common questions and transfers the rest.
We target under one second from the end of the caller's speech to the start of the reply, measured at p50 and p95. Streaming STT, a fast dialogue model and streaming TTS get you there, and short filler phrases cover slower lookups.
Modern speech models handle most accents well, and we measure word error rate on recordings from your own callers. Custom vocabulary for product names, street names and medical terms usually brings the biggest accuracy gain.
Yes. We connect through Twilio, Vonage, Telnyx or directly to your SIP trunk or PBX. The agent can take a dedicated number, answer overflow calls or pick up after hours, and transfer to any extension.
Running cost combines telephony, speech-to-text, the language model and text-to-speech. It varies with the providers and voice quality you choose, so we measure it on test calls and give you a per-minute figure before launch.
It transfers to a person with the transcript and a short summary, or takes a message and creates a ticket outside business hours. We tune transfer triggers so callers are not stuck in loops.
It can be, with the right setup. The agent announces recording and AI use, consent rules follow your region, and transcripts are redacted and stored where you choose. For healthcare we design for HIPAA requirements from the start.
Speech-to-speech models such as GPT-Live or Gemini Live sound very natural and respond quickly. A separate STT, LLM and TTS pipeline gives more control over vocabulary, voice and tool calls. We test both on your intents and often use a pipeline for transactional calls.
Yes, for reminders, confirmations and follow-ups. We build in calling-hour rules, opt-out handling, voicemail detection and retry limits so campaigns stay within regulations such as TCPA where they apply.
You can call a working prototype in 2 to 3 weeks after the call audit. A live pilot on real calls follows 2 to 4 weeks later, depending on the number of systems the agent updates.
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