AI Voice Agent Development
Voice agents that answer calls, book appointments and qualify leads, in the languages your customers actually speak.
OZRIT builds AI voice agents for inbound support, outbound follow-up and appointment booking. They talk naturally, act on your systems during the call, and hand over to a person with the full context when a call needs one.
Tell us what you need
A consultant replies within one business day. No sales deck.
- 17+years building softwareFounded in Hyderabad in 2009
- 500+in-house engineersFull-time, not freelancers
- ISO/IEC 27001:2022certifiedFor information security
- 98%client retentionLong-term partnerships
AI voice agents, explained
A voice agent is not a phone menu with a better voice. It gets the thing done before the call ends.
An AI voice agent combines speech recognition, a language model and speech synthesis, wired into your business systems. It can pick up a call, understand a request in natural speech, look up an account or a calendar, take an action and confirm it, all in a conversation that feels like talking to a person.
The hard part of voice AI is not the voice. It is latency, interruptions, noisy lines, accents, mixed languages and the moment a caller says something unexpected. OZRIT engineers for these cases from the start, with fast streaming pipelines, turn-taking that lets callers interrupt, confidence checks and a smooth route to a human agent.
Most teams start with one call type that is high in volume and easy to define, such as appointment booking, order status or lead qualification. We prove it on recorded calls, run it alongside your staff, then widen what it handles.
- Inbound call handling
- Outbound calling and follow-up
- Speech recognition and synthesis
- Multilingual conversations
- Natural turn-taking
- Actions during the call
AI voice agent development services
The speech, the language understanding and the business connections, built as one working system.
Inbound call handling
Answer calls instantly, resolve routine requests and route the rest to the right team or person.
Outbound calling and follow-up
Reminders, confirmations, feedback calls and lead qualification, with compliance rules built in.
Speech recognition and synthesis
Accurate transcription and natural voices tuned for your callers, accents and background noise.
Multilingual conversations
Support Indian and international languages, including callers who switch languages mid-sentence.
Natural turn-taking
Low-latency streaming so callers can interrupt, pause and speak naturally without awkward gaps.
Actions during the call
Read and update your CRM, calendar, order system or ticketing tool while the caller is still on the line.
Escalation to human agents
A warm transfer with a transcript and summary, so callers never have to repeat themselves.
Call analytics and quality review
Transcripts, summaries, outcomes and flagged calls, so you can measure and improve what the agent does.
How we build a voice agent
From call recordings to a live agent your team can monitor.
Build and prove
First voice agent in 4 to 8 weeks
- 1
Study your calls
We review recordings and scripts to learn what callers ask, how they phrase it and where calls go wrong.
- 2
Design the conversation
We map the call flow, the actions the agent may take and the cases it must hand over.
- 3
Build the voice pipeline
We connect speech recognition, the language model and synthesis, tuned for speed and your languages.
- 4
Connect your systems
We link the CRM, calendar and telephony so the agent can act during the call.
- 5
Test on real calls
We replay recorded calls and run supervised live calls, measuring accuracy, latency and hand-offs.
- 6
Launch and tune
We go live on one call type, review transcripts weekly and widen coverage as results hold.
AI voice agent use cases
Where voice agents are most useful today.
Appointment booking
Clinics, salons, service centres and consultancies take and confirm bookings around the clock.
Customer support
Order status, account queries and routine issues are resolved without a queue.
Lead qualification
New enquiries get a call within minutes, with qualified leads passed to sales with notes.
Collections and reminders
Payment and renewal reminders delivered politely, with options to pay or reschedule.
Surveys and feedback
Post-service calls collect structured feedback at a scale email rarely reaches.
Internal helpdesk
Staff call a number for IT, HR or facilities questions and get answers or raised tickets.
AI voice agent development for your industry
The same build applies across sectors, but the data, rules and risks differ. These are the industries where we are asked for it most.
Healthcare app development
Record summaries, triage support, scheduling and personalised plans for providers and health-tech teams.
Fintech app development
Fraud signals, credit scoring, document checks and support assistants for lenders, payments and banks.
Retail and eCommerce app development
Product search, recommendations, demand forecasting and support assistants for stores and marketplaces.
Logistics app development
Route planning, ETA prediction, proof-of-delivery checks and exception alerts for fleets and supply chains.
Education app development
Tutoring assistants, content generation, assessment help and engagement analytics for learning platforms.
Real estate app development
Lead qualification, property search, valuation support and document handling for developers and brokers.
The technology behind our voice agents
Speech, language and telephony components are chosen for latency, accuracy in your languages and cost per minute.
Speech and voice
Recognition and synthesis
- Whisper
- Deepgram
- Google Speech-to-Text
- Azure Speech
- ElevenLabs
- Amazon Polly
Telephony and real-time
Calls and streaming
- Twilio
- Exotel
- Plivo
- WebRTC
- SIP
- WebSockets
Models
Chosen per task, cost and privacy need
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Meta Llama
- Mistral
- Hugging Face models
Cloud and deployment
In your cloud account or ours
- AWS Bedrock and SageMaker
- Azure OpenAI and ML
- Google Vertex AI
- Docker
- Kubernetes
What decides the cost of a voice agent
Voice agents have a build cost and a per-minute running cost, and we estimate both up front.
Call types covered
Each call type needs its own flow, tests and integrations.
Languages and accents
Every language adds tuning and test calls, and some need specialised models.
Systems connected
CRM, calendar and order-system actions add integration work.
Call volume and minutes
Speech, model and telephony charges scale with how long the agent is on calls.
Compliance and recording
Consent, recording, retention and calling-hour rules affect design and hosting.
Quality assurance
Review of transcripts and ongoing tuning is agreed as a monthly plan.
Security and privacy in AI voice agent development
A security or compliance team will ask where the data goes, who can see it and how quality is checked. These are the safeguards we build into every project.
Where your data lives
Models can run in your own cloud account or on private endpoints, with provider settings that stop your data being used for training. You choose the region.
Access control
Assistants respect the permissions of the person asking. Someone who cannot open a document cannot get its content through a chat window either.
Testing before launch
We build an evaluation set from your real cases and measure accuracy, safety and cost before and after every change, not just once at launch.
Certification and ownership
OZRIT is ISO/IEC 27001:2022 certified for information security. You own the code, prompts, models you commission and your data.
All eight AI safeguardsCertifications and AI frameworks we work to
AI voice agent development: frequently asked questions
Straight answers on cost, timelines, data, security and ownership.
What is an AI voice agent?
An AI voice agent is software that holds a spoken conversation using speech recognition, a language model and speech synthesis. Unlike a phone menu, it understands natural speech and can take actions in your systems during the call.
How is an AI voice agent different from IVR?
IVR makes callers press keys or say fixed phrases to move through a menu. A voice agent understands free speech, asks follow-up questions and completes the task, so callers do not have to navigate menus at all.
How much does AI voice agent development cost?
The cost depends on call types, languages, systems connected and call volume. There is a build cost and a running cost per minute of calls. A discovery sprint from $1,000 tests the idea on your recordings and ends with a scoped quote.
How long does it take to build a voice agent?
A first voice agent for one call type usually takes 4 to 8 weeks, including testing on recorded calls. More languages or integrations add time, which we plan with you before starting.
Which languages can a voice agent speak?
We build for English and for Indian and international languages, including Hindi, Telugu, Tamil and others, subject to the quality of the speech models available. We test on your callers' real speech before committing.
Can a voice agent transfer to a human?
Yes. The agent transfers when a caller asks, when confidence is low or when the topic is on your escalation list. The person receives a transcript and summary, so the caller does not repeat themselves.
How do you handle noisy lines and accents?
We test on real call audio, choose speech models that cope with your callers, add confirmation steps for critical details such as numbers and names, and measure accuracy by call type before going live.
Is call recording and data handling compliant?
We design for consent prompts, retention limits, masking of sensitive details and region-specific hosting. Compliance depends on your sector and location, so we agree the rules with your legal team and build them in.
Can the agent make outbound calls?
Yes, for reminders, confirmations, feedback and lead follow-up. Outbound calling is subject to local rules on consent and calling hours, which we build into the workflow.
Can it connect to our CRM and calendar?
Yes. The agent can read and update your CRM, calendar, order system or ticketing tool during the call, through APIs, so bookings and notes appear where your team already works.
Plan your voice agent
Tell us the calls you want handled and send a few recordings if you can. We will say what a voice agent could take on and what a first release would involve.
What happens next
- 1An AI consultant reads your note and may reply with a few questions.
- 2We hold a call to understand the problem, your data and the systems involved.
- 3If AI fits, we propose a discovery sprint or a scoped pilot with clear success measures.