AI voice agents that answer, act and know when to hand over

Futurelab designs and builds AI voice agents for contact centres and customer teams. They answer inbound calls, book appointments, qualify leads and place reminder calls in Indian English, Hindi and code-mixed speech, act in your CRM and telephony systems, and hand over to a person with a call summary.

AI voice agents

We design and build AI voice agents for call centres and customer teams: they pick up every call, understand Indian English, Hindi and code-mixed speech, get the routine done and pass the rest to a person with the context attached.

Futurelab Studios: OpenAI Select Partner · Claude Partner Network

Trusted by teams at PepsiCo · ITC · SBI · Syngenta

Trusted by teams at

  • PepsiCo
  • ITC
  • SBI
  • Syngenta

Start with the calls that repeat all day.

A good first voice agent takes one kind of call that comes in or goes out in volume, follows a clear script and has a clean way to hand over. Pick one to see how it runs.

Inbound: Customer support line

Answers order, delivery and account questions from your systems, resolves the routine ones and routes the rest to the right team with a summary.

Bookings: Appointments and scheduling

Books, reschedules and confirms appointments against a live calendar, and sends the confirmation by SMS or WhatsApp.

Sales: Lead qualification

Calls new enquiries within minutes, asks the qualifying questions, and books a meeting with a salesperson for the leads that fit.

Outbound: Reminders and follow-ups

Places reminder, renewal and feedback calls at scale, records the outcome against each customer and flags anyone who needs a person.

Built on the same parts as our own products.

A voice agent listens, looks things up and writes the record. Futurelab already builds products that do each of these; status is shown as it stands today.

VoiceEasy: AI-Powered Voice Assistant and Speech-to-Text Tool

Multi-language speech to text and voice commands: the listening layer of a voice agent.

ChatEasy: AI-Powered RAG-Indexed Chatbot for Orgs

Answers from your own documents and policies, so a voice agent says what is approved and nothing else.

MeetEasy: AI-Powered Meeting Assistant for Transcriptions & Summaries

Transcribes conversations and turns them into summaries and action items, as a voice agent does after every call.

Answer every call, without lowering the bar.

A voice agent is worth building when it takes repetitive calls off your team and gives callers a faster, clearer answer than a queue or an IVR menu.

No more missed calls

Calls are answered at once, day and night and at peak hours, instead of waiting in a queue or ringing out.

Your team on the hard calls

Routine questions and bookings are handled end to end, so agents spend their time on complaints, sales and judgment calls.

Every call on record

Each conversation is transcribed, tagged and summarised in your CRM, so you can see why customers call and what to fix.

A person is always one sentence away Every voice agent we build knows its limits. When a caller is upset, the question is out of scope or the stakes are high, it hands over to a human, with the call summarised so nobody has to repeat themselves.

What goes into a production voice agent.

A demo that talks is easy. A voice agent that callers trust needs these four pieces designed together, then tested on real calls before it goes live.

Listening and speaking

Fast, natural conversation in the languages your callers use.

  • Indian English, Hindi and code-mixed speech
  • Regional languages where the models support them
  • Low-latency replies and natural interruptions
  • A voice and tone that fits your brand

Grounded answers

Replies drawn from your approved policies, products and data.

  • Connected to your FAQs, policies and catalogue
  • Live lookups for orders, accounts and bookings
  • Says so when it does not know
  • No promises outside what policy allows

Getting things done

The systems the agent can read from and write to, each with scoped access.

  • CRM, helpdesk and calendar integrations
  • Telephony and contact-centre platforms
  • SMS and WhatsApp confirmations
  • Every action logged against the call

Handover and oversight

Clear rules for when a person takes over, and a way to check quality.

  • Warm transfer with a call summary
  • Consent, recording and data rules agreed up front
  • Quality review on a sample of calls
  • Dashboards for volume, resolution and handovers

From one call type to a live voice agent.

Four steps, each with a clear output, so you can hear the agent before you commit to it.

  1. Pick the call

    Choose one high-volume call type, map how your best people handle it today and agree what success means.

    You get: A scoped call flow and success measures

  2. Build and listen

    Design the conversation, connect the systems it needs and build a working agent you can call yourself.

    You get: A voice agent you can phone and test

  3. Test with real callers

    Run it on a share of real calls with people listening in, and tune it on accents, edge cases and handovers.

    You get: An evaluation on real calls

  4. Go live and improve

    Launch with monitoring, a human fallback and a regular review of calls, then extend to the next call type.

    You get: A live agent with owners and reporting

  • 50+ AI deployments delivered
  • 75+ organisations, from FMCG to finance
  • 20,000+ professionals trained by Futurelab

Frequently asked questions

What is an AI voice agent?

An AI voice agent answers or places phone calls and holds a natural conversation. It understands what the caller wants, looks up or updates information in your systems, completes routine requests and hands over to a person when it should.

Can AI voice agents speak Hindi and other Indian languages?

Yes. Current speech models handle Indian English, Hindi and the code-mixed speech many callers use, and support a growing number of regional languages. We test with real callers in your languages before launch, because accents and vocabulary vary by region and sector.

Will an AI voice agent replace our call centre team?

It takes the repetitive calls, such as status checks, bookings and reminders, so your team can focus on complaints, sales and complex cases. Every agent we build hands over to a person with a summary when a call needs one.

Which systems can a voice agent connect to?

Usually your telephony or contact-centre platform, CRM or helpdesk, calendars and order or account systems, plus SMS and WhatsApp for confirmations. Each connection gets only the access the agent needs.

How is an AI voice agent different from an IVR?

An IVR makes callers press numbers through a fixed menu. A voice agent lets them say what they need in their own words, understands it, and can complete the request on the call instead of only routing it.

How do you handle call recording, consent and data privacy?

We agree consent messages, recording, retention and data access with your legal and security teams before launch, in line with India’s data protection rules and your sector’s requirements. Agents only see the data their job needs.

Scope a voice agent with our team.

Tell us which calls fill your team’s day and how they are handled now. We will come back with a practical view of what a voice agent could take on first.