AI Solutions & Automation

Every call answered. No hold music.

AI voice agents that make and take calls in natural, human-sounding conversation — qualifying leads, booking appointments and answering routine queries around the clock. Built in collaboration with krid.ai.

Why it matters

Missed calls are missed revenue.

After-hours enquiries, peak-time overflow, follow-up calls nobody has time for — voice AI handles them all consistently. Our agents speak naturally, ask your qualifying questions, log everything to your CRM, and escalate to a human the moment a conversation needs one.

What we deliver
  • Inbound call answering with natural conversation
  • Outbound qualification, reminder and follow-up calls
  • Appointment booking synced to your calendar
  • Call transcripts, summaries and CRM logging
  • Smart escalation to your team for hot or complex calls
  • Streaming pipeline tuned for sub-second response
  • Mixed-language handling tested on your real call recordings
  • Warm transfer to human agents with context preserved
Technology Stack

The tools behind the work.

The platforms and technologies we use to deliver AI Voice Agents — enterprise-grade, battle-tested, and chosen to fit your business.

Twilio VoiceElevenLabsDeepgramOpenAI WhisperOpenAI GPTAnthropic ClaudeSIP / TelephonyText-to-Speech (TTS)
How we run it

Voice is unforgiving in a way chat is not.

Text gives you slack — a chatbot taking two seconds to reply is fine. A voice agent taking two seconds sounds broken, and the caller starts saying 'hello?' over it. Voice is the channel where engineering constraints appear directly in the customer experience, which is why we budget latency before we write a single line of script.

Where the seconds go

  • Speech recognition, reasoning, speech synthesis and network — every stage budgeted, not just the model.
  • Streaming throughout: transcription begins while the caller is still speaking, and speech begins before the full response is generated.
  • Natural turn-taking, so the agent knows the difference between a finished sentence and someone pausing to think — and stops instantly when interrupted.
  • A short filler while a lookup runs, because silence is what makes callers hang up.

The Indian-language problem is code-switching

Real conversations are rarely in one language. A caller will mix Hindi and English inside a sentence, use English numerals with Hindi verbs, and switch entirely when frustrated. A system configured for a single language handles the first sentence and degrades from there. We test against recordings of your actual calls on a poor mobile connection, because that is the median call — not a studio sample.

Where voice agents genuinely earn their place

Outbound confirmations and reminders where the script is bounded and volume is high; first-line inbound triage with everything captured before a human picks up; order and delivery status, where the answer is a lookup; and after-hours cover, where the honest comparison is not a person but a voicemail nobody checks.

Deployment

How a voice agent deployment runs.

Week 1 — Use case & recordings

The bounded use case chosen, and real call recordings gathered to test against.

Weeks 2–3 — Build

Pipeline tuned for latency, languages configured, scripts written for the ear rather than the page.

Week 4 — Pilot

A small share of live calls, monitored closely, with the handover path exercised deliberately.

Ongoing — Extend

Call completion, handle time and post-call satisfaction reviewed before any expansion of scope.

FAQ

Frequently asked questions.

Modern voice AI is remarkably natural — pauses, tone and all. We also always disclose it's an assistant and hand off to a human on request.

Yes — voice agents can be configured for English, Hindi and other Indian languages depending on your audience.

Start with the two or three covering most of your call volume and do them properly, including mixed-language speech. Breadth added before quality produces a system nobody trusts.

Yes, at the start. Callers adjust how they speak, which improves recognition, and it avoids the trust problem when they realise anyway.

It escalates, on its own, without requiring the caller to find a magic phrase. Complaints, disputes and vulnerable callers are not efficiency opportunities.

Generally yes. We assess the integration during scoping — the telephony side is usually more straightforward than the language testing.

Next step

Let's put this to work for you.

Tell us what you're trying to grow. You'll get a plan, not a pitch.

Hear a voice agent demo