Voice Agent Development
Production AI voice agents that listen, understand, and reply in fluent Malayalam, Hindi, or English — handling appointment reminders, lead qualification, feedback calls, and payment follow-ups for Indian businesses. Built on Pipecat + Gemini 2.5 Flash + Exotel.
What this service covers
- Telephony provisioning — Exotel for India, Twilio for global
- Voice AI build — Pipecat orchestration + Gemini Flash native audio (or Sarvam for Indic-only)
- Conversation design — call flow, persona, language rules, escalation triggers
- Integration layer — calendar, CRM, customer database, payment systems
- Call logging and analytics — structured summaries, sentiment, action items
- Multi-language support — code-switching across English, Hindi, Malayalam, Tamil
- Compliance setup — call recording, consent flows, DPDP-ready storage
Use cases we ship most often
- Outbound customer feedback calls with Google review asks
- Appointment reminders with live confirm/reschedule
- Inbound lead qualification with auto-callback within 30 seconds
- Meeting reminders for networking groups, alumni associations, professional bodies
- Payment collection follow-ups — polite, multilingual, non-aggressive
- Outbound surveys and NPS calls at scale
Why this stack
Gemini 2.5 Flash with native audio is genuinely best-in-class for Indian voice deployments in 2026. One model handles listening, reasoning, and speaking — no separate STT/LLM/TTS layers. Latency dropped below 400ms; voice quality jumped from "obviously a robot" to "is this even a bot?" Combined with Pipecat's mature audio pipeline and Exotel's Indian telephony, the stack delivers production reliability at SMB-friendly prices.
For Indic-only use cases where Sarvam's voice quality is a closer fit and cost matters most, the same Pipecat orchestration runs on Sarvam STT + Sarvam LLM (free) + Sarvam Bulbul TTS. Architecture stays consistent.
What makes this different
Most voice AI vendors sell platform subscriptions. We design and ship the conversation flows, escalation logic, and integrations that determine whether a voice agent feels usefully invisible or annoyingly robotic. Conversation design is 70% of the work, and that's where most voice agent projects fail.
The technology is now good enough that quality of conversation design is the differentiator. A bad voice agent is annoying. A good one is invisibly useful. The gap between them is design, not technology.
Tools and resources
- Voice AI Cost Calculator — model your specific call volume across six platforms
- Voice Agent Cost Comparison India 2026 — full platform comparison post
- Building an AI Voice Agent with Gemini Flash — how the stack works
Engagement structure
- Week 1 — Assess. Define call goal, conversation flow, escalation rules. Get sample customer data.
- Week 2 — Roadmap. Build prompt library, integrate with your systems, set up Exotel.
- Week 3 — Implement. Test with internal volunteers, tune prompt, catch edge cases.
- Week 4 — Pilot. Run on a small batch of real customers, review every call, adjust.
- Week 5+ — Accelerate. Scale to full volume. Monitor weekly. Iterate as patterns emerge.
Frequently asked questions
What does a voice agent engagement include?
End-to-end design and delivery: telephony provisioning (Exotel/Twilio), conversation design, voice AI build (Pipecat + Gemini Flash native audio, or Sarvam for Indic-only), integration with your calendar/CRM/database, call logging, and tuning during pilot. Typical 4–6 weeks to production.
Which voice AI stack do you use?
Default production stack: Pipecat for orchestration, Gemini 2.5 Flash native audio for voice AI, Exotel for India telephony. For Indic-only deployments where cost matters more than English voice quality, we swap Gemini for Sarvam AI (free LLMs, ₹30/hr STT, ₹30/10K characters TTS). Stack choice is part of the Roadmap stage.
How much does it cost to run?
For a business making 100 calls/month at 2–3 minutes each: roughly ₹2,500–3,500/month all-in. Breakdown: Gemini API ~₹15–25 per call, Exotel ₹2–3 per call, hosting ₹500–1,500/month. Indic-only deployments using Sarvam are cheaper still. The voice AI cost calculator on this site lets you model your specific volume.
What does the build cost?
Engagements vary by scope. Indicative ranges: single bot with one call flow from ₹2L+. Multi-bot deployment with shared prompt library and CRM integration from ₹4L+. Enterprise voice with compliance recording, multiple channels, and governance from ₹10L+. Roadmap stage produces a firm estimate before any build commitment.
Which use cases work best for voice AI?
Six high-ROI patterns: outbound feedback calls, appointment reminders with confirmation (drops no-show rate 30–50%), inbound lead qualification with auto-callback, meeting reminders for networking groups, payment collection follow-ups, and outbound surveys. Pattern: goal-driven calls with a defined objective, not open-ended chats.
Can the agent speak Malayalam, Hindi, Tamil, or code-switch between languages?
Yes. Both Gemini 2.5 Flash and Sarvam AI handle Indic languages well, including code-switching mid-sentence (very common in Kerala). The agent detects the customer language from their first response and mirrors it. For Malayalam-heavy deployments, Sarvam is the better pick.