Voice AI Agents for India

What is a Voice AI Agent?

A Voice AI Agent handles phone conversations the way a human telecaller would, listening, understanding intent in real time, responding in natural speech, and acting on outcomes like qualifying a lead, booking an appointment, or closing a sale. In India, production-grade Voice AI Agents handle Hindi, Hinglish, Tamil, Telugu, Kannada, Marathi, code-switching, interruptions, CRM integrations, and human handoff for the cases that need one. SquadStack runs 40 lakh Voice AI Agent calls a day for India's largest consumer brands, at 3x lower CAC than human teams.

How do SquadStack Voice AI Agents work?

Every SquadStack call runs through a five-layer pipeline: ASR converts speech to text with sub-200ms latency, an NLU layer detects intent and sentiment, the dialogue engine generates the next response using SquadStack's proprietary LLM fine-tuned on 600 million minutes of Indian call center audio, a TTS layer converts the response to natural speech, and a telephony layer manages the call with SIP integration. The entire round-trip from hearing the caller to responding takes under 800 milliseconds. If the Voice AI Agent detects a scenario outside its scope, it hands off to a human agent with fu

Which Indian languages does your Voice AI Agent support?

SquadStack Voice AI Agents speak Hindi, English, Hinglish, Tamil, Telugu, Kannada, Marathi, Bengali, Gujarati, and Malayalam, with native code-switching. The speech models are trained on 600 million minutes of real Indian contact center audio, so the AI handles mid-sentence language switches the way your best agent does. Voice quality benchmarks at 4.85 MOS with sub-800ms latency across all supported languages.

How do you handle RBI, TRAI, and DPDP compliance for BFSI deployments?

SquadStack is ISO 27001:2022, ISO 27701, SOC 2 Type II, DPDP-compliant, and undergoes annual third-party audits. For BFSI clients like Kotak Securities, AngelOne, and TATA AIG, the platform enforces TRAI DND and time-window rules, records and stores calls per RBI guidelines, masks PII end-to-end, and supports on-prem or VPC deployment for institutions that require data residency. Consent capture, opt-out handling, and audit trails are built into every campaign configuration.

How fast can we get a pilot running?

Most enterprise pilots go live in 2 to 3 weeks, tested against your real campaign data and current human agent benchmarks. Our POC success rate is 93% compared to an industry average of 25%, so the pilot question isn't whether it works, it's how fast it scales.

Is building voice AI in-house cheaper than using SquadStack?

It looks cheaper in year one, which is why many teams start there, but the hidden costs hit within 12 to 18 months. Indian-language speech models, sub-500ms latency at scale, and QA infrastructure for thousands of concurrent calls each need a team most consumer brands don't have, pulling engineers off revenue work. By the time an in-house build reaches production quality, SquadStack has already delivered the outcome.

How is a Voice AI Agent different from IVR or chatbots?

Traditional IVR forces callers through keypad menus. Chatbots require typing. A Voice AI Agent holds a natural two-way phone conversation, understands intent in real time, adapts the flow mid-call, switches languages, handles interruptions, and takes actions like booking appointments or sending payment links. SquadStack Voice AI Agents handle 40 lakh calls a day where IVR and chatbots would fail. The result: 70 to 90% lead connectivity vs sub-30% on IVR menus.