AI voice agent

An AI voice agent is a pipeline, not a single model. Audio from the phone line is streamed to a speech-to-text engine, the transcript goes to a language model that decides what to say and which tools to call (look up an order, check a slot, log a ticket), and the reply is rendered back to audio by a text-to-speech engine. Around this sits telephony (SIP or a provider such as Twilio or Exotel), a turn-taking controller that handles interruptions and silence, and a policy layer that decides which actions the agent may take on its own.

It is not an IVR. An IVR walks callers through a fixed menu; a voice agent lets the caller say what they want in their own words and language and works out the intent. It is also not the same as a text chatbot with a voice wrapper: the constraints of real-time audio, sub-second latency, barge-in, accents and noisy lines make the engineering materially harder.

A production voice agent is judged on containment (calls finished without transfer), task completion, and how gracefully it hands off to a human with context when it cannot help.

• Founder / CEO: phone is still the highest-intent channel for bookings, collections and support in India; a voice agent answers every call at 2 a.m. without adding headcount.
• Support manager: it absorbs repetitive call types (status, reschedule, balance) so human agents spend time on calls that need judgement.
• CTO: it is a real-time distributed system with strict latency budgets; the choice of ASR, LLM and TTS vendors and the ability to swap them matters more than any single model.
• Compliance officer: recording, consent and data-retention rules apply to every call, and the agent must announce itself and stop when asked.

Contact centres cannot staff for peaks, nights or twenty Indian languages, and callers abandon IVR menus by pressing zero. A voice agent exists to give a natural, always-available first line that resolves the routine majority and routes the rest. The trade-off is cost per minute and the engineering effort to keep latency, accuracy and safety in check; a badly built agent that misunderstands or talks over callers damages trust faster than a menu ever did. Eazyware's stance is to run new agents in shadow mode and gate risky actions behind policy before letting them act alone.

• Hospital front desk answering appointment, timing and department questions in Hindi, Kannada and English, and booking slots into the HIS.
• NBFC payment-reminder and collections calls that confirm identity, state the due amount and take a promise-to-pay within RBI conduct rules.
• Logistics customer line giving live shipment status and rescheduling a delivery attempt.
• Clinic and salon no-show reduction: reminder calls with in-call rescheduling.
• University admissions helpline handling fee, deadline and document queries during peak season.
• Retail order-status and returns-initiation line during festive sale periods.

ConceptA category of product rather than a single skill. Building one needs telephony, streaming ASR/TTS, LLM orchestration and evals expertise. Eazyware delivers these under the Voice Agents service, typically starting with ProofRun on real call recordings.

Eazyware service that covers it: AI Voice Agents (multilingual). Starting prices are on the pricing page.