Use case · Customer support

Answer common customer questions without increasing support headcount.

Connect Agni to your support knowledge base so AI agents answer FAQs, explain policies, collect context, and escalate complex calls to human teams — every conversation logged with a transcript and summary.

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30+ Indian languages100+ accents & dialects<300msStarting ₹2,999/month

Why voice support

Your customers call. In their language.

Published market benchmarks — not Agni performance claims — on why phone support in Indian languages is where the volume actually is.

68%Of Indian internet users prefer content in their native language over English.Source: IAMAI / Nielsen 2024

90%Of new Indian internet users are non-English speakers — support queues only get more multilingual.Source: IBEF / KPMG-Google

₹85–150Fully loaded cost of a human telecaller call, versus ₹12–25 per AI-resolved contact reported across the market.Source: Caller Digital / Acefone

How it works

From first ring to resolution — or a clean handoff.

A typical inbound support workflow, end to end, exactly as the agent runs it.

01
A customer calls your support line
Your inbound number routes to a specialized support agent — with business-hour rules, active days, and concurrency limits you control. No IVR maze, no hold music.
02
The agent answers instantly, in the caller's language
The call is picked up on the first ring in Hindi, Hinglish, English, or any of 30+ Indian languages, switching mid-call if the customer does. Sub-300ms responses keep the conversation natural.
03
Answers come from your approved knowledge
FAQs, policies, product details, and pricing live in knowledge bases assigned to the agent. It retrieves the relevant content in real time and answers from your material — not generic AI guesses.
04
The agent takes action mid-call
Custom functions let the agent call your backend during the conversation — look up an order, check an account status, or book a follow-up appointment via Cal.com — and continue with the live data.
05
Complex calls escalate to humans, with context
When a call needs a person, the agent transfers it to the right team with the issue already summarized. Every call — resolved or escalated — ends with a transcript, summary, sentiment, and disposition.

Capabilities

First-line support, built from platform features.

Everything the support workflow uses is standard Agni — configured per agent, no custom build required.

Inbound support routing

Assign phone numbers to specialized agents with schedules, active days, and concurrency limits. Run multiple support lines on different numbers simultaneously.

Knowledge-based answers

Attach FAQs, policies, product specs, and pricing to each agent. Answers come from business-approved content, retrieved in real time during the call.

Escalation with context

Static or dynamic transfer routes complex calls to the right human team — with the conversation context attached, so customers never repeat themselves.

Call summaries and sentiment

Every conversation produces a transcript, a concise summary, sentiment classification, and a disposition — so supervisors review outcomes, not raw audio.

CSAT follow-up calls

Close the loop with outbound feedback calls after resolution — capture ratings and open-ended feedback as structured data your team can act on.

Helpdesk and system sync

After-call webhooks deliver transcripts, summaries, and outcomes into your helpdesk or internal tools; the REST API covers everything else.

Compliance

Support calls your audit team can review.

Service calling in India has its own rules. Agni ships the workflow controls — as product features enforced in the calling flow, not paperwork.

DLT template workflows supported (160-series for service calls)
Consent logging and AI-call disclosure in the agent's opening
Complete call recordings and audit trails for quality review
Designed for DPDP-era consent management — including notices in regional languages
Access controls and post-call review workflows for supervisors

These are workflow features, not certifications. For the full security and data-handling posture, visit the Trust Center.

FAQ

Common questions about AI support agents.

Where do the agent's answers come from?

From knowledge bases you assign to the agent — uploaded documents, FAQs, product specs, policies, and pricing. The agent retrieves relevant context in real time during the call and answers from that approved content. Plans include 2, 5, or 15 knowledge bases depending on tier.

What happens when the agent can't resolve an issue?

It escalates instead of improvising. You configure transfer rules per agent — a fixed number for your support desk, or dynamic routing that fetches the right team at runtime. The human picks up with the issue already collected and summarized, and the full transcript is logged either way.

Can it handle many calls at the same time?

Yes — that's the point of putting AI on the front line. Concurrency is set by plan (5, 15, or 25 concurrent calls on Starter, Growth, and Scale; custom on Enterprise), and you can run multiple inbound agents on different numbers simultaneously. Peak hours stop being a staffing problem.

How do supervisors review what was said?

Every call produces a transcript, summary, sentiment score, duration, and disconnect reason, filterable by agent and date in the analytics dashboard. Call recordings with long-term retention and audit trails are available on Enterprise plans.

More questions? See the full FAQ or talk to sales.

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