Use case · Feedback & CSAT

Collect richer feedback through real conversations.

Agni voice agents call customers after the moments that matter — capturing ratings, listening to open-ended feedback, reading sentiment, and sending structured insights back to your team.

Book a demo Explore call analytics

30+ Indian languagesHinglish native<300msStarting ₹2,999/month

How it works

From service moment to structured insight.

A feedback workflow on Agni closes the loop: a real conversation with the customer, and clean structured data for your team.

1
Design the survey conversation
Define questions, rating scales, and follow-up probes in the agent builder. Set the voice, language, and tone that fits your brand — a conversation, not a keypad menu.
2
Trigger calls at the right moment
Fire surveys through APIs or webhooks after a delivery, support ticket, visit, or service — inside approved calling windows, while the experience is still fresh.
3
Agni asks, listens, and probes
Ratings are captured precisely, and low scores get a gentle follow-up question. Customers explain in their own words, in their own language.
4
Serious issues escalate immediately
A complaint is not a data point. The agent flags it during the call and notifies your team with the full transcript and context attached.
5
Insights land where teams work
Summaries, sentiment, ratings, and verbatim themes flow into your CRM and dashboards as structured fields — not a pile of recordings someone has to replay.

Platform capabilities

Surveys that listen, and data your team can act on.

Each capability is a real platform feature — the agent builder, post-call intelligence, analytics, and webhook delivery working as one workflow.

Voice surveys

Conversational CSAT and NPS-style surveys by phone — customers talk naturally instead of pressing 1 for satisfied.

Ratings capture

Scores are recorded as structured data on every call, consistently — comparable across agents, campaigns, languages, and time.

Open-ended summarization

Post-call summaries condense each conversation into the points that matter, so nobody replays hours of audio to find the insight.

Sentiment analysis

Every call carries a sentiment read alongside the rating — you see how customers felt, not just what number they gave.

Complaint escalation

Serious issues are flagged mid-call and routed to your team with the transcript, so recovery starts in hours instead of next quarter.

Structured insights to teams

Ratings, summaries, sentiment, and transcripts are delivered through webhooks and REST APIs into CRMs, helpdesks, and dashboards.

Market benchmarks

Why feedback in the customer's language wins.

Published market data, cited as benchmarks rather than Agni performance claims. The pattern is consistent: language and cost decide whether feedback programs scale.

68%Of Indian internet users prefer content in their native language — surveys included.Source: IAMAI–Nielsen 2024

90%Of new Indian internet users are non-English speakers — text-only surveys miss most of them.Source: KPMG–Google via IBEF

₹12–25Typical AI cost per resolved contact, versus ₹85–150 fully loaded for a human telecaller.Source: Caller Digital, Acefone

Compliance note

Feedback calls run on the same rails as every regulated workflow.

Survey calls are service communications under TRAI's DLT framework, and DPDP-era consent rules apply to them like any other outreach. Agni runs them with the same controls it applies to collections.

Service-call workflows aligned with DLT 160-series number requirements
Calling-window enforcement on every survey campaign
DND/NCPR scrubbing before outbound lists dial
Consent logging recorded against every contact
Complete call recordings and audit trails for every conversation
Designed for DPDP-era consent management

FAQ

Feedback questions, answered straight.

Why voice surveys instead of SMS or email?

Text surveys capture a score; conversations capture the reason behind it. A voice agent can ask why, probe a low rating, and record the answer as both verbatim text and structured data. It also reaches customers who would never type out feedback — which in India is most of them.

What happens when a customer raises a serious complaint?

The agent stops the survey script, acknowledges the issue, flags the call, and routes it to your team with the transcript and a structured disposition. The complaint reaches a human while the customer still remembers the conversation.

How do results reach our team?

Through after-call webhooks and REST APIs: ratings, summaries, sentiment, dispositions, recordings, and transcripts as structured fields. The call analytics dashboard tracks trends across campaigns, and GoHighLevel is supported natively for CRM workflows.

Can surveys run in regional languages?

Yes — 30+ Indian languages with native Hinglish and 100+ accents & dialects, set per contact. Customers give noticeably richer answers when the question arrives in their own language.

Keep exploring

Related workflows and resources.

Customer supportAnswer common questions from approved knowledge and escalate with context.Appointment schedulingConfirm and reschedule by phone — then follow up with a feedback call.Call analyticsTranscripts, recordings, sentiment, dispositions, and cost in one place.Agent builderConfigure prompts, voices, accents, and behavior for every workflow.PricingPlans from ₹2,999/month, with ₹7/min at Enterprise volume.ROI calculatorCompare the cost of AI survey calls against manual outreach in INR.

Hear what your customers actually think.

See a live voice survey — ratings, follow-up probes, sentiment, and structured outcomes — built on your own questions.

Talk to sales View API docs

or call our AI agent directly+91 11 4056 6601Available 24/7 · Hindi, Hinglish, EnglishChat on WhatsApp

Book a demo