The moment a call ends, Zoice writes the summary, scores the sentiment, extracts the fields you defined, and checks whether the objective was met. Dashboards aggregate the trends — and "Ask Anything" lets you query it all in plain English.
Call report
Outbound · 4m 12s
AI summary
Customer asked about a delayed delivery; the agent shared live tracking, captured a preferred callback window, and confirmed the address change.
Extracted fields
callback_window: "Sat 11:00–13:00"
order_id: "ZB-4821"
address_updated: true
No analyst backlog. The data is structured, scored, and queryable the moment each conversation ends.
Every conversation gets an AI summary, a sentiment verdict with score, structured extraction fields, and objective achievement results — plus a downloadable PDF call report and transcript. Tokens and latency are logged per message.
Org-level Overview, Inbound, Outbound, and Sentiment tabs roll calls into dialing, contact, and engagement trends — with best-time-to-call windows and the top keywords driving conversations.
Type a question about your call data in plain English and AI answers from the data itself — scopable by campaign, date range, and call type. No query builder, no SQL.
Compare agent performance side by side, run A/B experiments pitting two agent variants on conversion, cost, and sentiment — then promote the winner. Export campaign-level sentiment segments and objectives to CSV.
From a single call's transcript to org-wide experiments — one connected data layer.
AI summary, sentiment verdict + score, structured extraction fields, and objective achievement results on every call — with a PDF call report and transcript download a click away.
Overview, Inbound, Outbound, and Sentiment tabs roll every conversation into dialing, contact, and engagement trends across your whole organisation.
See when your contacts actually pick up and which keywords dominate conversations — so campaigns dial at the right hour and scripts address what customers really say.
Natural-language questions over your call data, answered by AI — scoped to a campaign, a date range, or a call type. The deep dive below shows it in action.
Every call gets a voice-quality score weighted across latency, interruptions, silence, and talk-balance — plus p95 turn latency and per-message token and latency logging.
Every conversation shows its cost in ₹ with a per-minute breakdown, so you know what each outcome costs — plan rates live on the pricing page.
NPS and CSAT surveys, 0–100 contact health scores, churn-risk alerts, and journey timelines turn call data into an early-warning system for every relationship.
Pit two agent variants against each other on conversion, cost, and sentiment — then promote the winner. Agent performance comparison shows who is improving, side by side.
Conversations are tagged automatically, and campaign-level sentiment-segment and objectives exports ship as CSV — ready for your BI stack or a Monday-morning review.
Pick a question below to see how the panel behaves — in the product, answers come from your own calls.
Pick a question to see how AI answers from your call data — scoped by campaign, date, and call type.
Voice quality
87 / 100
Weighted: latency · interruptions · silence · talk-balance
p95 turn latency
1.18 s
Tokens and latency logged per message
Contact health
72 / 100
Churn-risk: low · NPS captured
Positive sentiment
64%
All campaigns · last 30 days
Illustrative values — your dashboard shows live data from your own calls.
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Summaries, sentiment, costs, and experiments — structured and queryable the moment each conversation ends.