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Product · Call analytics

Monitor every call, outcome, and cost driver.

Review transcripts, recordings, summaries, sentiment, call duration, disconnect reasons, and credit usage. Track performance across agents, campaigns, and channels — in one call history.

Transcripts + analyticsRecordingsSentimentCredit usage
app.ravan.ai — Analytics · Last 30 days
12,418Total calls
38,204Minutes
3m 05sAvg duration
64%Goals met
SentimentPositive 58 · Neutral 31 · Negative 11
Recent calls
+91 98••• ••412positive2m 41s
Transcript preview

Agent: Aapki EMI 15 June ko due hai — kya aap Friday tak payment confirm kar sakte hain?
Customer: Haan, Friday tak ho jayega, UPI se kar dunga.

+91 90••• ••287neutral4m 12s
+91 78••• ••059negative1m 03s
Post-call intelligence

Every call becomes a structured record.

A phone call used to be the least measurable thing in the business. On Agni, each one produces the same auditable set of fields — automatically.

Transcripts & recordings

Every call is captured as a full transcript with the audio recording alongside it — searchable, reviewable, and exportable through the API.

Summaries

A short, structured summary of what happened on each call — so reviewers scan outcomes in seconds instead of replaying audio.

Sentiment

Per-call sentiment signals show how the conversation felt — useful for spotting friction in scripts, agents, or specific campaign segments.

Dispositions & goals met

Each call closes with a disposition and a goals-met flag, so success rate is a measured number — not a feeling from the team standup.

Duration & disconnect reasons

Track how long calls run and exactly how they ended — completed, transferred, customer hang-up, or network drop — to debug the funnel.

Credit usage

See the credit cost of every call and the burn across agents and campaigns, so finance never meets a surprise at the end of the month.
Performance trends

See what happened — and what to fix.

Dashboards aggregate every call into trends operations teams can act on: volume, success rate, sentiment, and the cost drivers behind your bill.

  • Call volume and minutes over time, across web, inbound, and outbound channels
  • Success rate and goals met by agent — see which configurations actually resolve calls
  • Campaign connect and completion rates, with retry-queue visibility
  • Sentiment trends across languages, scripts, and customer segments
  • Credit usage and cost drivers, broken down by agent and campaign
Goals met by weekSample view
W1W8

Track goals met, connect rates, and credit burn week over week — per agent, per campaign, per channel.

The operations loop

Review. Refine. Redeploy.

Analytics isn't a report you file — it's the feedback loop that makes agents better every week.

01

Review

Filter call history by agent, campaign, disposition, or sentiment. Read summaries, open transcripts, listen where it matters.

02

Refine

Take what you learn back into the Agent Builder — tighten prompts, adjust escalation rules, fix the question customers stumble on.

03

Redeploy

Ship the improved agent to the same numbers and campaigns, then watch the same dashboards confirm whether it worked.

Agent changes happen in the Agent Builder; outcomes flow onward through webhooks and APIs.

FAQ

Call analytics, asked and answered.

Which calls show up in call history?
All of them — web test calls, inbound calls, and outbound campaign calls sit in one call history. Each record carries the transcript, recording, summary, sentiment, disposition, duration, disconnect reason, and credit usage.
Can I export transcripts and recordings?
Yes. Everything in call history is available programmatically — fetch session details over the API, or have completed-call data delivered automatically through after-call webhooks with transcripts, recordings, summaries, and analysis.
How is sentiment measured?
Each call gets sentiment signals derived from the conversation itself. Treat it as an operational lens — a fast way to find calls worth reviewing — and pair it with transcripts and dispositions before drawing conclusions.
What counts toward credit usage?
Call minutes consume plan credits, and every call record shows its own cost so usage is traceable to a specific agent and campaign. Plan inclusions and overage rates are listed on the pricing page.
Can analytics feed our own BI tools?
Yes — call outcomes and session data can be pulled via REST APIs or pushed via webhooks into your warehouse, BI stack, or internal dashboards. Analytics in Agni is a working view, not a data silo.

Make every call measurable.

See call history, transcripts, sentiment, and cost tracking on your own workflows — usually within one business day.

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