A transcript archive nobody reads isn't intelligence — it's a graveyard. Lira automatically summarizes, scores and tags every call and chat, so what actually happened is visible at a glance across thousands of conversations.
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Conversation intelligence automatically processes every call and chat transcript to extract a summary, a sentiment score, an intent classification, and any qualification data defined for that agent — turning raw conversation data into structured, searchable insight your team can act on without reading every transcript individually.
Every call and chat gets a concise summary the moment it ends.
Know which conversations went well and which need a closer look, without listening to every one.
Automatically classify what a conversation was actually about.
Search across every conversation by keyword, outcome or tag.
See how sentiment and intent trends shift over time or by campaign.
Spot-check agent performance across a sample of tagged conversations.
See which qualified leads are genuinely warm based on sentiment, not just a checkbox.
Identify negative-sentiment conversations for review without listening to every call.
Surface recurring themes in customer conversations at scale.
It surfaces what's worth a closer look — for quality assurance or dispute review, the full transcript and recording are always available.
Yes, intent tags are configurable to match categories relevant to your business.
Every new account starts with 100 free tokens — enough to build and test-call your first agent before spending a rupee.
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