AI Call Analysis
Every sales call is transcribed, summarised and scored — with sentiment, objections and next steps extracted automatically.
The problem teams live with
Hundreds of sales calls happen every day and a manager can listen to maybe five. So coaching is anecdotal, compliance is a prayer, and nobody knows why a hot lead went cold on the call — the most important data in the funnel is locked inside audio no one has time to hear.
How Sell.Do solves it
Sell.Do transcribes, summarises and scores every call automatically — extracting sentiment, the objections raised, commitments made and the recommended next step, and writing them back to the lead. Managers get QA scorecards and coaching cues without listening to a single recording, compliance teams can flag script deviations across 100% of calls, and representatives walk into the next conversation already briefed. It's powered by purpose-built call-intelligence engines (Convozen, Gemini and OpenAI) under the same tenant scoping and audit controls as the rest of the platform.
AI Call Analysis, step by step
- 1Transcription & summary
- 2Sentiment & objection detection
- 3QA scorecards & coaching
- 4Powered by Convozen, Gemini & OpenAI
Every call transcribed, summarised and scored — sentiment, objections and next step written back to the lead.
Built for the real workflow
- Transcription & summary
- Sentiment & objection detection
- QA scorecards & coaching
- Powered by Convozen, Gemini & OpenAI
Every call, scored and summarised
Minutes after a call ends, Jarvis posts the summary, sentiment and next step to the lead — “buyer hesitant on price, wants a corner unit, send revised cost sheet” — so the representative never re-listens.
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Learn moreFrequently asked questions
All of them. Sampling reproduces the original problem: a manager listens to five calls and coaches from anecdote.
See AI Call Analysis on your own pipeline
Book a 30-minute walkthrough tailored to your projects, team and process.