AI Call Analysis: How to Analyse Sales Calls, Tools and Prices

AI call analysis turns a recorded sales call into a transcript, a short summary and tags such as objections, competitor mentions and the agreed next step, usually within minutes of the call ending. An Indian team can get it built into a business-calling app (TalkEasy Pro, ₹999 a month plus GST), as a higher tier of a cloud phone system (CallHippo adds call summaries on its ₹3,800-per-user Ultimate plan, billed yearly), or from a conversation-intelligence platform such as Convin or Gong, which quote on request.

It is the part of call analytics that deals with what was said rather than how many calls came in. If you are weighing a full platform such as Gong against transcription alone, see conversation intelligence vs call transcription. Whichever tool you pick, test it on 20 of your own recorded calls first: Hindi and Hinglish calls are where tools are most likely to differ.

What AI can pull out of a sales call

Reliable enough for daily use, after a quick check against the recording:

• the customer's requirement, in one line
• questions the customer asked
• objections, in the customer's words
• competitors mentioned
• the next step, with owner and date
• the outcome, from a fixed list such as Interested, Needs time, Booked, Not interested

Useful as a hint, not a verdict: sentiment ("customer seemed unhappy"), buying-intent or lead scores, and "followed the script" scores. These are judgements, so use them to decide which calls to open, not to rate people.

How to analyse sales calls with AI: 5 steps

1. Put sales calls on one recorded number. AI can only analyse calls it can hear. Recordings scattered across staff's personal phones are hard to collect, while a shared business number records every call in one place whoever answers.
2. Decide what you want from every call. Six fields cover most sales teams: requirement, budget, timeline, objections, next step and outcome. Our call summary template shows the format.
3. Turn on recording, summaries and insights, and announce the recording at the start of every call.
4. Run the 20-call accuracy test below before anyone acts on the output.
5. Use it on a schedule. Callers check their own summaries after each call and send what they promised. Once a week, the manager filters calls with objections or competitor mentions for the weekly call audit.

Hindi, Hinglish and regional-language calls

Most vendors publish a language list, but few say how they handle Hinglish, where one sentence mixes Hindi and English. What each vendor says:

• Convin: 70+ languages on its own transcription model, including Hindi, Tamil, Telugu, Marathi, Bengali, Gujarati, Kannada and Malayalam.
• Gong: more than 70 languages, including Hindi (India).
• Fireflies: 100+ languages, including Hindi and "Hindi (Latin)", meaning Hindi written in Roman script.
• Salesken: its blog says it supports multilingual transcription and analysis, naming Hindi among the languages reps speak.
• Google Pixel Call Notes: Hindi and English on Pixel 10 phones in India, but the summaries are written only in English.

A language on a list is not proof it handles your calls. On Indian sales calls, the trouble spots are rupee amounts, dates, locality names, English product words inside Hindi sentences, and crosstalk on a weak mobile signal. That is what the test below is for. To check transcript accuracy on its own, use our 20-minute Hinglish transcription test.

The 20-call accuracy test

Pick 20 recent recorded calls: 10 in Hinglish or your regional language, 5 where a price or amount was discussed, and 5 with an objection or competitor. For each call, compare the AI output with the recording.

AI CALL ANALYSIS: 20-CALL ACCURACY TEST
Tool: ______   Tested by: ______   Dates: ______
Mark each item Y (correct), N (wrong), M (missing) or - (not in the call)

Call  Language  Requirement  Amounts/dates  Names/places  Objection  Next step  Outcome
1     ______    __           __             __            __         __         __
2     ______    __           __             __            __         __         __
...
20    ______    __           __             __            __         __         __

Our suggested pass marks (share of calls where the item came up)
Amounts and dates correct ... 95% (a wrong amount becomes a wrong quote)
Next step correct ........... 90%
Requirement correct ......... 90%
Outcome correct ............. 80% (outcomes need judgement; check by ear)

If a tool fails on amounts and dates, you can still use its summaries to pick calls, but every number must be checked before a quote goes out.

AI call analysis tools and prices

How we compared: prices and features from each provider's official page, checked in September 2026. Prices exclude 18% GST unless stated.

No tool yet? Analyse a transcript with any AI chatbot

If you have a few recordings but no tool, paste a transcript into a general AI chatbot with the prompt below; Fireflies' free plan can make the transcript from an uploaded recording. Remove names, phone numbers and addresses from the transcript before you paste it, because customer calls are personal data under the DPDP Act 2023.

You are reviewing an Indian sales call transcript (Hindi, English or Hinglish).
Answer in English:
1. Customer requirement, in one line
2. Budget, quantities, dates and places mentioned, in the exact words used
3. Questions the customer asked
4. Objections, in the customer's words
5. Competitors mentioned
6. Next step agreed: action, owner, date, channel. Write "none agreed" if none.
7. Outcome: Interested / Needs time / Booked / Not interested
8. One moment the salesperson could have handled better, and a line to use instead
Quote the transcript for items 2, 4 and 6. Do not guess details that are not in it.

This works for a handful of calls. Past 20 or 30 calls a day, copying transcripts by hand costs more time than a tool does.

Where AI call analysis goes wrong

• Overstated outcomes. "Main soch ke bataunga" (I'll think and tell you) can come out as "interested". Keep outcomes as a fixed list and spot-check them.
• No rate card. AI doesn't know your prices, so it won't flag a wrong quote unless the tool lets you add your price list.
• Scores without evidence. A sentiment or quality score that doesn't link to the moment in the call can't be coached. Use it to choose calls, then listen.

Where TalkEasy by GrowEasy fits

TalkEasy by GrowEasy gives your team one business number in an app, records calls with an announcement, and after each call transcribes it and writes a summary of the requirement, questions, objections, next follow-up and outcome. AI call insights flag objections, competitor mentions, buying intent, pricing discussions and follow-up commitments. Pro costs ₹999 a month plus GST with unlimited users and 3 hours of talktime a day; extra talktime is ₹49 an hour plus GST.

It is not the right pick for every team. A contact centre that needs every call auto-scored against a custom form will be better served by Convin or Salesken, and CRM integration is part of TalkEasy's Enterprise plan, not Pro. If your sales conversations happen on Zoom or Google Meet, a meeting tool such as Fireflies fits better. Before you roll out any AI tool, the AI readiness assessment for sales call teams checks whether your calls and process are set up for it.

See how TalkEasy's AI call insights work

Last reviewed 24 September 2026.