The best coaching conversations are anchored in specific moments from real calls. AI gives you those moments โ exactly where in the transcript things went wrong, what was said, and what could have been said instead.
Ask any experienced sales manager and they will tell you the same thing: most coaching conversations do not produce lasting behaviour change. The reasons are consistent:
AI-assisted call coaching fixes all five of these problems.
"Rahul, I feel like your objection handling has been a bit weak recently. Try to be more confident when customers push back."
"Rahul, in 7 of your last 10 calls, when the customer says 'main soch ke bataunga', you respond with 'okay sir, I'll call back'. Here's the transcript from Tuesday at 11:14 AM โ let's work on what you could say instead."
Upload the week's call recordings to Bolo Aur Likho. Within seconds, you have full transcripts, sentiment analysis, and quality flags for each call. No more listening to hours of audio โ read and search instead.
With AI, review 10 to 15 calls per agent per week instead of 3. This shifts you from coaching based on one bad call to coaching based on a pattern. An agent who scored poorly on 8 calls has a systemic issue; one who scored poorly on 1 call had a difficult day.
Search the transcript for the specific moment you want to address. "When did the customer say no and what did the agent do next?" โ find it in seconds by searching the transcript rather than scrubbing through audio.
Show the agent the exact transcript moment during the coaching session. "Here โ at minute 8:24 โ this is where you said X. The customer's response shows they weren't convinced. Let's rewrite this line together." The transcript makes the feedback inarguable and concrete.
Two weeks after a coaching session, check whether the specific pattern flagged has improved. AI scoring makes this easy โ compare the agent's score on the targeted dimension before and after coaching.
This transcript moment, surfaced automatically by AI, becomes the anchor for a specific coaching conversation: what could the agent have said instead of "okay sir, koi baat nahi"? What question would have uncovered the customer's actual hesitation?
With manual QA, a manager reviewing 5 calls per agent per week across a 10-agent team spends 5 to 8 hours per week on QA alone โ before any coaching conversations happen. AI transcript review reduces that to 1 to 2 hours for the same coverage, freeing up management time for the actual coaching conversations that create behaviour change.
Upload any call and get a full transcript in seconds. Coach from specific moments, not impressions.
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