Sales managers can't listen to every call. Coaching is reactive: you correct after a deal is lost. By then the rep has the same habit on 20 more calls.
The AI approach
Auto-coach every call. Score talk-ratio, question density, must-cover topics, sentiment trajectory. LLM writes 3 specific coaching points within 30 min of the call ending.
The outcome
~+18% close rate
Reps see metrics within 30 min of the call. Close rate up ~18% in 90 days for reps who actually adopt the feedback.
Try itInput → Process → Output
Input — recorded call
Call · P'Ploy ↔ Maxx Distribution34 min · 2 attendees · recorded · 1 day ago
blue = rep · orange = customer
Deal context
Stage: discovery · ARR target: ฿1.8M · Competitor: Acme · Next step: not yet set
Process — AI pipeline
1Transcribe + diarise callListenPredictive
2Score talk-ratio + Q/A densityReadPredictive
3Check must-cover topics + bansRulesSymbolic
4Write 3 coaching pointsWriteGenerative
Output — coaching scorecard
Click Run demo to score the call and write coaching feedback.
Coaching scorecard deal stage: discovery
metric
this call
top reps
flag
Talk ratio (rep:customer)
74:26
43:57
⚠ high
Questions asked by rep
4
11
⚠ low
Decision-process covered
no
yes
⚠ missed
Sentiment (last 5 min)
flat
positive
⚠ watch
3 coaching points (positive-led):
✓ Strong product knowledge — handled the integration question well.
→ Talk less, ask more. You spoke 74% of the time. Try the 43:57 ratio top reps hit — start with 2-3 open questions before any pitch.
→ Decision-process question never came up. Add: "Walk me through how a tool like this gets approved at Maxx?" — this saves you 3 weeks of cycle time.