Your CRM should update itself after every call.
Review every call, score agents, update CRM fields, and surface missed revenue automatically.
No manual logging. No missed follow-ups.
0%
call review
Review 100% of calls.
CRM
auto-update
Lead status, intent, next steps.
QA
quality score
Call quality analysis on every call.
Autopilot snapshot
Turn every call into structured revenue data.
Structured data, every call
intent, budget, objections, next step
0%
of calls analyzed
Revenue signals, sorted
no manual workGhost leads
High-intent buyers that slipped.
MIS visibility
Funnel, leakage, performance.
Hindi + Hinglish aware
Built for mixed-language calls.
CRM auto-fill
Status, intent, budget, follow-ups.
MIS dashboards
Funnel, leakage, performance.
Priority signals
What needs action next.
Missed revenue hidden inside live conversations
Ghost leads buried in weak CRM logging
Transcript moments for agent coaching
Manual QA and manual CRM logging fail together.
Sampling hides patterns. Manual notes miss follow-ups. High-intent calls disappear into bad CRM data.
Manual QA
Too little visibility.
Manual CRM
Too many missed next steps.
Agents forget to log data
Intent and next steps stay in the rep's head.
Follow-ups are missed
Strong calls stall without a clear next step.
High-intent leads are lost
Hot buyers slip without clear urgency or timing.
CRM becomes storage, not a sales tool
Records pile up, but revenue signals stay hidden.
This is where revenue leaks happen
Bad QA and bad CRM data break follow-up, prioritization, and visibility.
Operational comparison
From manual logging to usable CRM
Rep memory
CRM updates itself
Manual follow-up chase
Next steps assigned
Activity-only reports
MIS shows intent and leakage
What if your CRM filled itself?
After every call, CallPulse scores quality, updates CRM, and assigns the next step.
CRM auto-fill
Lead status, intent, budget, next steps.
Buyer intelligence
See who is ready, warming up, or low intent.
MIS dashboards
Track funnel, leakage, and revenue trends.
QA + coaching
Score agents and coach from transcripts.
QA layer
Quality, objections, call intent.
CRM layer
Fields update after every call.
MIS layer
See leakage, funnel, and performance.
You don't need more leads.
You already talk to buyers. Most teams just fail to track intent, score quality, and act in time.
Teams that start fastest
The punchline
CallPulse turns conversations into call quality analysis and revenue intelligence.
Automated QA for call centers
Review 100% of calls, not 2%.
Ghost leads surface
Find hidden buyers, weak follow-ups, and missed revenue.
Hindi and Hinglish ready
Built for mixed-language call analysis.
CRM-ready outputs
Structured outputs fit the systems you already use.
Coach agents using real conversations.
See the missed moment, the quality issue, and the CRM fields filled from it.
Call transcript
UrbanAxis Homes purchase inquiry
Thanks for calling UrbanAxis Homes. I can help with project details.
Mujhe 2BHK dekhna hai. Budget 48 lakh ke around hai. Loan clear hua toh is month book karunga.
Inventory available hai. I will share a brochure, but I did not confirm your visit date.
Weekend visit ho sakta hai, but parking and payment plan clarity chahiye.
Understood. I should have locked the site visit and handled the payment-plan objection.
AI summary
Strong intent. Clear budget. Weak next-step handling.
QA + CRM update
High intent
Coachable and ready for follow-up.
Key issues detected
Visit date was never locked
Ghost lead riskPayment-plan objection stayed open
Needs coachingSuggested action
Schedule the visit. Coach the objection. Flag the lead.
Call to CRM to action.
Call, score, update, act.
Recommended first pilot
One queue
Keep rollout focused.
One workflow
Map CRM fields.
One week
Enough to spot leakage.
Call
Calls happen.
AI analysis
Intent and quality scored.
CRM auto-update
CRM fields update.
Insights
See QA, funnel, leakage.
Action
Coach faster. Act on leads.
Privacy-first by default.
Sensitive call data needs simple, clear controls.
No training without permission
Opt in only.
Retention controls
Set clear retention windows.
Clear handling expectations
Simple data rules upfront.
Data handling defaults
Clear before scale.
Know where audio comes from, who sees it, and how long it stays.
Input boundary
Start with one queue.
Access boundary
Limit access to reviewers.
Retention boundary
Keep retention explicit.
Questions before rollout.
The basics, answered.
Useful first check
Bring one queue, one CRM workflow, and a week of calls.
See what your calls are worth
Bring one queue, one CRM workflow, one week of calls.
callpulse@qualiabits.com