Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
PolicyBazaar · Ringg
Vendor-reportedInsuranceIndiaIn productionEnterpriseNLP
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by ringg.ai (vendor self-report). Checked against the source page on 2026-09-05. 8 of 8 figures below appear on that page word for word.
The problem
Policybazaar needed a better way to respond to the leads it was already getting, quickly, consistently, and at scale.
What was deployed
- Vendor
- Ringg
- Products
- Ringg
- Technique
- NLP
- Build or buy
- Bought off the shelf
- Deployment
- On-premise
- Data used
- On-premise data, models trained on it
- Scale
- 57,000+ calls daily
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
57000Connected callsfrom ~80 calls/day (RM call capacity before Ringg)
“57,000+ Connected calls daily”
Quoted word for word from the source
4Average qualified call time
“4 min Average qualified call time”
Quoted word for word from the source
5 - 7Qualified lead rate
“5 - 7% Qualified lead rate”
Quoted word for word from the source
67L0 containment rate
“67% L0 containment rate”
Quoted word for word from the source
under 60 secondsLead response timefrom 8 - 12 min
“When a new lead came in, Ringg triggered an outbound call in under 60 seconds.”
Quoted word for word from the source
67Calls fully handled by AI
“67% of calls are fully handled by AI.”
Quoted word for word from the source
7Calls routed to RM
“Only the best 7% reach an RM”
Quoted word for word from the source
26Calls resulting in scheduled callback
“The remaining 26% get a scheduled callback.”
Quoted word for word from the source
Close rates on RM calls
“Our close rates on RM calls are up significantly.”
Quoted word for word from the source
“Before, our RMs were spending half their day on people who'd filled the form out of curiosity. Now, by the time a lead lands in front of them, the AI has already had the hard first conversation. Our close rates on RM calls are up significantly. Every lead they see is genuinely warm.”
Difficulties and limits
- Leads were assigned to a relationship manager and called only when someone was available; even a strong human team could not guarantee every new lead would be reached in the first minute, and intent cools fast after a form fill.
- RM call capacity was only about 80 calls per day — a drop in the ocean compared to daily inbound volume — with no proper qualification step before a human got involved.
Sources
- ringg.ai — vendor self-report, 2026-05-12
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