Sarvagram
Rural-focused lender · micro-loans across a branch network
Lead-to-pipeline conversion up five times in fifteen days
Rural-focused lender · micro-loans across a branch network
5x
lift
0.5%
to 2.5% conversion
15
days
60
seconds to first call
What Sarvagram needed to solve
Leads were being rejected in the field with no independent record of whether they were genuinely unqualified or simply never worked. Lead-to-pipeline conversion sat at 0.5%, and nobody could tell which half of the funnel was the problem — the leads themselves, or what happened to them after assignment.
Deployment snapshot
- Sector
- Type
- Agentic workflow
- Agents
Rural-focused lender · micro-loans across a branch network
Voice · WhatsApp
The deployment
A voice agent now calls within sixty seconds of form submission, before the lead is assigned. It confirms genuine interest, captures branch-visit intent with a date, and WhatsApp follows with branch details and a confirmation. Every lead carries an independent, timestamped record before it reaches the field.
Stack that ran
- Voice
- 01
- 02
The outcome
Conversion from lead to pipeline moved from 0.5% to 2.5% within fifteen days of the agent going live. Beyond the number, the lender now has an unbiased first-touch record for every lead — which makes funnel analysis honest and removes the ambiguity between a bad lead and a badly worked one.
Related case studies
Other live programmes with the same evidence standard.
Run a comparable working session
Bring us the workflow. We will map the evidence, baseline and system write-back before the first live run.