ABOUT THE COMPANY
Aggregating MSME loans at scale
This DSA network connects 200+ MSME lenders with a panel of 18 active lending partners (banks, NBFCs, peer-to-peer platforms). They receive 200+ applications daily, with a 12-person operations team. Their value is speed,reducing friction between MSMEs and lenders,but manual CAM generation and underwriting was causing bottlenecks. Loan applications were piling up, and approval rates were low (35%), creating borrower attrition.
INDUSTRY CONTEXT & DEMAND
MSME lending demand outpaces DSA capacity
MSME lending is growing 40% annually in India as government schemes (ECLGS, MUDRA) boost awareness. However, DSAs are constrained by manual CAM and underwriting work. DSAs that shift to AI-driven underwriting and automated CAM can serve 3-4× more borrowers with the same team, while improving lender approval rates (better-quality applications). The DSAs that win are those that can turn around applications in hours, not days.
THE CHALLENGE · BEFORE
5 hours per CAM, 35% lender approval rate
Each MSME application required 5 hours of work: manual GST review, ITR analysis, credit scoring, and CAM drafting. With 200+ daily applications, the 12-person team could process only 120 per day, creating a backlog. Worse, lender approval rate was only 35%,meaning 65% of applications were rejected or abandoned. DSAs were turning down deals because they couldn't process them fast enough, and borrowers were giving up and approaching multiple platforms.
- 5-hour CAM generation process per application
- Lender approval rate: 35% (65% rejection/abandonment)
- 120 applications/team/day (200+ coming in)
- Backlog building; borrower churn
- 18 active lenders; poor match algorithms
HOW AICA HELPED · THE SOLUTION
AI underwriting + CAM in parallel, lender matching
AICA's AI Underwriting ran 250+ credit checks in parallel while CAM Generation drafted the compliance memo,both in 4 minutes. A Lender Match algorithm analyzed borrower profile (size, cash flow, geography, collateral) and recommended the best lender from the 18-person panel, improving first-match approval odds. GST/ITR parsing automated financial data extraction. The combined pipeline reduced per-application time by 98%.
- AI Underwriting, 250+ checks in 6.2 seconds; parallel with CAM
- CAM Generation, 5 hours → 4 minutes; auto-drafted and compliant
- Lender Match, AI-scored borrower-lender affinity; improved approval odds
- Banking Parser, Automated GST, ITR, and bank statement extraction
THE OUTCOME · AFTER
4 minutes per CAM, 67% approval rate, 168 apps/team/day
Per-application processing time fell from 5 hours to 4 minutes, a 75× speedup. Lender approval rate doubled from 35% to 67%,a result of both better-quality CAMs and smarter lender matching. The 12-person team now processes 168 applications daily (vs. 120 pre-deployment), a 40% throughput increase. Borrower turnaround time fell from 1 day to under 4 hours, reducing abandonment. Per-deal margin improved 2.4× due to reduced overhead.
- CAM generation: 5 hours → 4 minutes
- Lender approval: 35% → 67% (+92%)
- Apps per team per day: 120 → 168 (+40%)
- Per-deal margin: +2.4×
- DSA turnaround: 1 day → <24 hours
- Lender panel: 18 active lenders utilized