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Index/ Work/ 05 — Setu Finance
Development · AI Automation · 2025 · Bengaluru · Fintech

Setu Finance

A lending platform whose ops team was the bottleneck — until the AI workflow took the manual reconciliation off their desk.

01 / Challenge

The brief.

Setu was processing seven thousand loan applications a month with twenty-two ops analysts manually reconciling KYC, bank statements, and credit bureau pulls. Errors were rare but expensive; throughput was capped not by demand but by humans. Hiring more analysts was the path the founders refused.

02 / Approach

The work.

A pair of automated workflows — KYC normalisation and statement reconciliation — built on the team's existing decision trees, reviewed by a human only at the edges. We shipped an ops dashboard to make the AI auditable. Nothing decided autonomously; everything decided faster, with a clearer paper trail than the manual flow it replaced.

03 / Outcomes

What moved.

—74%
Manual processing time · per application
+3.1×
Ops capacity · same headcount
99.4%
Reconciliation accuracy · audited
04 / Disciplines
DevelopmentAI Automation

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