The problem
Finance teams burn days matching PSP payout reports against bank deposits and ledger entries. Fees, refunds, partial captures, and FX make naive matching useless — so the work stays manual.
The system
A pipeline that ingests processor reports (Stripe, Razorpay, PayPal — whatever you run), bank feeds, and ledger exports; matches deterministically on amount/date/reference windows; uses an LLM matcher with citations for the messy remainder; and queues only genuine exceptions for a human.
How it's built
- Ingestors per source with schema validation and replayable raw storage
- Rule-based matcher for the 90%+ head; AI matcher with evidence for the tail
- Exception queue with one-click resolutions that become new rules
- Immutable audit log — every match explains itself
Delivery
A Sprint proves match rates on your real exports; a 4–8 week Build ships the production system wired to your sources.
What to expect
- Typical goal: >95% auto-matched lines, exceptions measured in minutes/day
- Close cycles shortened from days to hours
- Auditors get evidence links, not spreadsheet archaeology