Industry · Fintech & Lending
Mostly right is regulatory exposure. The bar is 100% or nothing. Loopfour reconciles every event across every payment rail, in real time, to that standard.
Industry Context
A lending platform generates eight to twelve notification events over a single loan's lifecycle: origination, funding, each repayment, payoff, and default. Each one has to be recorded accurately and on time. And the money behind them arrives through whatever rail the borrower used: ACH, wire, check, card. Reconciling those events against incoming funds across four different rails is the job, and it is constant.
What makes it unforgiving is that trust accounting is fiduciary. This is not internal billing where an error is embarrassing. It is client money held in trust, governed by rules where mostly right is a compliance finding. A manual three way match between the loan event, the trust ledger, and the bank rail is both the slowest part of the operation and the one with the least room for error.
The Reality
Origination, funding, every repayment, and payoff each create events that have to be recorded accurately and on time across a growing book.
Funds land via ACH, wire, check, and card. Each rail reports differently, and all of it has to reconcile into a single trust account that has to be exactly right.
Matching the loan event to the trust ledger to the bank rail is done by hand. It is the slowest step in the operation and the one where mistakes cost the most.
Trust accounting is fiduciary. A rounding gap or an unmatched deposit is regulatory exposure, and the standard is 100%.
How Loopfour Handles It
Loopfour ingests funds from every rail, classifies each automatically, and matches it against the loan event and the trust ledger in real time. The three way match that used to take days happens as money lands, to the standard fiduciary accounting actually requires.
Loopfour run
Real time
reconciliation
Multi rail
auto classification
100%
match rate
Seconds
not days for notifications
Built for lending and payment operations where reconciliation is a compliance obligation, not a back office chore.
Real Deployments
These case studies show how the same industry problem becomes a governed, auditable workflow in production.
PAYMENT RECONCILIATION & CASH APPLICATION
How a fintech payment processor reconciling $5.6 billion across five payment rails outgrew its existing platform and built a compliance-grade matching engine instead.
Read the case studyLOAN LIFECYCLE & NOTIFICATIONS
How a pre-launch peer-to-peer lending marketplace launched with a complete, white-labeled loan communication system instead of building one in-house.
Read the case studyBILLING & COLLECTIONS
How a fast-scaling money services business automated billing across 40+ clients and two different minimum fee structures.
Read the case study