$5.6 billion, five payment rails, reconciled without hitting a ceiling.

A financial services company processing $5.6 billion across five payment rails, supporting debt-relief, attorney trust, bankruptcy trustee, and tax-resolution flows, had outgrown its existing reconciliation platform. Exception triage across five rails was manual, anomaly detection was limited to basic rule-based logic, finance close stretched further as volume compounded, and there was no reconciliation infrastructure in place for a planned move into crypto.

1. 1Funds received: a multi-rail intake ledger tracks real-time balance per client trust account and flags out-of-pattern deposits
2. 2Reconciliation: AI-assisted matching runs across payment processor, bank statements, and ledger, with custom matching rules built in Workflows, no code required, and exceptions routed to a human-in-the-loop queue with full context
3. 3Distribution: outbound payments are validated against balance, program rules, and compliance gates, with failed or returned payments auto-creating exception tasks
4. 4Close and report: automated close workflows eliminate most manual journal entries, and client-level reporting plus SOC 1 compliance evidence generate on schedule

Crypto flows through a separate dedicated tool and feed the same GL, so the reconciliation hub doesn't need to be rebuilt to extend into it.

Reconciliation here isn't just operational, it's evidentiary. Every rail flows in, every distribution flows out, and the platform in the middle produces the compliance evidence itself, on schedule, not on request.