Revenue Reconciliation Automation
Revenue appears in multiple systems: your billing platform, payment processors, bank feeds. Reconciling these sources to your ledger is a manual slog with frequent mismatches.
90%
Faster reconciliation
99.6%
Match accuracy
<4 wks
Time to deploy
01
The Problem
The Challenge
Matching revenue across billing systems, payment processors, and bank feeds is one of the slowest close processes. Mismatches from partial payments, timing gaps, currency conversions, and format differences consume time that should be spent analyzing results.
02
How It Works
How ActionAI Solves It
ActionAI ingests revenue data from all sources and applies matching logic that accounts for partial payments, timing gaps, currency conversions, and FX adjustments. When a discrepancy cannot be matched automatically, the system classifies it and routes unresolved items with recommended next steps.
03
The Outcome
Key Capabilities
Revenue reconciliation that once took days completes in hours, with fewer discrepancies requiring review. Auditors receive documentation for each match, while teams focus on exceptions that require investigation.
Results that speak for themselves
90%
Reconciliation time reduction
Automated cross-system matching
99.6%
Per-entry accuracy
Every revenue entry verified individually
100%
Per-entry accuracy
Full documentation for every match
Financial Services
In finance, every mistake has a footnote. A duplicate payment slips through because two instances of the same supplier have slightly different spellings in the vendor master, and the 10-K has to name the correction the following quarter. Reconcile a cash account against last month's bank statement, and the break carries into the year-end audit as a material weakness. Ground truth is the PO and goods receipt for AP, or the bank feed for a reconciliation. ActionAI scores every automated match and reconciliation against those controlling records, and high-confidence transactions post without a clerk opening the entry. When a match falls below threshold, ExEx (Explainable Exceptions) holds the posting and hands it to a reviewer with the failed check and source document on screen, so the reviewer opens the case knowing what to verify.
Related Use Cases
Frequently asked questions
AP and reconciliation at Emirates NBD at 1M+ daily transactions with auto-match moving from 90% to 99%+, invoice and procurement audit at RAK Ceramics at 99.8% accuracy, and month-end close acceleration at Healthy Poke (Day 9-10 to Day 3). Finance is the universal entry point for ActionAI across every vertical.
The posting holds and goes to a reviewer. The failed match and the source document behind it are surfaced together.
No. ActionAI reads from your GL, subledger, and close tools via API or data export; the books stay in your ERP.
A 1-2 hour scoping call identifies the highest-ROI process, then a free pilot delivers results in days to weeks. The enterprise AI average is 13 months; ActionAI runs at a different cadence.
SOC2 compliant with SSO and encryption, deployed in cloud or on-premises. Every decision is logged with full audit traceability from day one.