AI Reconciliation
Automation
Built for the Physician Billing division of a major regional health system—automated reconciliation across three financial systems, validating over $100M monthly with 99% accuracy. What took 4 days now takes 4 minutes.
Accuracy
Three Systems. $100M. One Grueling Monthly Process.
The Physician Billing division of a large regional health system processes payments across a high volume of providers, payers, and transaction types. Every month, the finance team faced the same ordeal: manually reconciling transactions across three separate systems that don’t speak to each other—the bank, the invoicing platform, and the payment processor’s activity ledger. At $100M+ in monthly volume, the stakes were high and the margin for error was zero.
Data Fragmentation
Bank receipts, invoicing records, and payment ledger entries existed in siloed systems with different formats, identifiers, and timing conventions.
Volume & Complexity
Reconciling $100M+ in monthly transactions meant manually cross-referencing thousands of entries, any one of which could hide a discrepancy.
Time Cost
The process consumed 4 full business days every month—skilled finance staff performing repetitive, error-prone matching work with no time for analysis.
Bridging Three Sources of Financial Truth
The reconciliation engine ingests, normalizes, and cross-validates data from all three systems in a single automated run.
Raw deposit and payment records directly from the banking institution’s transaction feed.
Customer invoice records, payment terms, and expected receipt amounts from the billing platform.
The payment processing team’s activity ledger tracking processed transactions, fees, and settlements.
Logical Rules + AI Working in Tandem
The system combines deterministic matching logic with AI-driven exception handling—giving it the precision of rules-based reconciliation and the intelligence to resolve ambiguous cases.
The system pulls current-month data from all three sources, normalizing formats, currencies, date conventions, and transaction identifiers into a unified schema.
Deterministic rules attempt to match every transaction across all three systems by amount, reference number, date proximity, and counterparty. Clean matches are confirmed automatically.
Transactions that fail rule-based matching are passed to AI, which reasons over partial matches, timing differences, fee deductions, and split payments to resolve edge cases intelligently.
Any transaction that cannot be reconciled by logic or AI is flagged with a detailed explanation and confidence score. The AI then generates specific, actionable guidance on the steps required to resolve each outstanding item—so the team knows exactly what to do, not just what went wrong.
A complete reconciliation report is generated in minutes: matched totals, unresolved items with AI-authored resolution guidance, accuracy rate, and a full audit trail—ready for finance sign-off with a clear action plan already in hand.
4 Days → 4 Minutes
The most dramatic result isn’t just time saved—it’s the transformation of reconciliation from a month-end crisis into a routine, invisible process.
More Than Just Speed
The reconciliation transformation delivered value across every dimension of financial operations.
48+ Hours Reclaimed Per Month
Four full business days of skilled finance staff time returned to higher-value work: analysis, forecasting, and strategic reporting.
99% Accuracy, Consistently
A level of accuracy that meets or exceeds manual reconciliation—without fatigue, oversight, or end-of-month pressure errors.
Complete Audit Trail
Every match, rule applied, and AI decision is logged. Finance, compliance, and audit teams have full transparency into every reconciled dollar.
AI-Guided Resolution for Every Exception
Flagged items don’t just arrive with a problem description—the AI generates specific, step-by-step guidance on the actions needed to resolve each one, cutting investigation and correction time from hours to minutes.
“We used to dread the last week of every month. Now reconciliation just… happens. We get a report, review the flagged items—which are almost nothing—and we’re done. The team can’t believe we ever did this by hand.”
Ready to eliminate your month-end reconciliation grind?
We’ll show you exactly how this works with your systems, payer mix, and transaction volume.