Payment posting automation is the difference between a revenue cycle that simply records what payers send and one that verifies whether payers paid correctly. Every 835 remittance carries allowables, adjustment codes, and patient-responsibility splits that must be matched to the right claim and charge line — and buried inside that data are the underpayments, silent denials, and missed revenue that quietly erode net collection rate. MangoWorks.AI turns posting from a manual, error-prone chore into an intelligent control point for payment integrity.
Automated ERA and payment posting
The platform ingests electronic remittance advice (ERA/835 files), lockbox deposits, and paper EOBs, then posts payments, contractual adjustments, and patient balances directly to the correct claim in your practice management system. Instead of staff keying line by line, the AI reads each remittance, resolves it to the matching charge, and reconciles the deposit total to the sum of posted transactions.
- Line-level matching of payments and adjustments to the originating claim and CPT/HCPCS charge.
- Automatic reconciliation of bank deposits and lockbox files against posted remittances.
- Correct handling of secondary balances, capitated arrangements, takebacks, and reversals.
- Exception-only routing, so staff review the handful of transactions that truly need judgment rather than every line.
Detecting underpaid and missed claims
Posting a payment is not the same as confirming it is correct. MangoWorks.AI compares each remittance against the expected reimbursement modeled from your payer contracts and fee schedules. When a payment lands below the contracted allowable — or when an adjustment code quietly writes off revenue that should have been collected — the system flags it as an underpayment rather than letting it disappear into the ledger.
Contract and variance detection
Contract variance detection continuously benchmarks actual payments against modeled contract terms across every payer and plan. The platform quantifies the dollar gap on each variance, groups recurring patterns by payer and procedure, and builds a prioritized underpayment recovery worklist ranked by recoverable value and timely-filing risk. That transforms recovery from a periodic audit into a routine, day-to-day discipline.
When payment posting becomes an integrity checkpoint rather than a data-entry task, underpayments stop being a write-off category and start being a recovery pipeline.
Accelerating cash and lifting net collection rate
Speed and accuracy compound. Automated posting closes the gap between payment receipt and reconciliation, which lowers days in A/R and gives leadership a cleaner, near-real-time view of cash. Consistent recovery of underpaid and missed claims lifts net collection rate toward the full contracted value of services rendered. Organizations that automate posting often see faster month-end close, fewer unapplied cash balances, and a measurable reduction in avoidable write-offs.
- Faster deposit-to-post cycles that reduce days in A/R and unapplied cash.
- Underpayment worklists that convert variances into appealed, recovered dollars.
- Cleaner reconciliation that shortens month-end close and improves cash forecasting.
Integrated with your revenue cycle
Payment intelligence works best as part of a connected revenue cycle. It pairs with denial intelligence to distinguish true denials from underpayments, with intelligent claims management to feed clean claims that pay correctly the first time, and with analytics and executive insights to surface payer-level trends. Built on data integration and continuous learning, the models sharpen with every remittance they process. Explore the full platform or review our solutions to see how the pieces connect.
Frequently Asked Questions
What is payment posting automation?
Payment posting automation uses AI to ingest electronic remittance advice (ERA/835) and paper EOBs, match each payment line to the correct claim and charge, and post allowables, adjustments, and patient responsibility automatically. It replaces manual keying, reconciles deposits to remittances, and routes only true exceptions to staff for review.
How does AI payment integrity catch underpayments?
AI payment integrity compares each remittance against expected reimbursement derived from your payer contracts and fee schedules. When a payment falls below the contracted allowable, or an adjustment code masks a short payment, the system flags the variance, quantifies the dollar gap, and creates a prioritized underpayment recovery worklist so the shortfall can be appealed before timely-filing deadlines pass.
Will remittance automation work with my EHR or practice management system?
Yes. MangoWorks.AI is designed to integrate with major EHR and practice management systems, ingesting 835 files and lockbox data, then writing posted transactions and adjustments back into your ledger. Because it layers on your existing workflow, teams keep their current system of record while gaining automated posting and variance detection.
How does payment intelligence improve net collection rate?
By posting payments faster, surfacing underpaid and missed claims, and detecting contract variances, payment intelligence recovers dollars that would otherwise be written off. Faster reconciliation lowers days in A/R, and consistent underpayment recovery lifts net collection rate toward the full contracted value of the care delivered.