Revenue Discovery

Review potential missed charges with evidence

Compare documented services with the claim to identify candidates for review. Confirm support, payer requirements and approval before estimating financial opportunity.

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Last updated: October 5, 2026

Hidden Revenue Leakage

Documentation, coding and submitted charges can differ; review the source before assigning a financial value.

Why do providers leave revenue uncaptured?

A financial opportunity is a candidate discrepancy between documented care, coding and the claim, not money already recovered. Review the source record, contract and payer requirements before estimating its value. Missing documentation can invalidate an apparent opportunity. Define the cohort and period, and distinguish potential amounts from approved changes, submitted claims and collected payments.

Systematic Undercoding

A documented service may be omitted or assigned a lower code. Validate the encounter and applicable criteria rather than assuming every difference is billable.

Missed Add-On Services

Review add-on services only when documentation and the payer’s billing requirements support separate reporting.

Preventable Denials

Missing records or unsupported charges may invalidate a candidate. Track those exceptions separately from approved changes and collections.

AI Solution

Evidence-based revenue review

Evaluate candidates on received records with documented services, payer criteria and human approval.

How does AI recover missed billable revenue?

Assisted revenue review organizes available records and highlights discrepancies for validation against documented services and applicable payer requirements. Keep supporting evidence, the reason for review and unresolved exceptions with each candidate. A reviewer confirms whether a correction is appropriate. The resulting estimate is potential value, not a guarantee of higher billing or collected revenue.

Capture Billable Services

Trace a potential charge to its supporting service and documentation. Missing information remains an exception rather than presumed revenue.

Unlock New Revenue Streams

Evaluate eligible services against documentation, contractual scope and the regional code system; verify financial outcomes separately.

Automate Revenue Discovery

Keep evidence and unresolved exceptions with each candidate. A responsible reviewer approves any correction before submission.

How It Works

A three-stage evaluation from inputs to approved changes

How does AI revenue discovery work?

First agree the document inputs, market, contract and payer rules. Then review candidate discrepancies against source evidence and resolve missing information. Finally approve any correction and verify the actual submission or collection stage through the operational system. Confirm the connector separately and report denominators; a reviewed candidate is not a completed financial outcome.

1

Customize Your AI

Configure the AI environment with your organizational billing criteria, payer rules, and specialty-specific requirements.

2

Review charge candidates

Compare documented care with the claim, inspect each candidate’s source and resolve missing support.

3

Approve and verify submission

Approve supported changes and verify the configured export or connector. Track submitted claims and collections as separate subsequent states.

Arkangel AI vs. manual revenue capture

How AI pre-bill review compares with manual coding on captured revenue, coverage, and compliance.

Does AI capture more revenue than manual coding?

Compare manual and assisted revenue review using the same records, contract and adjudication criteria. Measure review time, false candidates, supported corrections and actual claim outcomes separately. Assistance can organize evidence while people resolve exceptions. Neither a suggested service nor an RVU estimate demonstrates additional cash; any collection claim needs its own cohort and payment evidence.

CapabilityArkangel AIManual revenue capture
Chart coverageReceived records, with charge candidates and missing-data exceptionsReviewer selects the agreed sample or cohort
TurnaroundMeasure processing and human-review time on the pilotMeasure reviewer time using the same records
Billing accuracyTrace potential charges to documented services and payer requirementsReviewer applies and documents the agreed criteria
CapacityMeasure assisted throughput and approval workloadMeasure reviewer capacity, staffing and review time
ComplianceCandidates need source evidence and approval before submissionReviewer records evidence, exceptions and approved changes

Human review

Potential opportunity, approved correction, submitted claim and collected payment are separate outcomes with separate evidence.

Calculate Your Potential Savings

Use our free calculators to estimate your revenue recovery and cost savings

Revenue Recovery Calculator

Calculate how much revenue you could recover from coding optimization and reduced billing errors.

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Start Discovering Revenue Today

See how much revenue your organization is missing. Our team will conduct a complimentary analysis of your charts to identify opportunities.

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Frequently Asked Questions

Everything you need to know about chart intelligence for revenue discovery

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Review evidence before applying a finding

Review evidence before applying a finding
Review pointManual reviewAssisted review
InputRead the source documents and define the question.Organize the available question, documents and cited evidence.
EvidenceFind and open the original source.Inspect each cited source and whether it supports the finding.
ExceptionsCheck missing information and conflicting evidence.Retain unresolved exceptions for human review.
DecisionDocument the reviewer’s conclusion.Approve or reject the candidate; assistance does not settle the decision.

Synthetic educational example · not a live product response

Revenue review: a candidate is not collected money

Synthetic case: two billed units at 100 each, with only one documented unit. Output: a 100-unit discrepancy for review. The reviewer must check whether another source supports the second unit. This is not a recovery result or a justification to increase billing.

US workflows use ICD-10-CM/CPT and payer requirements; Colombian CIE-10/CUPS/RIPS are separate systems. Confirm source completeness, rule version, review exceptions and the connector before promising EMR write-back. Track candidate, approved correction, submitted claim and collected payment separately.

Pricing and accessDiscuss institutional scopeColombian claims glossaryClaims guide (Spanish)

AI processes supported records, flags priority findings, and keeps human review auditable.

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