# LunaBill

> AI Revenue Cycle Automation for Hospitals & RCM Firms

## Pages

- [About](https://lunabill.com/about/): PricingFAQCase studyAboutBlog Talk to us PricingFAQCase studyAboutBlogTalk to us We built the system revenue cycle teams deserved. Health systems were losing billions to denied claims, not because the claims were
- [Blog: notes for revenue cycle leaders](https://lunabill.com/blog/): PricingFAQCase studyAboutBlog Talk to us PricingFAQCase studyAboutBlogTalk to us Notes for revenue cycle leaders. Research and practical writing for hospital finance teams. OperationsAugust 2026 4 ways AI agents change how
- [Compare](https://lunabill.com/compare/): LunaBill vs SuperDial
- [Frequently asked questions](https://lunabill.com/faq/): PricingFAQCase studyAboutBlog Talk to us PricingFAQCase studyAboutBlogTalk to us FAQ Everything about AI in the revenue cycle. 154+ answers on how LunaBill works, what it costs, how it handles security
- [Home](https://lunabill.com/): PricingFAQCase studyAboutBlog Talk to us PricingFAQCase studyAboutBlogTalk to us Your claims don’t chasethemselves. Luna does. LunaBill’s AI agents work your entire AR queue: portals, payer calls, denials, appeals. Your team
- [LunaBill vs SuperDial](https://lunabill.com/compare/lunabill-vs-superdial/): PricingFAQCase studyAboutBlog Talk to us PricingFAQCase studyAboutBlogTalk to us Evidence-based comparison SuperDial is built around calls. LunaBill is built to finish the claim. LunaBill works the whole claim: payer portals,
- [Nutex Health case study: $32M+ of AR worked in 30 days](https://lunabill.com/case-study/): PricingFAQCase studyAboutBlog Talk to us PricingFAQCase studyAboutBlogTalk to us Case study · Nutex Health · 24 campus U.S. health system $32M+ of AR worked in thirty days. A 60+ person
- [Pricing](https://lunabill.com/pricing/): PricingFAQCase studyAboutBlog Talk to us PricingFAQCase studyAboutBlogTalk to us Pricing You pay when you get paid. LunaBill pricing is performance based: a share of net collections recovered, billed only after
- [Privacy policy](https://lunabill.com/privacy/): PricingFAQCase studyAboutBlog Talk to us PricingFAQCase studyAboutBlogTalk to us Effective June 11, 2026 Privacy policy. This policy describes how LunaHealth Technologies, Inc. (“LunaBill”, “we”, “us”) handles information collected through lunabill.com.
- [Revenue Cycle Automation ROI Calculator](https://lunabill.com/roi-calculator/): PricingFAQCase studyAboutBlog Talk to us PricingFAQCase studyAboutBlogTalk to us Plan the business case Model the capacity and cost hiding in your AR queue. Start with claim volume, current staff minutes,
- [Terms of service](https://lunabill.com/terms/): PricingFAQCase studyAboutBlog Talk to us PricingFAQCase studyAboutBlogTalk to us Effective June 11, 2026 Terms of service. These terms govern your use of lunabill.com, operated by LunaHealth Technologies, Inc. (“LunaBill”, “we”,
- [Trust and security](https://lunabill.com/trust/): PricingFAQCase studyAboutBlog Talk to us PricingFAQCase studyAboutBlogTalk to us Built for the teams who say no. Your IT, compliance, and privacy reviewers ask the same eight questions on every vendor

## Posts

- [Building a Payment Accuracy Review Process in Healthcare](https://lunabill.com/blog/building-payment-accuracy-review-process-healthcare/): Learn how to build a payment accuracy review process, validate variances, and prevent underpayments with a joint Revenue Cycle and Managed Care approach.
- [Rethinking AR Productivity Metrics in 2023: New Insights](https://lunabill.com/blog/rethinking-ar-productivity-metrics-2023-new/): Explore how AR productivity metrics go beyond activity counts, focusing on cash collection, denial resolution, and meaningful account advancement.
- [Optimizing Revenue Cycle Handoffs for Better Efficiency](https://lunabill.com/blog/optimizing-revenue-cycle-handoffs-better-efficiency/): Discover seamless handoffs in the revenue cycle to enhance efficiency and improve patient experience with 3 practical integration strategies.
- [Effective Post-Go-Live Monitoring Strategies for Success](https://lunabill.com/blog/effective-post-go-live-monitoring-strategies-3/): Explore key strategies for post-go-live monitoring in revenue cycle operations, focusing on system stability, vendor performance, and early issue detection.
- [How to Root Cause Recurring Billing Edits in Hospitals](https://lunabill.com/blog/root-cause-recurring-billing-edits-hospitals/): Explore how to identify recurring billing edits in revenue cycle operations, determine their root causes, and implement effective process improvements.
- [Early Warning Systems for Revenue Cycle Success](https://lunabill.com/blog/early-warning-systems-revenue-cycle-success/): Discover how post-go-live monitoring can prevent revenue cycle issues, prioritize key edits, and improve workflows in healthcare operations.
- [October 1 Revenue Cycle Readiness Validation Checklist](https://lunabill.com/blog/october-1-revenue-cycle-readiness-validation/): Ensure October 1 readiness with parallel workstreams, system updates, and a 48-hour checklist for revenue cycle leaders in healthcare.
- [Medicaid Eligibility Verification and Redetermination Steps](https://lunabill.com/blog/medicaid-eligibility-verification-redetermination-steps/): Learn how hospitals can manage Medicaid eligibility changes in 2027, with strategies for ongoing verification, redetermination dates, and proactive controls.
- [Understanding Prior Authorization Workflow Ownership](https://lunabill.com/blog/understanding-prior-authorization-workflow-ownership/): Dive into the 2027 CMS API changes, cross-functional governance, and operational ownership in U.S. prior authorization workflows for healthcare.
- [Contract Payment Accuracy and Payer Variance](https://lunabill.com/blog/contract-payment-accuracy-payer-variance/): Discover strategies to monitor payment accuracy, detect payer variance, address recurring issues, and understand key metrics in U.S. healthcare systems.
- [TEAM Changes Where the Revenue Cycle Ends](https://lunabill.com/blog/team-changes-where-the-revenue-cycle-ends/): For years, Revenue Cycle leaders have largely measured success around getting a claim out cleanly, getting it paid, and preventing denials. The Transforming Episode Accountability Model (TEAM) pushes us to
- [Admission Notifications Are Still a Revenue Risk: Where Automation Can Help](https://lunabill.com/blog/admission-notifications-revenue-risk-automation/): A timely admission notice depends on accurate coverage, a reliable trigger, documented submission, and a clear exception path.
- [The 90-Day Prior Authorization Readiness Check for Revenue Cycle Leaders](https://lunabill.com/blog/90-day-prior-authorization-readiness-check/): The January 2027 API deadline is close enough that organizations should be testing real workflows, not simply reviewing technical plans.
- [Faster Prior Authorization Decisions Are Only Part of the Answer](https://lunabill.com/blog/faster-prior-authorization-decisions/): Revenue Cycle teams need reliable tracking, usable denial reasons, and clear escalation paths to turn faster payer decisions into timely care and cleaner claims.
- [October 1 Is a Revenue Cycle Reset: What FY 2027 Changes Mean for Operations](https://lunabill.com/blog/october-1-revenue-cycle-reset-fy-2027/): The annual coding and payment update affects far more than the coding team. Revenue Cycle leaders should test the full path from scheduling through payment.
- [Why Your AR Backlog Is an Infrastructure Problem—Not a Staffing Problem](https://lunabill.com/blog/why-your-ar-backlog-is-an-infrastructure-problem-not-a-staffing-problem/): A growing AR backlog is often a sign of weak data, limited IT capacity, manual work, and unclear ownership—not simply a shortage of staff.
- [How to Automate AR Without Losing Control of the Revenue Cycle](https://lunabill.com/blog/how-to-automate-ar-without-losing-control-of-the-revenue-cycle/): Revenue Cycle leaders can automate routine AR work without losing control by defining clear boundaries, visible evidence, short decision paths, and human review points.
- [From Submitted to Paid: What End-to-End AI Claim Follow-Up Should Actually Look Like](https://lunabill.com/blog/from-submitted-to-paid-end-to-end-ai-claim-follow-up/): End-to-end AI claim follow-up should move each claim toward resolution while recognizing when an account-level issue is actually a payer-wide pattern.
- [What Your Revenue Cycle Metrics Aren’t Telling You](https://lunabill.com/blog/what-your-revenue-cycle-metrics-arent-telling-you/): Useful Revenue Cycle metrics do more than report performance—they explain what changed, reveal root causes, and point leaders toward the next decision.
- [How AI Can Prevent Claims from Aging into the 60-, 90-, and 120-Day Buckets](https://lunabill.com/blog/how-ai-can-prevent-claims-from-aging-60-90-120-days/): The 60-to-90-day AR window should be treated as an early-warning zone where AI can identify payer and internal patterns before claims become deeply aged.
- [Denial Prevention Starts Upstream: How Front-End Accuracy Protects the Entire Revenue Cycle](https://lunabill.com/blog/denial-prevention-starts-upstream/): Many denials begin long before billing. Clear ownership, accurate front-end information, and reliable handoffs protect reimbursement and the patient experience.
- [Beyond the Bot: Building Human-in-the-Loop Automation for Patient Access and the Revenue Cycle](https://lunabill.com/blog/beyond-the-bot-human-in-the-loop-automation/): Effective Revenue Cycle automation begins with a defined operational problem, clear human-review points, accountable ownership, and measures tied to outcomes.
- [Closing the Gaps: Building One Connected Revenue Cycle](https://lunabill.com/blog/beyond-the-handoff-building-one-connected-revenue-cycle/): A connected Revenue Cycle requires clear ownership, closed-loop handoffs, shared measures, and no unresolved account without a next action and due date.
- [The True Cost of a Payer Call](https://lunabill.com/blog/the-true-cost-of-a-payer-call/): The cost of payer follow-up includes preparation, waiting, documentation, repeated touches, specialized support, and opportunity cost. Revenue Cycle leaders should prioritize work according to likely recovery, payer friction, complexity, deadlines, and population impact.
- [4 ways AI agents change how hospital AR teams work the claim queue](https://lunabill.com/blog/ai-agents-hospital-ar-claim-queue/): The cost of touching a claim decides which claims get touched. When AI agents drop that cost, the sort order of the AR queue changes, and so does what staff spend their day on.
- [The $63.76 problem: why most denied claims die untouched](https://lunabill.com/blog/the-63-dollar-problem/): The most expensive line item in the revenue cycle is the work nobody does.