RCM teams aren't short on data. They're short on execution capacity.

The bottleneck in most revenue cycles isn't knowledge; it's the sheer volume of execution work that falls on billing teams every day. Claims sit in queues, follow-ups get delayed, and reimbursement timelines keep getting pushed further out. AI in healthcare revenue cycle management connects these gaps into one continuous, automated workflow.

$262B

In Medical Claims Are Initially Denied Each Year

A significant share of this goes to claims processing, payer follow-up, denial rework, and authorization paperwork. Revenue cycle automation targets the most repetitive and time-intensive portions of this spend.

15-25%

Of Claims Require Rework Before Payment

Coding errors, eligibility gaps, missing modifiers, and payer rule violations cause up to one in four claims to bounce back. Pre-submission validation and AI claims automation catch these errors before they become denials.

40-50 days

Average Time from Claim Submission to Payment

Manual follow-up delays, denial rework loops, and disconnected workflows stretch the billing cycle well beyond what's necessary. Organizations using AI RCM software especially A/R follow-up automation system consistently bring this below 30 days.

AI Agents Handle the Work Your Billing Team Repeats Every Day

OSP's AI revenue cycle management platform is a set of purpose-built AI agents that take action across your claims workflow - scrubbing claims before submission, contacting payers for status, resolving denials through correction and appeal, and processing prior authorizations without manual paperwork. Each agent operates autonomously within your existing systems.

Validates claims against payer and coding rules through AI claims scrubbing.

Automates payer outreach, IVR navigation, and status retrieval through AI payer follow-up.

Detects, analyzes, and resolves denied claims through AI denial management workflows.

Automates authorization checks, submissions, and approval tracking through AI prior authorization.

Manages end-to-end revenue cycle workflows through AI claims management automation.

Traditional RCM Approach

Separate tools for scrubbing, follow-up, denials, and auth

Manual payer calls, portal logins, and status entry

Denials discovered weeks after submission

Prior auth paperwork delays care deliveryt

Dashboards that report what went wrong

AI-Powered Revenue Cycle

Connected AI agents running the full claims lifecycle

Autonomous payer engagement across calls and portals

Pre-submission validation prevents denials at the source

AI assembles documentation and submits requests automatically

AI agents that take action before revenue is lost

AI Workflows We Automate Across the Revenue Cycle

Purpose-built AI workflows designed to reduce denials, accelerate reimbursements, and automate execution across the healthcare revenue cycle.

AI Claims Scrubbing

Validates coding, eligibility, payer rules, and authorization requirements before submission to reduce preventable denials and improve clean claim rates across healthcare revenue operations.

AI Payer Follow-Up

Automates payer calls, IVR navigation, and portal checks to retrieve real-time claim status updates without manual follow-up work from billing teams.

AI Denial Management

Detects denied claims, analyzes root causes, classifies denial types, and routes corrections, appeals, or write-offs through automated revenue cycle workflows.

AI Prior Authorization

Detects authorization requirements, assembles clinical documentation, submits payer requests, and tracks approvals automatically across healthcare reimbursement workflows and payer systems.

AI Claims Management

Connects charge capture, submission, tracking, payment posting, and denial resolution into one continuous workflow across the healthcare revenue cycle.

AI Agents Built for Revenue Cycle Teams

80% Reduction in Staff Time on Payer Calls

100% Automated Claim Status Tracking

Your Revenue Cycle, Running on Autopilot.

OSP's Agentic AI Revenue Engine automates the most repetitive task in your billing workflow — calling payers to check claim status. It makes the calls, captures the updates, and reports everything in real time, so your team spends zero time on hold.

What It Does:

Automatically calls payers to check claim status
Captures claim updates without any manual follow-up
Logs and reports claim status directly to an Excel sheet
Replaces hours of staff time spent on hold with payers

See It In Action

4x Faster Denial Resolution with AI

5x Reduction in Denial Management Workload

Stop Writing Off Denied Claims. Start Recovering Them.

OSP's RCM Revenue Engine pulls denied claims from any source — EHR, clearinghouse, or manual upload — uses AI to identify the root cause, determines the best course of action, and automates the entire resolution workflow.

What It Does

Identifies root cause of every denial using AI
Auto-generates appeal letters tailored to payer requirements
Resubmits claims or routes complex cases to staff
Tracks every denial from identification to resolution

See It In Action

95%+ First-Pass Clean Claim Rate

50% Reduction in Manual Claim Review

Every Claim Scrubbed Before It Leaves Your Office.

OSP's AI Claims Scrubbing Agent validates every claim before submission — checking coding accuracy, payer rules, NCCI edits, and eligibility in real time. It catches the errors, suggests the fixes, and routes clean claims to the payer.

What It Does

Automatically validates CPT, ICD-10, and HCPCS codes against payer-specific rules
Catches coding errors, missing modifiers, and bundling violations before submission
Verifies patient eligibility, prior auth, and COB in real time
Routes clean claims to payer and flags dirty claims with specific fix instructions

See It In Action

Connects to Your Existing EHR, Billing, and Payer Systems

Your current systems stay exactly where they are. OSP’s AI agents connect directly to your EHR, billing platform, clearinghouse, and payer stack through native integrations.

No Rip-and-Replace

We integrate directly with your existing healthcare infrastructure so AI workflows operate inside the platforms your teams already use every day.

Your Existing Ecosystem

EHR & Clinical Systems

Billing & Practice Management Platforms

Clearinghouses & Claims Infrastructure

Payer Networks & Authorization Portals

Revenue Cycle & Financial Workflows

Our AI RCM Agents

Intelligent Claims Processing

Autonomous Workflow Automation

Real-Time Revenue Visibility

AI-Powered Payer Coordination

Continuous Workflow Optimization

Solutions We Delivered

Claims Data Management Solutions

Built a cloud-based claims data management platform to centralize healthcare claims processing, improve data visibility, and streamline payer communication across distributed systems.

65%

Faster Claims Data Access

View Case Study

Transforming Billing for FQHC Clinics

Developed a secure, HIPAA-compliant claims management platform to automate billing, coding, reimbursement workflows, and denial tracking for a dental FQHC clinic.

KEY BILLING OUTCOMES IMPROVED

View Case Study

Automated Claim Review System

Developed an automated and cloud-based claim review system to identify errors and avoid long turn-around time.

100%

Error-free EORs

View Case Study

Mental Health PM+RCM Solution

Built a customized solution to improve revenue cycle and practice management workflows in a mental-health center.

55%

reduction in claims losses

View Case Study

For the Teams Running Real Revenue Cycles

Best fit for organizations managing 10,000+ claims per month who need autonomous revenue cycle management across multiple stages of the claims lifecycle without adding headcount.

Real-Time Healthcare Claim Error Detection with AI Dashboards

RCM Firms and Billing Companies

Manage more client books without growing your analyst team. AI agents handle claims scrubbing, payer follow-up, denial classification, and authorization processing across your entire client portfolio. Your margins improve as throughput scales without proportional headcount.

Learn More

How to Implement FHIR with Epic, Cerner, and Other EHR/EMR Platforms

High-Volume Providers and Multi-Location Groups

Group practices, specialty chains, hospital networks, and FQHCs processing across multi-payer environments. AI agents work every claim across every location scrubbed before submission, followed up with payers, denials resolved, authorizations tracked. Volume scales without scaling your billing team.

Learn More

Why Enterprise EHR Integration Fails After Go-Live and How to Prevent It

Provider Revenue Cycle Teams

Reduce AR days, accelerate authorizations, improve clean claims, and minimize denial rework without expanding billing teams internally. Start with the agent that addresses your biggest gap denial rework, payer follow-up backlog, authorization delays, or claim errors and expand from there.

Learn More

Hear From Our Clients

We've reached out and found companies like OSP to create our technology. This is my first time working with a company that has been so thorough. These guys are amazing. If you really are looking for someone for a technology solution, these guys are the real deal.

Stephen Carter

Co-Founder Home Health Pro

We approached OSP for a technology solution estimate and were impressed by their professionalism and clarity. Confident in their approach, we moved forward quickly. Their team stayed on schedule and within budget, providing regular updates. For future development needs, OSP will be our first choice.

Selita Jansen

Vice President Operations Health Solutions, LLC

Voi is dedicated to ending suicides globally with two solutions: Voi Detect, a validated suicide risk assessment, and Voi Reach, an AI-driven support app. OSP played a crucial role in transforming our concepts into commercially successful, award-winning solutions. I sincerely appreciate their invaluable support.

Rick Johnson

CEO, Voi Health

Frequently Asked Questions

What is AI revenue cycle management?

AI revenue cycle management is the use of autonomous AI agents to handle claims processing, payer follow-up, denial resolution, prior authorization, and payment posting across the healthcare billing lifecycle. Instead of separate manual workflows, AI agents operate continuously within your existing systems to keep claims moving from submission to payment.

How does AI reduce claim denials?

AI claims scrubbing catches coding errors, eligibility gaps, and payer rule violations before claims are submitted. AI denial management detects denied claims, runs root cause analysis, and routes corrections or appeals automatically. Together, they reduce denial rates from the industry average of 10–15% down to 2–5%.

How does AI handle payer follow-up?

AI payer follow-up contacts payers directly by calling them and navigating IVR phone systems, and by checking payer web portals for claim status. Every interaction is captured and pushed back into your RCM as a structured status update with the next required action. No staff time on hold, no manual portal logins.

Can AI automate prior authorization?

Yes. AI prior authorization determines PA requirements in real time, pulls clinical documentation from the EHR using NLP, matches it against payer medical necessity criteria, submits requests across multiple channels, and tracks approvals. Staff recover 13+ hours per week previously spent on PA paperwork.

What results should we expect from AI in revenue cycle management?

Organizations using AI RCM software typically see clean claim rates rise to 95–99%, denial rates drop to 2–5%, days in AR fall below 30, and manual follow-up effort decrease by 40–60%. Prior authorization approval rates reach 96% on first pass. Results are measurable within the first operational cycle.

How quickly can AI agents be deployed in our revenue cycle?

Deployment typically takes weeks, not months. OSP connects to your existing systems, configures agents for your payer mix and claim types, and validates outcomes against your baseline. Your team maintains oversight while AI handles the volume from day one.

How is AI revenue cycle management different from RPA?

RPA follows static rules and scripts. AI revenue cycle management agents analyze claims data, make decisions, learn from payer responses, and take action autonomously across workflows.

Is AI revenue cycle management HIPAA-compliant?

Yes. OSP operates with HIPAA-compliant workflows, encrypted data exchange, role-based access controls, full audit trails, and PHI-safe data handling across every AI agent.

Can AI handle payer-specific rules?

Yes. Each AI agent applies payer-specific coverage policies, authorization requirements, filing deadlines, and adjudication rules individually — not a generic one-size-fits-all edit set.

Which RCM workflow should we automate first?

Start with your biggest operational gap — denial rework, payer follow-up delays, claim errors, or authorization bottlenecks. Our assessment identifies the highest-impact starting point.

Can OSP integrate AI RCM with our existing EHR and clearinghouse?

Yes. Native integrations with Epic, Cerner, AthenaHealth, Change Healthcare, Availity, and Waystar through HL7/FHIR APIs. No middleware, no migration, live in days.

How does OSP protect patient health information in AI RCM workflows?

All data is encrypted in transit and at rest. PHI-safe workflows ensure patient information is handled with HIPAA-compliant protocols across every AI agent and integration.

How is AI RCM different from traditional revenue cycle software?

Traditional RCM software organizes and reports. AI revenue cycle management takes action — scrubbing claims, contacting payers, resolving denials, and submitting authorizations autonomously within your workflow.

Why choose AI over RPA for revenue cycle automation?

RPA automates repetitive keystrokes on fixed rules. AI agents understand claim context, adapt to payer behaviour, make decisions, and handle exceptions RPA cannot.

Ready to Put AI to Work Across Your Revenue Cycle?

Tell us where your team loses the most time: denials, payer follow-up, prior authorization, claim errors, or A/R backlog. OSP will map the right AI agents to your workflows, payer mix, and existing systems.

30-minute walkthrough using your claim types and payer mix

ROI estimate based on your current volumes, denial rates, and follow-up backlog

Integration plan for your existing EHR and clearinghouse stack

Deployment roadmap tailored to your highest-impact use cases

Automate RCM Workflows.
From Intake to Payment.

RCM teams aren't short on data. They're short on execution capacity.

AI Agents Handle the Work Your Billing Team Repeats Every Day

Validates claims against payer and coding rules through AI claims scrubbing.

Automates payer outreach, IVR navigation, and status retrieval through AI payer follow-up.

Detects, analyzes, and resolves denied claims through AI denial management workflows.

Automates authorization checks, submissions, and approval tracking through AI prior authorization.