Agentic AI employees for healthcare

Explore our custom AI employees for critical back office, revenue cycle, and administrative healthcare workflows. Some of our most popular include full automations for:

1. Prior authorizations
2. Claims processing
3. Insurance verification
4. Payment posting
5. Patient enrollment
6. Denial management
7. Claim scrubbing
8. Credentialing
9. Charge reconciliation

How Magical works

Fully automate rev cycle workflows

Use an AI employee trained specifically in revenue cycle management to automate entire processes end-to-end. (No human oversight required.)

Lower your cost to collect

Unlock the efficiency of a machine. Magical pulls patient patient data directly from one system into another, to minimize insurance denials and delays.

Built for enterprise security

Maintain the highest levels of security and privacy. We never store any personal health info on our servers. 

Daily Automated Testing | Automation Logs | SOC2 & HIPAA Compliant

Best-in-class reliability

Get over 90% success rates on end-to-end automations of any complex workflow. Magical uses multi-agent evaluation infrastructure to ensure your automations are running smoothly. 

Performance monitoring

Dive into complete logs of every single step of every single automation to give your team clear visibility into success rates and edge cases. 

Who we are

A blended team of 40+ technology and healthcare experts. Not only will you be working with agentic AI engineers, but also seasoned rev cycle experts. 

Why we’re trusted

Over 100,000+ companies—including WebPT, Phreesia, SonderMind, and Curalta—trust Magical automations for the following reasons:

1. Fast: 1 week average implementation time
2. Reliable: 90%+ average success rate end-to-end
3. Proven: 100% agentic automation (no bots)
4. Scalable: Magical runs entirely on virtual machines
5. Interoperable: Magical can rapidly integrate with any system
6. Compliant: Magical is SOC 2 and HIPAA-compliant

Magical is an agentic AI platform that fully automates complex workflows in just one week. Put your back office on autopilot with AI employees that use human-like decision-making and best-in-class reliability. 

Who we are

A blended team of 40+ technology and healthcare experts. Not only will you be working with agentic AI engineers, but also seasoned rev cycle experts. 

Why we’re trusted

Over 100,000+ companies—including WebPT, Phreesia, SonderMind, and Curalta—trust Magical automations for three key reasons:

1. Fast: 1 week average implementation time
2. Reliable: 90%+ average success rate end-to-end
3. Proven: 100% agentic automation (no bots)

About the technology

Fully agentic

Magical AI agents use reasoning models, real- time data retrieval, and goal-based execution to make your automations more reliable than traditional rule-based approaches. They can adapt to changes on the fly, and learn from failures. 

Best-in-class reliability

Get over 90% success rates on end-to-end automations of any complex workflow. Magical uses multi-agent evaluation infrastructure to ensure your automations are running smoothly. 

Performance monitoring

Dive into complete logs of every single step of every single automation to give your team clear visibility into success rates and edge cases. 

Scalable

Magical runs entirely on virtual machines

Interoperable

Magical can rapidly integrate with any system

Compliant

Magical is SOC 2 and HIPAA-compliant

Amy - AI Medical Coding solution revolutionizes healthcare revenue cycle management through advanced artificial intelligence that transforms clinical documentation into accurate, compliant medical codes across CDI, audit, and coding operations.

Clinical Documentation Improvement: Amy analyzes physician notes in real-time, identifying documentation gaps and suggesting clinical details needed for optimal coding. Amy flags incomplete diagnoses and missed documentations, enabling proactive CDI specialist engagement.

Audit Capabilities: Amy performs continuous compliance monitoring by cross-referencing coded claims against clinical evidence. Amy identifies coding discrepancies, highlights high-risk cases, and generates detailed audit trails, reducing compliance risks and claim denials.

Medical Coding Excellence: Amy automates complex coding workflows, handling 80%+ cases autonomously, interpreting clinical narratives and assigning accurate ICD-10, CPT, and HCPCS codes. Amy handles multi-specialty scenarios and HCC management while providing confidence scores for human review.

Customization & Integration: Amy's flexible architecture ingests hospital-specific coding grids, payer requirements, and institutional guidelines. The platform adapts to organizational workflows while maintaining established coding practices, ensuring AI recommendations align with each facility's unique standards.

Healthcare organizations experience improved coding accuracy, reduced administrative costs, enhanced compliance, and faster revenue realization with Amy, who continuously learns from coding patterns and delivers increasingly personalized solutions.

CombineHealth AI tranforms Revenue Cycle Management with AI Solutions

Intelligence vs Documentation

Amy: Actively analyzes and interprets clinical documentation with 99.2%+ coding accuracy using advanced AI algorithms

EHRs: Primarily store and organize patient data without intelligent code interpretation or suggestion capabilities

Automation vs Manual Processing

Amy: Fully automated medical coding that processes complex provider notes instantly without human intervention

EHRs: Require manual code entry by human coders, leading to potential errors and processing delays

Specialization vs General Purpose

Amy: Purpose-built AI medical coder specializing exclusively in ICD-10, CPT, and HCPCS coding across multiple medical specialties.

EHRs: General-purpose patient management systems with basic coding modules as secondary features.

Proactive vs Reactive Approach

Amy: Proactively identifies coding opportunities, documentation gaps, and compliance issues before claim submission.

EHRs: Reactively store coded information after human coders have already processed the documentation.

Revenue Optimization vs Record Keeping

Amy: Designed to maximize revenue capture through accurate coding, reducing claim denials and improving collections.

EHRs: Focus on clinical workflow and patient record management rather than revenue cycle optimization.

Continuous Learning vs Static Systems

Amy: Continuously updates with new coding guidelines, regulations, and medical procedures through AI learning

EHRs: Require manual updates and configuration changes for new coding requirements and regulations.

Superior Accuracy Performance

Amy by CombineHealth stands out in the competitive landscape of AI medical coding solutions by delivering unparalleled accuracy and comprehensive automation capabilities. While other AI coding platforms in the market typically achieve accuracy rates between 85-95%, Amy consistently maintains an industry-leading 99.2%+ coding accuracy across all medical specialties. This superior performance translates directly into increased revenue capture for healthcare facilities across the United States, Canada, and other markets where accurate medical coding is critical for reimbursement. Unlike competing solutions that often require extensive human oversight and correction, Amy's advanced artificial intelligence algorithms minimize coding errors and reduce the need for manual intervention, making it the preferred choice for hospitals, clinics, and healthcare systems seeking optimal revenue cycle management.

Integrated Clinical Documentation Integrity (CDI) Capabilities

The integration of Clinical Documentation Integrity (CDI) capabilities within Amy's core platform represents a significant competitive advantage over other AI medical coding solutions. While most competing platforms treat CDI as a separate add-on service or require integration with third-party systems, Amy's built-in CDI functionality proactively identifies documentation gaps and ensures coding compliance from the outset. This integrated approach eliminates the need for healthcare organizations to invest in multiple separate solutions, reducing both implementation complexity and ongoing operational costs. Healthcare facilities in major metropolitan areas like New York, Los Angeles, Chicago, and Toronto benefit from Amy's streamlined approach, which addresses coding accuracy and documentation quality simultaneously without requiring additional software licenses or training programs.

Unified Revenue Cycle Integration

Amy's comprehensive AI solution approach distinguishes it from single-function coding solutions in the healthcare technology market. While other platforms focus exclusively on coding automation, Amy works in tandem with other CombineHealth's AI solution for billing, eligibility verification, charge entry, payment posting and appeals, to provide end-to-end revenue cycle management automation. This integrated solution eliminates the common problem of coding and billing disconnects that plague many healthcare organizations using disparate systems. Healthcare providers across diverse geographic markets, from rural hospitals to large urban medical centers, benefit from this seamless integration that ensures coded claims are processed efficiently through the entire billing cycle without manual handoffs or system compatibility issues.

Specialty-Specific Medical Expertise

Amy's specialty-specific expertise across multiple medical disciplines provides competitive differentiation in markets where other AI solutions offer one-size-fits-all approaches. The platform's deep knowledge of coding requirements for Anesthesiology, Emergency Medicine, Orthopedics, Pathology, and other specialties ensures accurate code assignment regardless of the complexity or specialty focus of the healthcare organization. This specialized intelligence is particularly valuable for multi-specialty practices, academic medical centers, and integrated healthcare systems that require consistent coding accuracy across diverse medical services. Healthcare organizations choosing Amy benefit from a solution that understands the nuances of specialty-specific coding guidelines and grids, resulting in higher reimbursement rates and reduced claim denials compared to generic AI coding platforms in the competitive marketplace.