Claims Processing (Payers)

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Automate claims processing with agentic AI

Accelerate adjudication, reduce rework, and improve payment accuracy—without replacing your core claims system.

Claims Processing (Payers)

Healthcare Payers

3,023

Running

10x

Faster claim throughput

AVG IMPLEMENTATION TIME

3 weeks

AUTOMATION SUCCESS RATE

90%+

PILOT TO PRODUCTION RATE

1:1

AVG IMPLEMENTATION TIME

3 weeks

AUTOMATION SUCCESS RATE

90%+

PILOT TO PRODUCTION RATE

1:1

AVG IMPLEMENTATION TIME

3 weeks

AUTOMATION SUCCESS RATE

90%+

PILOT TO PRODUCTION RATE

1:1

Why claims operations struggle to scale

Fragmented systems

Multiple legacy systems and manual processes create bottlenecks and inconsistent adjudication outcomes.

30–45 minutes per claim spent navigating multiple platforms

High error rates

Inaccurate data entry and complex rules drive costly payment errors and member dissatisfaction.

5–10 % of claims contain data or coding inaccuracies

Rising administrative costs

Payers spend millions annually on manual claim handling, adjustments, and rework.

20–25 % of total operating expense tied to manual claim handling

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AI-powered claims automation

Data validation and enrichment

AI employees validate claim data against eligibility, provider, and policy information before adjudication.

Smart routing
Smart routing
Smart routing

Automatically classify and route claims based on complexity, provider type, and line of business.

Adjudication support
Adjudication support
Adjudication support

Apply payment rules, detect discrepancies, and pre-flag potential denials or duplicates.

Post-adjudication review
Post-adjudication review
Post-adjudication review

Audit processed claims and identify overpayments or missing data for correction before payment.

How it works: Implement in minutes not months

How it works: Implement in minutes not months

1) Data validation

AI employees extract and validate claim data against payer rules and provider contracts.

2) Adjudication and QA

AI employees extract and validate claim data against payer rules and provider contracts.

3) Audit and correction

Each run is logged and scored by AI judges for accuracy, ensuring continuous improvement.

2) Adjudication and QA

AI applies coverage logic, pricing rules, and compliance checks—flagging exceptions automatically.

3) Audit and correction

Each run is logged and scored by AI judges for accuracy, ensuring continuous improvement.

Results you can measure

10x

Faster claim throughput

Reduce cycle time from days to hours with agentic automation.

2–3 weeks

Typical time to go live

Deploy fast without heavy integrations.

100%

Audit-ready transparency

Every action is logged for compliance and internal QA review.

90%

Reliability on end-to-end workflows

Reduce operational costs while improving provider experience.

What healthcare payers are saying

“Claims accuracy went up immediately after deployment. The AI flags duplicates, coding errors, and out-of-policy claims before they ever reach payment.”

VP of Claims Administration, Provider-Sponsored Health Plan

VP of Claims Administration, Provider-Sponsored Health Plan

“Magical integrates seamlessly with our legacy systems. We went live in under a month and cut claim turnaround by 80% without touching our core platform.”

COO, Regional Payer

COO, Regional Payer

Security & compliance

HIPAA compliant

Magical processes all data locally with zero PHI storage

SOC 2 Type II certified

Enterprise-grade security with regular third-party audits

Secure Authentication

Single Sign-On (SSO) and multi-factor authentication options

See automated claims processing in action

FAQs

Frequently asked questions

Frequently asked questions

What systems does this integrate with?

Works with major payer platforms including QNXT, Facets, HealthEdge, and custom legacy systems.

How accurate is the automation?

AI employees maintain 95%+ accuracy and continuously self-correct through AI judge monitoring.

Does it support pre- and post-payment audits?

Yes—Magical automates validation both before and after adjudication, preventing overpayment and leakage.

Can it handle attachments and unstructured data?

AI reads PDFs, scanned docs, and EDI data to extract relevant claim details automatically.

How long to implement?

Payers typically go live in 3–4 weeks without any core system modifications.