Payment Integrity (Payers)

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Strengthen payment integrity with agentic AI

Detect improper payments before they happen and recover lost dollars automatically—with full transparency and auditability.

Payment Integrity (Payers)

Healthcare Payers

430

Running

70%

Reduction in payment errors

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

The hidden cost of payment errors

Improper payments

Billions are lost annually due to incorrect coding, duplicate claims, and overpayments that slip through manual checks.

7–10 % of total claims contain coding or pricing discrepancies

Manual, after-the-fact audits

Most payers find issues post-payment, leading to recovery delays, provider abrasion, and compliance risks.

10–15 % of payments require post-adjudication correction

Limited visibility

Without real-time insight into claims integrity, teams miss early warning signs of systemic leakage.

$1–3 M in annual leakage for mid-size payers due to missed anomalies

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End-to-end payment integrity automation

Pre-payment validation

AI employees scan claims before payment to detect coding errors, duplicates, and out-of-policy billing.

Automated recovery
Automated recovery
Automated recovery

Identify overpayments, generate recovery letters, and track recoupments automatically.

Provider pattern analysis
Provider pattern analysis
Provider pattern analysis

Spot anomalies, outliers, and potential fraud using adaptive AI models trained on historical payment data.

Compliance reporting
Compliance reporting
Compliance reporting

Generate audit-ready documentation for regulators and internal compliance teams automatically.

How it works: Implement in minutes not months

How it works: Implement in minutes not months

1) Detect anomalies in real time

AI employees analyze every claim against historical trends, provider profiles, and policy rules.

2) Intercept and validate

AI employees analyze every claim against historical trends, provider profiles, and policy rules.

3) Continuous learning and audit

Feedback loops from post-payment audits continuously retrain detection logic and strengthen compliance.

2) Intercept and validate

Suspicious claims are paused automatically, reviewed, and corrected before funds are disbursed.

3) Continuous learning and audit

Feedback loops from post-payment audits continuously retrain detection logic and strengthen compliance.

Stop leakage before it starts

70%

Reduction in payment errors

Prevent overpayments by catching anomalies at the source.

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

“Payment integrity used to be entirely reactive. Magical catches overpayments before they happen and even automates recovery—millions saved in leakage already.”

CFO, Mid-Market Payer

CFO, Mid-Market Payer

“Instead of waiting weeks for post-pay audits, we’re catching issues before checks go out. It’s the first time our integrity team has gotten ahead of the problem.”

Director of Payment Integrity, National MCO

Director of Payment Integrity, National MCO

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 how Magical improves payment integrity

FAQs

Frequently asked questions

Frequently asked questions

Does Magical detect fraud or just errors?

Both—our AI identifies improper billing patterns, outliers, and potential fraud scenarios using explainable logic.

Can it integrate with SIU systems?

Yes—Magical connects via API or works alongside your existing SIU analytics tools.

How is accuracy validated?

Each AI employee is monitored by AI judges that score precision, recall, and speed on every run.

How long to deploy?

Most payers are live within 3 weeks on a defined subset of claims.

Is data secure?

All workflows are HIPAA compliant and run within secure, auditable environments.