Utilization Management (Payers)

READY-TO-DEPLOY AI AGENTS

Modernize utilization management with agentic AI

Automate medical necessity reviews, improve consistency, and ensure compliance with CMS utilization management reforms.

DEPLOYMENT TIME

4-6 weeks

AUTOMATION RATE

90%+

AUTOMATION ACCURACY

95%+

DEPLOYMENT TIME

4-6 weeks

AUTOMATION RATE

90%+

AUTOMATION ACCURACY

95%+

DEPLOYMENT TIME

4-6 weeks

AUTOMATION RATE

90%+

AUTOMATION ACCURACY

95%+

Why utilization management is under fire

Inconsistent clinical decisions

Traditional UM processes rely on subjective review and fragmented data.

30–60 minutes per case spent on manual clinical review

Compliance and transparency risk

CMS and state regulators are demanding transparent UM workflows and documentation.

25% of denials overturned due to documentation errors

Operational inefficiency

Each review takes hours and requires multiple staff—costs rise while turnaround times slip.

1–4 reviewers touch each case before final determination

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Automate key steps of utilization management

This agent is pre-trained to run the entire authorization workflow. Deploy once on your systems, and it continuously processes incoming requests.

Pre-service review

AI employees analyze clinical documentation, compare against coverage criteria, and recommend determinations with supporting rationale.

Real-time updates
Real-time updates

Monitor inpatient stays and automatically surface medical necessity checkpoints as documentation arrives.

Post-service review
Post-service review

Detect improper payments and streamline peer review by pre-assembling evidence packets.

Audit and reporting
Audit and reporting

Generate compliant audit logs for CMS, NCQA, and state UM reporting automatically.

Deploy one agent or automate the entire workflow

Deploy one agent or automate the entire workflow

1) Intake and classification

AI employees read inbound UM requests, extract structured data, and classify them by service type and urgency.

2) Criteria evaluation

AI employees read inbound UM requests, extract structured data, and classify them by service type and urgency.

3) Determination and reporting

Generate determination documentation, provider notifications, and compliance reports—all automatically.

2) Criteria evaluation

Automatically match against InterQual, MCG, or plan-specific criteria; flag exceptions for clinician review.

Transform UM outcomes

85%

Automated UM cases

Reduce manual review workload with consistent, explainable AI-driven decisions.

2–3 weeks

Typical time to go live

Deploy fast without heavy integrations or technical support.

100%

Audit-ready transparency

Every action is logged for compliance and internal QA review.

90%

Reliability end-to-end

Reduce operational costs while improving provider experience.

Works across your existing healthcare systems

What healthcare payers are saying

“Before Magical, UM decisions were inconsistent across reviewers. Now every case follows the same criteria and audit trail—our appeal rate is down 40%.”

Director of Clinical Operations, Medicaid MCO

Director of Clinical Operations, Medicaid MCO

See how agentic AI modernizes UM