Utilization management is the process health plans use to decide whether a requested service, test, or treatment is medically necessary before, during, or after care is delivered. It covers far more than prior authorization: intake and eligibility checks, medical necessity review against clinical criteria, concurrent and retrospective review, peer-to-peer escalation, determination letters, and the compliance reporting regulators and accreditation bodies require.
Done manually, UM is slow and expensive. Reviewers spend hours reading faxed documentation, applying criteria by hand, and chasing missing clinical evidence. Members wait longer for care decisions. Providers get frustrated with inconsistent turnaround times. AI is changing that. Modern UM platforms extract clinical evidence from unstructured documents, apply plan-specific medical necessity criteria in real time, and route only the cases that genuinely need a human reviewer. According to Innovaccer's 2025 AI Trends in Healthcare report, nearly 47% of physicians rank automated administrative systems as a top investment priority, and payers are moving just as fast to modernize UM operations ahead of new interoperability and prior authorization rules.
Here are five vendors standing out for their approach to AI-driven utilization management in 2026.
1. Innovaccer Utilization Management Solution (Galaxy UM)
Galaxy UM automates the full UM lifecycle rather than a single step in it. Requests are captured and normalized across FHIR API, provider portal, EDI X12 278, and fax or OCR channels, with natural language processing pulling clinical evidence from unstructured documents at intake and eligibility verified immediately. The platform evaluates each request against plan-specific medical necessity criteria, configurable by CPT code, line of business, and gold-card program. Qualifying requests are approved in real time. Every other case is escalated with an AI-prepared clinical summary, never auto-denied, so reviewers spend their time deciding instead of searching for information. Physician peer review is enforced for all adverse determinations, and determination letters are sent automatically across portal, email, or fax. A real-time dashboard tracks approval rates, turnaround times, cost per authorization, and denial trends across every line of business. The platform supports CMS-0057-F requirements and URAC audit readiness alongside HIPAA, HITRUST, SOC 2 Type II, and NCQA certification.
2. Cohere Health
Cohere Health built its platform around clinical intelligence rather than forms processing. It integrates with EHRs so reviewers manage authorizations without leaving their existing workflow, and its AI aligns coverage decisions with medical guidelines rather than checking a request against a static payer rules list. Automation runs through the full review chain, and exception handling and status tracking give UM teams visibility into where a case sits at any point in the process.
3. Availity
Availity's Intelligent Utilization Management product connects payers and providers on a shared platform rather than a point solution bolted onto either side. It centralizes authorization submission, clinical documentation exchange, and status tracking so both sides work from the same record. Its scale across national and regional payer connections is a differentiator for health plans managing UM across broad, multi-state provider networks.
4. Xsolis
Xsolis applies predictive AI to concurrent review, using its CORTEX platform to score the likelihood a case will be approved and flag thin clinical documentation before a decision is made. That shifts UM from reactive, after-the-fact review toward real-time risk scoring. The platform is built specifically around inpatient utilization review, with adoption among hospital-side case management teams as well as payers.
5. Evolent Health
Evolent Health approaches utilization management as a managed service wrapped around a technology platform, making it a distinct option for health plans that want to delegate UM operations rather than build internal capacity. Its specialty-focused offering covers prior authorization, concurrent review, and care management for high-cost specialties including musculoskeletal, cardiology, and oncology. For plans lacking internal clinical staffing or looking to offload a specific specialty line, Evolent offers a model a pure software vendor cannot replicate. Plans that want to own and operate UM internally will find the managed-service dependency at odds with that goal.
Why UM Still Hurts, and What AI Changes
The logic behind UM makes sense: confirm a service is medically necessary before, during, or after it is delivered. In practice, the process is slow enough to become its own source of friction. Manual documentation review, cases piling up against turnaround-time requirements, and inconsistent criteria application all lead to appeals, provider frustration, and member complaints.
AI does not remove clinical judgment from UM. It removes the manual work around it. Intelligent systems extract the clinical evidence a reviewer would otherwise hunt for, apply criteria consistently, and clear straightforward cases without a person touching them. What remains for human reviewers is the genuinely ambiguous set, which is where clinical judgment adds the most value. This matters more now that CMS-0057-F sets firm turnaround-time and transparency requirements. Health plans still relying on manual review are running against a compliance clock as well as a cost problem.
What to Look for in a UM Solution
Full lifecycle coverage matters more than intake automation alone. A complete platform carries a request through intake, medical necessity evaluation, clinical review, determination, and compliance reporting for both inpatient and outpatient requests. Evidence extraction from unstructured notes and faxes is where review time actually gets recovered. Criteria must be configurable by CPT code, line of business, and program. Adverse determinations should always be routed to a human reviewer with a prepared clinical summary. And compliance readiness, documented turnaround times, denial reasoning, and appeal rights need to be native to the platform.
The question for health plans in 2026 is not whether to bring AI into utilization management. It is which platform covers the full lifecycle, keeps pace with CMS-0057-F requirements, and proves it with real compliance and performance data. See how Innovaccer's Utilization Management Agent covers intake through determination, or book a demo to walk through it directly.
