
Utilization Management
Automated approvals and faster reviews
Automate more approvals without sacrificing accuracy, and accelerate reviews that still need a clinician.
Anterior's programs reduce MEDEX and OPEX whilst improving member outcomes and provider satisfaction. Our programs are designed around Florence: our clinical AI system for regulated and complex environments.
Florence is our AI system designed specifically for performing highly regulated and complex work in health plan environments.
Proven across the breadth of plan workflows
Built on frontier models that can reason and work across modalities — charts, faxes, structured feeds, and policy text — so Florence handles clinical and administrative work across utilization management, case management, HEDIS, risk adjustment, and payment integrity.
Captures organizational knowledge
Florence encodes how your plan actually decides: tacit knowledge, accepted evidence, and organizational interpretations of policy and thresholds. Those standards stay version-controlled and reusable, so every workflow reflects the way your organization works.
Evaluation and feedback built in
Synthetic data and large-scale evaluation catch issues before deploy. In production, feedback from LLM checks and human review flows back into the system so Florence keeps improving with every case.
Complete traceability of reasoning
Each outcome includes the reasoning and supporting evidence behind it — relevant record findings and the specific policy criteria applied — so any result can be reviewed and substantiated on demand.
Immutable decision ledger
Every action, from record access through final outcome, is written to an immutable ledger of events. That record keeps all activity auditable for appeals, regulatory review, and internal quality assurance.
Compliant by construction
Built to HIPAA, SOC 2, NCQA/URAC, and applicable federal and state AI and interoperability requirements. Work completes automatically only where criteria are clearly met; otherwise Florence escalates to a qualified human with a sourced evidence packet.
Ingests data in its existing form
Florence uses FHIR internally and normalises inbound data on ingestion, so plans keep current formats and channels. Supported inputs include X12 EDI, HL7 v2, C-CDA, NCPDP, SFTP extracts, proprietary feeds, and unstructured PDFs, faxes, and scans.
Standard and bespoke integration paths
Documented SDKs and APIs expose Anterior's production capabilities directly for common plan systems, with clear contracts for production traffic. Bespoke integration remains available wherever a plan's architecture requires a custom path.
Flexible deployment
Interface components can run standalone or embedded in existing plan systems. Florence operates as autonomous background agents or under human-in-the-loop review, fitting the plan's operating model rather than reshaping it.