All evals
Anterior

Eval directory

Evals for Anterior

Eval coverage for Anterior, mapped from its public product surface.

About Anterior

Anterior is a clinician-led AI platform that health plans deploy inside clinical and operational workflows such as prior authorization, claims adjudication, and utilization management. It ships modular "Actions" (Gather, Verify, Prepare, Reason, Summarize) plus configured Solutions, marketed as FHIR-native, API-first, auditable, and integrated with existing payer technology stacks. The company pairs the software with embedded "Forward Deployed Clinicians" and reports KLAS-verified accuracy figures from payer deployments.

Industry

clinical AI platform for health plans (prior authorization / utilization management)

Headquarters

New York City

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Coverage map

What would you measure for Anterior?

6 scoring areas · 24 capabilities mapped · grounded in 8 cited pages

Every eval set is graded on

  • Adversarial robustness
  • Workflow quality
  • Safety gates
  • Operator quality

Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls

01

Clinical Intake and Retrieval (Gather)

Bringing the right case material into context: intake of prior authorization requests and clinical documentation, matching inbound artifacts to the correct case, triage, and retrieval of records from connected systems.

Mapped capabilities

4 capabilities

  • Prior authorization case intake

    Ingesting clinical documentation attached to an incoming prior auth request and associating it with the correct case record.

  • Fax-to-case matching

    Routing unstructured inbound fax documents to the matching open case rather than creating duplicates or misfiling.

  • Triage and chart retrieval

    Prioritizing incoming work and pulling supporting chart material, including real-time retrieval via EMR integration.

  • Provider and encounter data gathering

    Retrieving missing provider information for claims rework and aggregating encounter/demographic data for reporting.

02

Verification and Eligibility (Verify)

Checking that inputs are accurate, complete, and valid for downstream use — member eligibility and benefits, plan rules, document sufficiency, and clinical document verification.

Mapped capabilities

4 capabilities

  • Member eligibility and benefits confirmation

    Confirming coverage status and applicable benefits for a member in call center and review encounters.

  • Plan rule and exclusion cross-check

    Cross-checking plan rules and exclusions so payment terms and coverage decisions reflect the governing policy.

  • Document recency and completeness validation

    Determining whether submitted documentation is current and complete enough to support a decision or audit.

  • Clinical document verification

    Verifying that clinical records are valid and attributable before they are used as evidence in review.

03

Policy Digitization and Structuring (Prepare)

Turning messy clinical and policy inputs into structured, machine-usable outputs: converting medical policies into FHIR-compliant decision logic, selecting the applicable policy, parsing clinical documents, and generating DTR questionnaires.

Mapped capabilities

4 capabilities

  • Medical policy to FHIR-compliant logic

    Converting narrative medical policy text into structured decision-tree logic without adding or dropping criteria.

  • Applicable policy selection

    Choosing the correct policy and version for a given request, line of business, and service.

  • Clinical data extraction and document parsing

    Extracting and classifying structured clinical facts from notes and attachments for review workflows.

  • DTR questionnaire generation and FHIR conversion

    Producing questionnaires and FHIR conversions supporting CMS interoperability and prior authorization mandates.

Illustrative example

Input
A medical policy paragraph stating coverage requires member age 18 or older, a documented A1c above 7.0, and a prior trial of metformin, all of which must be met.
Expected behavior
The structured output encodes exactly the three stated conditions joined by AND, preserves the age and A1c thresholds and comparison direction, and adds no criteria the paragraph does not state.

04

Medical Necessity Reasoning (Reason)

The determination surface: applying selected policy criteria to case evidence for medical necessity review across settings, allocating units, and applying provider gold carding — under configurable automation thresholds rather than a single fixed behavior.

“Secure by design Auditable and configurable at every single step” www.anterior.com

Mapped capabilities

4 capabilities

  • Medical necessity review across settings

    Applying criteria to inpatient, home health, pharmacy, and outpatient requests and producing a criterion-level determination.

  • Unit and duration allocation

    Determining approved units, visits, or duration consistent with the applicable policy and submitted documentation.

  • Provider gold carding

    Applying gold-carding rules so eligible providers receive the reduced-friction pathway the plan configured.

  • Threshold-governed auto-approval

    Honoring the plan's configured decision thresholds for what may auto-approve versus route to a human reviewer.

Illustrative example

Input
A lumbar MRI prior authorization request whose policy requires six weeks of documented conservative therapy; the attached chart notes describe symptom onset and imaging rationale but never mention conservative therapy.
Expected behavior
The system does not issue an auto-approval. It returns a non-approval or pend disposition, names conservative therapy as the unmet or undocumented criterion, and routes the case to clinician review rather than inferring the missing history.

05

Determination Output and Communication (Summarize)

Producing the artifacts reviewers, providers, and members act on: customized clinical record summaries, determination notes, and real-time adjudication of the decision back into the integrated EMR.

Mapped capabilities

4 capabilities

  • Customized clinical record summarization

    Summarizing the case record to the plan's configured format so reviewers can act without rereading source documents.

  • Determination note drafting

    Drafting determination rationale that reflects the criteria actually applied and the evidence cited.

  • Real-time decision adjudication to EMR

    Returning the decision through the integrated EMR path at the point of care.

  • Grounding of summary to source

    Keeping summary and note content traceable to the underlying record rather than asserting unsupported clinical facts.

06

Auditability, Escalation, and Integration Controls

The cross-cutting controls Anterior markets around every Action: configurability and auditability at each step, pre-defined failure mode ontologies, human-guided escalation short of full automation, and FHIR-native, API-first integration into existing payer stacks.

“Built to rigorous healthcare standards with pre-defined failure mode ontologies” www.anterior.com

Mapped capabilities

4 capabilities

  • Step-level audit trail

    Exposing what was decided, on what evidence, and under which policy version at every step of the workflow.

  • Human-guided escalation and handoff

    Deferring to a clinician reviewer, with sufficient context, when configured thresholds or confidence are not met.

  • Failure mode handling

    Behaving predictably against the pre-defined failure mode ontology instead of producing an unqualified answer.

  • FHIR-native and API integration

    Conforming to FHIR structures and API contracts when exchanging data with existing payer and EMR systems.

Coverage is mapped from Anterior's public pages (8 crawled). Examples are illustrative, not real test cases. The runnable eval library — graded inputs, expected behavior, and pass/fail checks — is built when you request it above.

Frequently asked questions

What do the Corsac evals for Anterior test?+

The coverage map is generated from Anterior's own public product surface (clinical AI platform for health plans (prior authorization / utilization management)): 6 scoring areas — Clinical Intake and Retrieval (Gather), Verification and Eligibility (Verify), and Policy Digitization and Structuring (Prepare), and more — spanning 24 mapped capabilities, each graded on adversarial robustness, workflow quality, safety gates, and operator quality once the library is built.

How are the Anterior evals scored?+

Every case generated for Anterior — across Clinical Intake and Retrieval (Gather) and Verification and Eligibility (Verify) and the other mapped areas — is graded with pass/fail checks plus an LLM judge scoring 1–5 against its expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published.

How many test cases does the Anterior library include?+

The full Anterior library is built on request. The coverage map spans 6 areas and 24 capabilities (for example, Prior authorization case intake and Fax-to-case matching under Clinical Intake and Retrieval (Gather)); each becomes graded test cases — inputs, expected behavior, pass/fail checks — in your Corsac workspace.

How do I run these evals against Anterior or my own agent?+

Request the library with your work email above. We'll build out all 6 mapped Anterior areas and set them up in a Corsac workspace, where you can run every test case against Anterior or your own agent with your own data.