Neutrino
Solution

Payor Rules Engine

Policy intelligence, always current.

A continuously-updated, machine-readable view of payor policies — so every downstream workflow decides with current truth.

HubsSpecialty PharmacyProvidersPharma market access
Payor Rules Engine
Conceptual view — payer PDF → LLM parse → structured rules.
Problem

Why Patient Access teams need this

The realities we hear from operators — the ones that don't show up in product demos.

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Policy churn

Coverage rules change often and vary by plan, geography, and product.

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Manual interpretation

Operations teams rely on tribal knowledge and stale PDFs.

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Inconsistent decisions

Same case treated differently depending on who picks it up.

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Market access blind spots

Pharma teams can't see policy trends until impact has already landed.

What this solves

Outcomes, not algorithms

We lead with the business outcome — the mechanism sits behind a stable interface.

Structured policy library

Rules represented as machine-readable, explainable logic.

Workflow-embedded decisions

Hub, SP, and PA flows call the engine rather than humans interpreting PDFs.

Change intelligence

Alerts when a policy change would affect in-flight cases.

Market access visibility

Pharma sees coverage posture shifts as they happen.

How it works

A controlled view of the flow

We share the stages — not the internal logic, models, or scoring methods.

1Stage
Discover
Public payer sites, CMS, licensed feeds — sourced continuously.
2Stage
Acquire
Raw documents collected and versioned.
3Stage
Normalize
Canonical parsing → atomic rule extraction (deterministic + NLP + LLM).
4Stage
Serve
Directory API for payer/therapy/drug/indication/rule views.
5Stage
Track
Rule-level diffs and audit trail over time.
High-level stages shown — internal logic, models, and scoring methods are intentionally abstracted.
Agents at work here

The agents that run inside this solution

Each agent operates inside explicit boundaries — with confidence thresholds, audit logs, and human escalation built in.

Ecosystem fit

Where this sits in Patient Access

This capability isn't a silo — it plays with every actor across the journey.

Hub
Consults the engine during benefits verification.
AccessFlow AI
Uses structured policy for packet assembly.
Pharma market access
Consumes coverage posture dashboards.
Specialty Pharmacy
Validates pre-fill checks.
Value delivered

Measured against the metrics that matter

We publish outcome ranges, not point claims — every number is validated in-context.

Denial rate
Lower preventable denials from misread policy.
Cycle time
Faster benefits and PA resolution.
Policy-to-impact lag
Awareness shifts from weeks to days.
Deployment

Fits the way you work

Embed inside your platform, run alongside it, or consume through API — your call.

Embedded
Surfaced directly inside your existing UX.
Sidecar
Runs alongside your platform without disrupting it.
API
Consume capabilities programmatically.
Ready when you are

See Payor Rules Engine in your environment.

A focused walkthrough against scenarios that mirror your hub or SP — no theoretical decks.