SilicoHealth AI  ·  Prior Auth Platform

The Intelligence Layer: Automating Prior Auth with Agentic AI
From weeks of manual friction to hours of autonomous decisioning
Faster Decisions · Fewer Denials · Lower Cost

Prior authorization and utilization management were designed as cost-control mechanisms. Instead, they have become the single biggest source of friction in the healthcare system. Manual workflows, siloed data, and rule-based automation have pushed payers to a breaking point  one where operational costs are rising even as outcomes stagnate.

1

Administrative Overload

Payer staff spend 60–70% of their time on administrative tasks that add no clinical value. Every PA request demands manual data entry, phone calls, and redundant documentation across disconnected systems.

2

Clinical Friction

Physicians lose an average of 2+ hours per day to PA tasks. Delays in authorization directly delay care  with downstream impacts on readmissions, member satisfaction, and quality scores.

3

Compliance Exposure

CMS and state regulators are tightening PA timelines and denial standards. Manual processes cannot keep pace with evolving requirements, creating audit risk and liability exposure for plans.

AI Architecture

A Unified Platform Built for Payer Operations

Most payers today manage prior authorization through a sequence of disconnected steps  each handled by a different team, system, or vendor. GovernAI replaces this fragmented chain with an end-to-end agentic AI system that learns, adapts, and acts in real time.

⚠ CURRENT STATE: MANUAL & FRAGMENTED
1

Fax / Phone Submission

Provider submits via fax; staff manually routes requests.

2

Manual Data Entry

Staff re-keys clinical info into PA system — error-prone & slow.

3

Nurse Review Queue

Requests queue for nurse review; average 2–3 day wait.

4

MD Peer Review

Complex cases escalate to physicians; bottleneck adds 2–5 days.

5

Manual Notification

Staff manually sends letters; no real-time status updates.

✓ AGENTIC AI STATE: AUTONOMOUS & INTELLIGENT
1

Omnichannel AI Intake

Portal, fax, API & phone requests auto-extracted instantly.

2

AI Agent Intake & Triage

AI classifies, prioritizes and routes requests in seconds.

3

Real-Time Clinical AI Review

NLP-driven guideline matching and automated approvals.

4

Auto-Determination or Escalation

Routine cases approved automatically; complex cases escalated.

5

Instant Multi-Channel Notification

Real-time status updates via portal, EHR and member app.

Agentic AI Architecture

A Unified Platform Built for Payer Operations

GovernAI’s architecture is purpose-built for the complexity of payer operations  combining a secure data platform, multi-agent AI orchestration, and clinical intelligence into one integrated system.

◈ PLATFORM LAYER
EHR / EMR Integration (HL7 FHIR, HL7 v2)
Payer Core & Claims Systems
Provider Portal & API Gateway
HIPAA-Compliant Data Lake
Real-Time Event Streaming
🤖 AGENTIC AI ENGINE
Intake & Extraction Agent
Clinical Guideline Matching (MCG / InterQual)
Risk Stratification & Triage Agent
Auto-Determination Engine
Audit Trail & Explainability Layer
🩺 CLINICAL SERVICES LAYER
AI-Assisted MD Review Dashboard
Peer-to-Peer Coordination Workflow
Appeals & Grievance Management
Member & Provider Notification Hub
Regulatory Reporting (CMS, State)

Step-by-Step Workflow

Before & After: The Prior Auth Transformation

See exactly how each step in the prior authorization process transforms when GovernAI’s agentic AI system takes over from manual operations.

BEFORE

Provider Submits Fax

Manual input

Error Prone

Staff Manual Entry

Re-keying data

Slow

Nurse Review Queue

Queue: 2–3 days

Backlog

MD Review 2–5 Days

Bottleneck

Delayed

Manual Notification

Letters & Calls

No Visibility
VS.
AFTER
AI

Omnichannel Request

Any channel

Instant
AI

AI Agent Intake

Auto-extracted

<60 Secs
AI

Real-Time Clinical AI

Guideline match

<1 Min AI
AI

Auto-Determination

70%+ Auto-approved

Instant
AI

Instant Notification

Portal + EHR Push

Real-Time
Metric Before: Manual PA After: Agentic AI Improvement
PA Turnaround Time 3–14 Days < 4 Hours -90%
Auto-Approval Rate < 15% > 70% +55pp
Staff Hours per 100 PAs 120+ Hours < 30 Hours -75%
Denial Rate 40%+ < 12% -28pp
Appeals Resolved < 7 Days 35% > 85% +50pp
Regulatory Audit Readiness Manual Docs Auto-Generated 100%

Platform Capabilities

What GovernAI Delivers for Prior Auth & UM

AI-Powered PA Intake

Any-channel request submission (portal, fax, phone, API) with AI-driven data extraction and auto-population eliminating manual entry and reducing intake errors by >80%.

Bias & Fairness Auditing

Demographic parity, equalized odds, and calibration with healthcare-specific fairness benchmarks calibrated to known disparities.

Autonomous Determination Engine

Agentic AI systems handle routine authorization decisions without human touch applying learned patterns from millions of prior decisions to achieve 70%+ straight-through processing.

Utilization Management Intelligence

Prospective, concurrent, and retrospective UM workflows powered by AI-driven risk stratification, care pathway optimization, and predictive analytics for high-cost member identification.

Compliance & Audit Automation

Auto-generated audit documentation, CMS-compliant turnaround time tracking, denial letter generation, and real-time regulatory dashboard for state and federal reporting.

Appeals & Grievance Management

AI-assisted appeals intake, evidence gathering, and resolution reducing appeals processing time by 60% and improving first-level resolution rates to exceed regulatory thresholds.

The GovernAI Architecture

A 4-Layer Governance Framework

GovernAI maps every regulation, standard, and accreditation requirement into a single unified compliance architecture  so your team governs once, not four times.

Pillar 01

Intake & Triage Intelligence

Agentic AI systems handle intake, triage, and clinical review documentation across all channels  with real-time NLP extraction, structured output, and smart routing to the right workflow.

Pillar 02

AI-Driven Risk Stratification

AI-driven risk stratification uses member history, diagnosis codes, and treatment patterns to predict authorization outcomes, flag high-risk cases, and optimize clinical resource allocation

Pillar 03

Compliance & Transparency

Agentic AI systems track every determination, generate explainable audit trails, and produce regulatory-ready documentation  ensuring full compliance with CMS, NCQA, and state mandates at all times.