Enterprise AI Agentic Patient Financial Engagement Platform
Deploys a **Fortune 500-grade multi-agent AI platform** with propensity-to-pay ML models, risk assessment, payment plan optimization, multi-channel communication strategy, SDOH integration, GenAI patient advocacy, real-time eligibility, Good Faith Estimates, and comprehensive explainability including SHAP values and fairness analysis..
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Agent Input Console - Patient demographics and financial information entry with feature engineering pipeline visualization
Agent Execution DAG - Real-time multi-agent workflow visualization showing 12 specialized agents with execution status and distributed tracing
Agent Thinking & Reasoning Stream - Live visibility into agent decision-making with observations, reasoning chains, and planning steps
Results & Success Dashboard - Final patient financial engagement outcome with propensity scoring, risk assessment, and recommended strategy
AI Agents
Specialized autonomous agents working in coordination
Propensity-to-Pay Scoring Agent
Treating all patients with the same collection approach wastes resources on unlikely-to-pay accounts and alienates patients who would pay with appropriate engagement.
Core Logic
Calculates patient propensity-to-pay scores using ML models with feature contributions from income, employment, payment history, and engagement metrics. Provides SHAP value explanations, confidence intervals, and counterfactual suggestions for score improvement.
Financial Risk Assessment Agent
Default risk varies significantly by patient, and understanding risk factors enables proactive mitigation strategies.
Core Logic
Evaluates default probability with risk factor identification, calculates expected loss, identifies protective factors, and generates risk mitigation strategies with cost-benefit analysis and priority ranking.
Payment Plan Optimization Agent
Standard payment plans don't account for individual patient financial situations, leading to defaults and poor completion rates.
Core Logic
Optimizes payment plans using constraint-based algorithms considering patient affordability, NPV maximization, and completion probability. Generates multiple plan alternatives with trade-off analysis and auto-pay incentives.
Multi-Channel Communication Agent
Patients respond differently to various communication channels and timing, and generic outreach has low engagement rates.
Core Logic
Analyzes historical engagement data to determine optimal communication channel (email, SMS, phone, portal, mail), best contact timing, and personalized message templates with expected open/response/conversion rates by channel.
SDOH Assessment Agent
Social determinants of health significantly impact patient ability to pay, but this information is rarely integrated into financial engagement strategies.
Core Logic
Assesses five SDOH domains (economic stability, education access, healthcare access, neighborhood environment, social/community context), identifies applicable ICD-10 Z-codes, matches patients with community resources, and adjusts engagement strategies based on social factors.
Prior Authorization AI Agent
Prior authorization delays and denials impact patient financial responsibility and create billing uncertainty.
Core Logic
Evaluates clinical justification and medical necessity scores, identifies required documentation and gaps, provides payer-specific approval probability estimates, generates recommended actions, and develops appeal strategies when needed.
Good Faith Estimate Agent
The No Surprises Act requires accurate price estimates for uninsured and self-pay patients, with compliance penalties for non-compliance.
Core Logic
Generates itemized Good Faith Estimates with provider and facility charges, validates compliance requirements, calculates patient responsibility, tracks estimate validity periods, and manages dispute rights documentation.
GenAI Patient Advocacy Agent
Patient communications about financial obligations often lack empathy, clarity, and actionable guidance, damaging patient relationships.
Core Logic
Generates personalized patient communications using GenAI with adjustable tone profiles (empathetic, professional, casual, urgent), reading level adjustment, multi-channel content adaptation, financial options explanations, and patient rights information.
Real-Time Eligibility Verification Agent
Inaccurate or outdated eligibility information leads to incorrect patient responsibility calculations and billing disputes.
Core Logic
Performs real-time eligibility verification with detailed benefit summaries, deductible tracking, out-of-pocket accumulator status, service-specific coverage details, and data freshness indicators.
Explainability & Fairness Agent
AI-driven financial decisions require transparency for compliance, audit requirements, and patient trust.
Core Logic
Provides multi-level explanations (executive summary for CXOs, technical details for engineers, business context for BAs), SHAP value visualizations, decision tree breakdowns, model cards, demographic parity analysis, equalized odds metrics, disparate impact calculations, and calibration by group.
Guardrails & Compliance Agent
Patient financial engagement must comply with HIPAA, TCPA, FCRA, FDCPA, and ECOA regulations with proper contact rate limits.
Core Logic
Enforces compliance guardrails for all regulations, performs content moderation, detects and masks PII, manages contact rate limits by channel, verifies consent status, and generates comprehensive audit trails with PHI access logging.
Strategy Synthesis Agent
Multiple agent outputs must be synthesized into a coherent, actionable engagement strategy with clear next steps.
Core Logic
Synthesizes outputs from all agents into unified strategy recommendations (self-service, assisted, high-touch, hardship, collections), generates prioritized action plans, provides expected outcome projections including collection probability, time to resolution, patient satisfaction, and net recovery.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
8 technologies
Architecture Diagram
System flow visualization