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Online: 3K+ Agents Active
Digital Worker 7 AI Agents Active

AI Agentic RTW Management System

Implements a production-grade 7-agent agentic system with advanced AI capabilities including hierarchical memory (working, episodic, semantic, procedural), inter-agent messaging, dynamic agent spawning, self-healing with circuit breakers, and predictive analytics with uncertainty quantification. Provides human-in-the-loop checkpoints for high-stakes decisions with full observability.

7 AI Agents
6 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: rtw-management-digital-worker

Problem Statement

The challenge addressed

Return-to-work case management involves complex coordination between medical analysis, compliance verification, risk assessment, job matching, and accommodation planning. Manual processes result in delayed returns, improper placements, compliance gap...

Solution Architecture

AI orchestration approach

Implements a production-grade 7-agent agentic system with advanced AI capabilities including hierarchical memory (working, episodic, semantic, procedural), inter-agent messaging, dynamic agent spawning, self-healing with circuit breakers, and predict...
Interface Preview 4 screenshots

AI Agentic RTW System Overview - Multi-agent processing dashboard showing 7 specialized workers (Workflow Orchestrator, Document Intelligence, Medical Analysis, Compliance & Regulations, Risk Assessment) with real-time token usage tracking and cost estimation

Human-in-the-Loop Checkpoint - Security gate interface displaying AI model confidence analysis across 5 dimensions (Overall 87%, Document 96%, Compliance 94%, Risk 89%, Job Matching 91%) with uncertainty quantification and approval workflow

Executive Results View - Final RTW recommendation showing 'Approve Early Return-to-Work with Modified Duty' at 87% confidence, executive summary with comprehensive analysis across medical, compliance, risk, and job matching dimensions

Process Summary Timeline - AI workflow execution visualization showing 4 phases (Case Intake, Multi-Agent Parallel Analysis, Human-in-the-Loop Review, RTW Plan Generation) with performance metrics: 45.2s total processing, 7 agent executions, 8 tool calls

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

7 Agents
Parallel Execution
AI Agent

Orchestrator

RTW case processing requires coordinating 6 specialized agents through multi-phase workflows (intake, document processing, medical analysis, compliance, risk assessment, job matching, recommendation, approval) while managing state, handling failures, and ensuring human oversight at critical checkpoints.

Core Logic

Implements hierarchical task decomposition with phase-based workflow orchestration. Manages agent state machines, coordinates parallel and sequential execution, handles human-in-the-loop checkpoints with configurable approval options, implements circuit breaker patterns for fault tolerance, and provides real-time streaming of agent thoughts and actions through event sourcing.

ACTIVE #1
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AI Agent

Document Processor

RTW cases arrive with surgical reports, physical therapy notes, physician clearances, and accommodation requests in various formats that require accurate extraction of medical entities, key findings, and structured data for downstream analysis.

Core Logic

Processes medical documents through specialized extraction pipelines for medical records, physician notes, diagnostic reports, FMLA forms, and accommodation requests. Extracts entities (diagnoses, procedures, restrictions, physicians) with confidence scores, generates document summaries, identifies key findings, and tracks processing status through pending/processing/processed/error states.

ACTIVE #2
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AI Agent

Medical Analyzer

Determining appropriate return-to-work timing and restrictions requires analyzing ICD-10 diagnosis codes, surgical procedures, treatment protocols, and physician recommendations against medical guidelines and similar case outcomes.

Core Logic

Executes medical record search and ICD-10 code extraction using specialized retrieval tools. Analyzes diagnosis severity, treatment progress, and recovery trajectory. Generates medical necessity determinations with confidence scores and supporting citations. Maintains working memory of analysis context and episodic memory of similar case outcomes.

ACTIVE #3
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AI Agent

Compliance Checker

RTW decisions must comply with FMLA job restoration requirements, ADA reasonable accommodation mandates, and state-specific rules that vary by jurisdiction and interact in complex ways.

Core Logic

Verifies FMLA eligibility with weeks available/used/remaining tracking and expiration dates. Assesses ADA accommodation requirements with compliance status tracking. Identifies state-specific rules by employee location with applicability analysis. Generates compliance recommendations with required actions and regulatory citations.

ACTIVE #4
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AI Agent

Risk Assessor

RTW cases carry risks of premature return (re-injury), delayed return (increased costs), improper accommodation (ADA violations), and claim complexity that require systematic evaluation for appropriate intervention planning.

Core Logic

Calculates overall risk scores (0-100) with tier classification (low/moderate/high/critical). Identifies individual risk factors with positive/negative impact indicators, weights, and explanations. Generates recommended interventions with timing, estimated cost, expected impact, and priority rankings. Supports predictive analytics with model performance metrics and feature importance.

ACTIVE #5
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AI Agent

Job Matcher

When employees cannot return to their original position due to restrictions, identifying suitable alternative positions requires matching physical capabilities, schedule constraints, and skill requirements against available openings.

Core Logic

Searches job positions using availability and restriction criteria. Calculates compatibility scores across physical match, schedule match, and overall fit. Identifies specific restrictions affecting each position and benefits of placement. Ranks top matches by compatibility score with detailed analysis notes explaining placement rationale.

ACTIVE #6
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AI Agent

Recommendation Engine

Final RTW recommendations must synthesize medical analysis, compliance requirements, risk factors, and job matching results into actionable decisions with clear rationale, confidence levels, and supporting evidence for human review.

Core Logic

Aggregates outputs from all specialized agents using weighted synthesis. Generates final recommendations (approved/denied/pending review/pending info) with confidence scores and multi-step reasoning chains. Provides citations from analyzed documents, calculates financial impact (estimated claim cost, potential savings, intervention ROI), and prepares HITL checkpoint packages with summary, supporting evidence, and decision options.

ACTIVE #7
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

Enterprise agentic RTW system demonstrating 2024/2025 industry-standard patterns including cognitive memory architecture, agent collaboration graphs, cost optimization with budget tracking, and real-time event streaming. Features comprehensive observability with distributed tracing (OpenTelemetry), explainable AI with citations and SHAP values, and resilient error recovery with multiple fallback strategies.

Tech Stack

6 technologies

Multi-model LLM support (Anthropic Claude, OpenAI GPT-4, Azure OpenAI) with cost tracking

Hierarchical memory system with working, episodic, semantic, and procedural memory stores

Circuit breaker patterns (closed/open/half-open) for agent resilience and self-healing

Agent collaboration graph with centrality metrics and workload balancing

Predictive analytics with confidence intervals and uncertainty quantification (aleatoric/epistemic)

Event sourcing architecture for complete audit trails and state reconstruction

Architecture Diagram

System flow visualization

AI Agentic RTW Management System Architecture
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