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Prioritize the right processes. Measure the results. Keep the source code.

Digital Worker 13 AI Agents Example

Multi-State Leave Compliance Navigator

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation.

13 AI Agents
6 Tech Stack
AI Orchestrated
Scoped Availability
Worker ID: leave-compliance-navigator

Problem Statement

The challenge addressed

HR teams struggle to navigate the complex intersection of federal FMLA, state-specific leave laws (CA CFRA, OR OFLA, WA PFML, NY PFL), and company policies. Manual eligibility determination is error-prone, notice generation misses deadlines, and bene...

Solution Architecture

AI orchestration approach

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Orchestrates 13 specialized AI agents with RAG-powered legal knowledge retrieval from 847+ indexed legal documents. Perfor...
Interface Preview 4 screenshots

Illustrative preview (sample data, not verified outcomes): Live Agent Orchestration - Real-time view of 13 AI agents analyzing leave request with message feed showing Orchestrator, Eligibility Analyzer, Law Interpreter, Benefit Calculator, and Conflict Resolver coordinating multi-jurisdictional FMLA/CA_CFRA analysis

Illustrative preview (sample data, not verified outcomes): Chain of Thought Reasoning View - Detailed reasoning trace showing agent thought processes, multi-jurisdictional eligibility analysis for California state and federal FMLA laws, and HRIS query actions with 100% completion status

Illustrative preview (sample data, not verified outcomes): Analysis Results Dashboard - AI-powered leave eligibility determination showing approved status with 97% confidence, employee details, AI analysis metrics including 57.7s processing time, 2 laws evaluated, 24 RAG retrievals, and 21 tool calls

Illustrative preview (sample data, not verified outcomes): HR Review & Approval Interface - Human-in-the-loop verification screen with 97% AI confidence, 6-point review checklist, employee information panel, and decision options (Approve, Modify, Escalate, Reject) for final leave request authorization

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

13 Agents
Parallel Execution
AI Agent

Orchestrator Agent

Leave compliance analysis requires coordinating 12 specialized agents across eligibility verification, law interpretation, benefit calculation, risk assessment, and document generation while maintaining workflow state and handling exceptions.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Manages workflow execution through LangGraph state machine with async agent coordination and message passing. Routes leave requests based on jurisdiction and claim type, coordinates parallel agent execution for independent analyses, aggregates results for final recommendation synthesis, and handles priority routing for time-sensitive requests.

EXAMPLE #1
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AI Agent

Eligibility Analyzer

Determining leave eligibility requires checking multiple criteria across FMLA (12 months tenure, 1,250 hours, 50+ employees within 75 miles) and varying state laws with different thresholds for hours worked, company size, and qualifying reasons.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Executes eligibility checks against FMLA, CA CFRA, CA PDL, CA PFL, OR OFLA, WA PFML, and NY PFL using HRIS API for tenure verification and Payroll Query for hours calculation. Applies law-specific criteria matrices, generates eligibility reasoning chains with citations, and identifies all applicable leave laws for the employee's work and residence states.

EXAMPLE #2
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AI Agent

Law Interpreter

Legal requirements for leave entitlements are written in complex statutory language with cross-references, amendments, and regulatory guidance that HR professionals struggle to interpret and apply correctly.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Performs vector similarity search on 847 indexed legal documents using RAG pipeline with hybrid search (BM25 + dense embeddings). Extracts relevant provisions, translates legal requirements into plain language summaries, identifies notice requirements with penalties, and provides key takeaways for each applicable law with proper legal citations.

EXAMPLE #3
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AI Agent

Benefit Calculator

Wage replacement calculations vary significantly by state with different formulas, caps, waiting periods, and coordination rules. CA PFL, WA PFML, and NY PFL each use distinct percentage-of-wage calculations against state average weekly wage benchmarks.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. Applies state-specific benefit formulas using Payroll API data. Calculates replacement percentages (typically 60-70% of average weekly wage), applies weekly caps against state AWW, determines waiting/elimination periods, computes total benefit amounts for requested duration, and identifies tax implications. Generates step-by-step calculation breakdowns for audit transparency.

EXAMPLE #4
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AI Agent

Document Processor

Leave requests require medical certifications, military orders, birth certificates, and other supporting documents that arrive in various formats and must be validated for completeness and authenticity while protecting PHI.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Processes uploaded documents through OCR extraction engine with form classification (medical certification, military orders, birth/adoption documentation). Validates required fields against regulatory requirements, detects PHI for proper handling, extracts structured data with confidence scores, and flags documents requiring human review.

EXAMPLE #5
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AI Agent

Compliance Monitor

FMLA and state laws mandate specific notices (eligibility, rights and responsibilities, designation) within strict timeframes (5 business days for FMLA eligibility notice). Missing deadlines exposes employers to litigation and regulatory penalties.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Generates required notices using document templates with variable substitution for employee-specific information. Tracks deadlines with automated calendar scheduling, creates compliance timelines with responsible party assignments, maintains audit trails with timestamps and acknowledgment tracking, and triggers reminder notifications before deadline expiration.

EXAMPLE #6
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AI Agent

Conflict Resolver

When multiple leave laws apply simultaneously (e.g., FMLA + CA CFRA + CA PDL for California pregnancy leave), they may have conflicting provisions regarding duration, job protection, and benefits that must be resolved to maximize employee entitlements while supporting compliance review.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Detects conflicts across eligibility, duration, benefits, timing, and notice requirements. Applies legal precedence rules (state law prevails when more generous), determines concurrent vs. sequential leave stacking, calculates optimal leave sequencing to maximize employee benefits, and documents resolution approach with regulatory justification.

EXAMPLE #7
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AI Agent

Predictive Forecaster

HR needs accurate predictions of leave duration and return-to-work timing for workforce planning, but outcomes vary based on diagnosis, employee demographics, job demands, and historical patterns that are difficult to analyze manually.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Executes gradient boosting prediction models trained on 1,200+ historical leave cases. Generates duration predictions with confidence intervals, calculates on-time return probability vs. extension likelihood, identifies risk factors affecting outcomes, analyzes seasonal patterns, and provides similar case benchmarks for expected processing timelines.

EXAMPLE #8
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AI Agent

Risk Assessor

Leave requests carry multiple risk dimensions including fraud indicators, compliance exposure, operational disruption, and audit readiness that require systematic evaluation to prioritize reviews and allocate resources appropriately.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Computes multi-factor risk scores (0-100) across fraud, compliance, operational, and documentation dimensions. Applies ensemble risk model with explainable indicators, identifies missing documentation and expiring certifications, assesses audit readiness with gap analysis, and generates mitigation recommendations prioritized by severity and urgency.

EXAMPLE #9
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AI Agent

Team Impact Analyzer

Employee absences create workload redistribution challenges, project delays, and potential burnout for remaining team members that managers need visibility into for proactive planning and coverage arrangements.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Analyzes department capacity utilization during leave period using workforce analytics. Calculates workload redistribution across team members with burnout risk indicators, identifies affected projects with criticality ratings, generates coverage plans (internal redistribution, temp staffing, contractor options), and sends manager notifications with impact summaries.

EXAMPLE #10
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AI Agent

Cost Projection Agent

Leave costs extend beyond wage replacement to include temporary coverage, overtime, productivity loss, and administrative overhead that impact departmental budgets and require accurate forecasting for financial planning.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Models total leave cost including benefit payments, coverage costs, overtime estimates, and productivity impact. Compares against industry benchmarks and company averages, generates monthly cost projections, identifies cost optimization opportunities, and tracks budget impact with over-budget risk alerts.

EXAMPLE #11
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AI Agent

Return-to-Work Planner

Successful return-to-work requires coordinating medical clearances, accommodation assessments, workspace readiness, phased return schedules, and team communication that often falls through the cracks without systematic planning.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Creates comprehensive RTW plans with expected and planned return dates. Assesses accommodation needs (physical, schedule, duty modifications), generates reintegration step checklists with responsible parties and deadlines, coordinates fitness-for-duty evaluations, manages workspace readiness checklist, and schedules team and welcome-back communications.

EXAMPLE #12
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AI Agent

Law Updates Monitor

Leave laws change frequently with new state programs, amended thresholds, court rulings, and regulatory guidance. Staying current across 50+ jurisdictions is impossible without automated monitoring and impact assessment.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Monitors real-time legislative feeds and legal databases for changes affecting leave compliance. Detects new laws, amendments, court rulings, and regulation changes. Assesses impact level by affected jurisdiction, generates compliance alerts for action items, and updates the legal knowledge base to ensure analysis reflects current requirements.

EXAMPLE #13
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

Production-grade multi-agent leave compliance system featuring eligibility analysis across federal and 50+ state laws, vector similarity search on legal documents using text-embedding-3-large (3072 dimensions), ML-powered duration and RTW predictions trained on 1,200+ historical cases, and comprehensive risk assessment including fraud detection, compliance scoring, and team impact analysis.

Tech Stack

6 technologies

Claude 3.5 Sonnet as primary reasoning model with Claude Agent SDK 1.0

Pinecone Serverless for 847 legal document embeddings with OpenAI text-embedding-3-large

LangGraph v0.1.x for multi-agent state machine orchestration

LangSmith Cloud for trace logging, evaluation, and observability

Gradient boosting models for predictive analytics on historical leave data

Real-time legislative feed integration for law update monitoring

Architecture Diagram

System flow visualization

Multi-State Leave Compliance Navigator Architecture
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