Crisis Resolution Digital Worker
Deploys a coordinated swarm of 7 specialized AI agents that work in parallel to resolve staffing crises in minutes. The system automatically searches 68,000+ clinician profiles, applies ML-based matching algorithms, optimizes pricing based on real-time market conditions, validates regulatory compliance, executes multi-channel personalized outreach, and conducts autonomous rate negotiations.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
AI Crisis Response System - Live market intelligence dashboard with clinician availability, fill rates, and crisis configuration panel with quick start templates
AI Agent Orchestration - Seven specialized agents (Crisis Commander, Clinician Hunter, Incentive Optimizer, Compliance Guardian, Outreach Commander, Deal Closer, Predictive Oracle) working in parallel with real-time tool execution
Crisis Resolved Successfully - Resolution metrics showing 1m 7s completion time, $312 cost savings, $62/hr agent rate, 100% compliance score, and agentic workflow process overview
Compliance Verification Complete - 100% compliance score with 6 passed checks including license validity, background check clearance, and BLS/ACLS certifications with regulatory citations
AI Agents
Specialized autonomous agents working in coordination
Crisis Commander (Orchestrator Agent)
Complex staffing crises require coordination of multiple specialized tasks including data retrieval, matching, pricing, compliance checks, and communications. Without central coordination, these tasks would execute sequentially and inefficiently, delaying crisis resolution.
Core Logic
Acts as the master workflow coordinator using task decomposition patterns. Analyzes crisis severity, dispatches parallel tasks to specialist agents, monitors progress across all phases, handles error recovery, and aggregates final results. Maintains distributed trace context for full observability and generates executive summaries for stakeholders.
Clinician Hunter (Matching Engine Agent)
Finding the optimal clinician from thousands of candidates requires evaluating multiple weighted factors including credentials, certifications, proximity, facility familiarity, performance ratings, and availability. Manual matching is slow and often suboptimal.
Core Logic
Executes vector search across the clinician database using semantic embeddings, then applies multi-criteria scoring with configurable weights for credentials (25%), competency (20%), performance (15%), experience (15%), proximity (10%), facility familiarity (10%), and availability (5%). Ranks candidates by weighted match score and generates detailed match factor breakdowns for each candidate.
Incentive Optimizer (Pricing Engine Agent)
Setting the right rate for urgent shifts is challenging. Too low results in unfilled shifts; too high wastes budget. Rates must account for urgency premiums, market conditions, specialty requirements, and time-of-day factors while maximizing fill probability.
Core Logic
Fetches real-time market data including competing shifts, average rates, and clinician supply. Applies dynamic pricing algorithms that factor in urgency premium (up to 30%), specialty premium, market demand index, and historical acceptance rates. Calculates fill probability curves at different rate points and recommends the optimal rate that balances cost efficiency with fill likelihood.
Compliance Guardian (Regulatory Validation Agent)
Healthcare staffing must comply with CMS regulations (42 CFR §482.23), JCAHO standards (HR.01.05.03, HR.01.06.01), state nurse practice acts, and facility-specific requirements. Non-compliance exposes facilities to regulatory penalties and patient safety risks.
Core Logic
Executes an 18-point compliance validation framework covering license validity, background check status, BLS/ACLS/specialty certifications, competency assessments, scope of practice verification, and facility credentialing requirements. Integrates with state nursing board APIs for real-time license verification and flags any warnings or violations with remediation guidance.
Outreach Commander (Multi-Channel Communication Agent)
Reaching clinicians quickly requires personalized messages across their preferred channels at optimal times. Generic mass messaging yields low response rates. Coordinators lack time to craft individual messages and track responses across channels.
Core Logic
Generates personalized outreach campaigns using clinician communication preferences. Optimizes send timing based on historical response patterns (10 AM sends show 34% higher response rates). Executes parallel delivery across SMS, push notifications, email, and in-app messaging. Tracks delivery, open, and response metrics in real-time with automatic escalation for non-responsive high-priority candidates.
Deal Closer (Negotiation Agent)
Rate negotiations with clinicians require quick responses, professional communication, and flexibility within budget constraints. Manual negotiations create delays and inconsistent outcomes.
Core Logic
Conducts autonomous conversational negotiations within pre-approved parameters. Creates initial offers with base rate plus applicable bonuses (short-notice, completion, holiday). Handles counter-offers using chain-of-thought reasoning to evaluate terms. Applies sentiment analysis to clinician responses and adjusts negotiation strategy accordingly. Confirms final agreements and triggers confirmation workflows.
Predictive Oracle (AI Forecasting Agent)
Crisis resolution benefits from predictive intelligence about fill probability, optimal timing, risk factors, and market conditions. Without forecasting, decisions rely on incomplete information and intuition.
Core Logic
Analyzes 90-day historical patterns using time-series models to predict fill probability, optimal posting windows, and potential risk factors. Performs clinician fatigue analysis to ensure safe scheduling. Generates demand forecasts for proactive staffing. Produces autonomous routing decisions with full chain-of-thought reasoning trails showing evidence, confidence scores, and selected options.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
6 technologies
Architecture Diagram
System flow visualization