AI Agentic Staffing Resolution System
Deploys an 8-agent AI pipeline using Claude 3.5 Sonnet with 200K token context.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Crisis Configuration - Facility information, affected departments selection, missing staff positions, and AI agent pipeline activation
Agent Orchestration - Multi-agent activity stream with Talent Scout matching, Resource Optimizer processing, and real-time tool calls execution
Executive Summary - Positions filled metrics, candidate responses tracking, confirmed staff assignments, and strategic approach recommendations
Compliance Report - NMBI verification status, Garda vetting progress, HIQA standards compliance, and individual candidate compliance matrix
AI Agents
Specialized autonomous agents working in coordination
Lead Coordinator
Complex staffing crises require coordinated multi-step workflows across regulatory verification, candidate matching, budget optimization, and deployment—impossible to manage without central orchestration.
Core Logic
Initializes crisis response protocol and establishes HSE-compliant multi-agent workflow. Loads Ireland-specific regulatory context including NMBI, HIQA, and Garda Vetting requirements. Manages agent handoffs, tracks progress across 9 execution phases, synthesizes final results, and ensures all downstream agents have necessary context.
Situation Analysis Specialist
Staffing gaps vary in severity—some pose immediate patient safety risks requiring HIQA intervention while others can tolerate delayed resolution. Without proper analysis, resources are misallocated.
Core Logic
Assesses patient safety risk per HIQA standards and HSE Safe Staffing Framework. Evaluates skill mix requirements by department (ICU, ED, Medical-Surgical, Pediatrics, OR, Labor & Delivery). Calculates urgency scores (critical/high/medium) based on gap analysis, certifications required, and facility context.
NMBI/HIQA Verification Specialist
Placing unverified professionals risks patient safety, regulatory fines, and facility liability. Manual verification of NMBI registrations, Garda vetting, and HIQA compliance is time-consuming and error-prone.
Core Logic
Verifies NMBI registration status and validates PIN numbers against the registry. Checks Garda National Vetting Bureau clearance status. Confirms HIQA compliance standards are met. Validates work authorization for non-EU candidates including Stamp 4 visa verification. Generates 85%+ compliant candidate pools.
Candidate Matching Specialist
Finding qualified candidates requires balancing multiple criteria—proximity, reliability, experience, ratings, cost, and compliance—across large professional databases. Manual ranking is inconsistent and slow.
Core Logic
Accesses Irish healthcare professional database and filters by NMBI active PIN, Garda vetting, availability, and proximity. Batch verifies NMBI PINs. Calculates match scores using Multi-Criteria Decision Analysis (30% proximity + 25% reliability + 20% experience + 15% rating + 10% history). Predicts acceptance probability using logistic regression ML model (94.3% accuracy).
Budget & Allocation Specialist
Staffing budgets are constrained while quality and speed requirements compete. Without optimization, facilities either overspend or compromise on candidate quality.
Core Logic
Maps candidates to HSE consolidated pay scales. Runs constraint satisfaction optimization balancing budget, quality, time, skill_mix, and NMBI compliance. Calculates expected value using Irish acceptance patterns. Uses Greedy + Branch-and-Bound algorithms to maximize coverage within €2500 budget constraints.
Outreach & Notification Specialist
Reaching candidates quickly across multiple channels while personalizing messages increases acceptance rates but requires coordination that manual processes cannot achieve at scale.
Core Logic
Drafts personalized shift offer messages with facility details, pay rates, and shift times. Executes multi-channel parallel outreach via Push notifications, SMS, WhatsApp, and Email. Tracks delivery status and response channels. Records candidate response times for quality monitoring.
Execution Strategy Specialist
Candidate responses vary in timing—some accept immediately while others need follow-up. Without tiered deployment and auto-escalation, positions remain unfilled while waiting for responses.
Core Logic
Organizes candidates into HSE-compliant deployment tiers based on match score (Tier 1: 85+, Tier 2: 70-85, Tier 3: <70). Configures auto-escalation triggers (Tier 1: 5min, Tier 2: 8min, Manager: 10min). Creates provisional shift assignments using Hungarian algorithm. Manages fallback strategies when primary candidates decline.
Response Tracking Specialist
Real-time visibility into candidate responses, acceptance rates, and coverage gaps is essential for dynamic adjustment but difficult to maintain manually during crisis resolution.
Core Logic
Initializes real-time response monitoring dashboard. Analyzes response patterns including acceptance/decline rates and average response times. Generates coverage reports by department and shift. Tracks metrics: candidates evaluated, notifications sent, compliance checks performed. Provides final summary with positions filled, budget utilization, and confidence scores.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization