Role-Based Programme
RB1320

AI for Workforce Management

Smarter Scheduling, Staffing & Operational Performance

IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Workforce Management across staffing, scheduling, attendance, workload balancing, and operational performance.
  • Explore practical AI applications for analysing workforce availability, service demand, scheduling gaps, utilization, and operational exceptions.
  • Apply structured prompting techniques to create staffing summaries, shift plans, workforce reports, and action recommendations.
  • Use AI to improve productivity across daily workforce reviews, schedule adjustments, exception management, and management reporting.
  • Recognise employee privacy, fairness, bias, policy requirements, data quality, and human-review needs when using AI in Workforce Management.

Tools covered

Generative AI AssistantsWorkforce Data AnalysisStaffing AnalysisShift & Schedule PlanningAttendance & Availability AnalysisWorkload ManagementPerformance ReportingException AnalysisAI-Powered Productivity Tools

Who should attend

  • Workforce Managers
  • Workforce Management Executives
  • Workforce Management Analysts
  • Workforce Planning Professionals
  • Scheduling Managers
  • Scheduling Analysts
  • Operations Managers
  • Operations Supervisors
  • Resource Managers
  • Capacity Planning Professionals
  • Service Delivery Managers
  • Contact Centre Workforce Professionals
  • Workforce Optimization Professionals
  • Operations Analysts
  • Workforce Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of workforce, staffing, or operational processes
  • Familiarity with schedules, shifts, attendance, workloads, or service-level requirements is helpful
  • Basic analytical and numerical skills
  • No programming or technical AI knowledge required
  • No previous AI-tool experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Workforce Management
  • Exploring AI applications across staffing, scheduling, attendance, workload, and performance reporting
  • Understanding the difference between AI assistance, workforce-management systems, analytics, and managerial judgement
  • Recognising AI limitations, hallucinations, biased assumptions, and inappropriate workforce recommendations
Practical activities
  • Identifying high-value AI applications across a typical Workforce Management workflow
  • Comparing a traditional workforce-management task with an AI-assisted approach

Scenarios

Staffing Demand to Shift Coverage Plan

Workload Demand → AI-Assisted Analysis → Staffing Requirement → Availability Review → Coverage Gaps → Schedule Adjustments → Workforce Plan

Participants use AI to analyse sample demand, staffing, and availability information, identify coverage gaps, and prepare a structured workforce plan for operational review.

Workforce Performance to Operations Action Plan

Attendance + Utilization + Schedule Data → AI-Assisted Analysis → Performance Gaps → Workforce Exceptions → Priority Actions → Management Summary

Participants use AI to review sample workforce-performance information, identify staffing and utilization issues, and prepare a concise action plan for management discussion.

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