Role-Based Programme
RB1317

AI for Resource & Workforce Planning

Smarter Capacity, Scheduling & Operational Workforce Decisions

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Resource and Workforce Planning across demand analysis, capacity planning, scheduling, utilisation, and reporting.
  • Apply AI to analyse workload patterns, resource availability, skill requirements, capacity gaps, and operational demand.
  • Use AI to improve staffing scenarios, shift planning, resource allocation, workload balancing, and management reporting.
  • Develop practical skills for capacity analysis, scenario comparison, productivity review, and resource-planning decision support.
  • Understand responsible AI use, employee-data privacy, fairness, bias, data quality, and human oversight in workforce-related decisions.

Tools covered

Generative AI AssistantsWorkload AnalysisCapacity PlanningWorkforce Demand AnalysisShift & Schedule Planning SupportSkills & Resource MappingScenario PlanningProductivity AnalysisResource Utilisation ReportingOperational Planning Support

Who should attend

  • Resource Planning Managers
  • Workforce Planning Managers
  • Workforce Management Professionals
  • Operations Managers
  • Resource Managers
  • Capacity Planning Professionals
  • Workforce Analysts
  • Operations Analysts
  • Scheduling Professionals
  • Service Operations Managers
  • Production Planning Professionals
  • Business Operations Professionals
  • Operational Excellence Professionals
  • Operations Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of workforce, resource, capacity, or operational planning
  • Familiarity with staffing, workload, shifts, productivity, or operational reports is helpful
  • Basic spreadsheet, analytical, and digital-tool skills
  • No programming or technical AI knowledge required
  • Prior AI-tool experience is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to workforce and resource planning
  • Exploring AI support across demand analysis, scheduling, capacity planning, and reporting
  • Distinguishing Generative AI from workforce-management, ERP, scheduling, and analytics platforms
  • Understanding AI limitations, hallucinations, bias, and workforce-decision risks
Practical activities
  • Identifying recurring workforce-planning activities suitable for AI assistance
  • Comparing traditional and AI-assisted resource-planning workflows
  • Mapping AI opportunities across the workforce-planning lifecycle

Scenarios

Demand Surge to Workforce Capacity Plan

Demand Forecast → Workload Analysis → Available Capacity → Skills & Coverage Gaps → Resource Options → Shift Scenarios → Recommended Plan → Management Review

Participants use AI to analyse a sample increase in operational demand, identify capacity and skill gaps, and develop alternative workforce scenarios for management review.

Workforce Imbalance to Resource Optimisation Plan

Workload Data → Utilisation Review → Team / Shift Imbalance → Skills Analysis → Allocation Options → Coverage Plan → Actions & Owners → Leadership Summary

Participants use AI to analyse sample workforce and workload data, identify under- and over-utilisation, and prepare a structured resource-balancing and capacity-improvement plan.

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