Role-Based Programme
RB1319

AI for Resource & Workforce Planning

Advanced Demand Forecasting, Capacity Optimisation & Workforce Intelligence

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across workforce demand forecasting, capacity planning, resource allocation, scheduling, skills planning, and operational performance.
  • Use AI-assisted analysis to identify workload patterns, staffing gaps, skill shortages, utilisation issues, capacity constraints, and workforce risks.
  • Apply AI to resource planning, shift optimisation, scenario modelling, skills deployment, workload balancing, and management reporting.
  • Use AI-assisted analytics to improve workforce productivity, service coverage, utilisation, cost efficiency, employee workload balance, and operational resilience.
  • Build responsible AI-enabled Resource and Workforce Planning workflows with strong fairness, privacy, governance, validation, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchWorkforce AnalyticsDemand Forecasting ConceptsCapacity PlanningSkills MappingResource AllocationShift & Schedule AnalysisProductivity AnalyticsScenario PlanningWorkforce Risk AnalysisPerformance DashboardsWorkflow AutomationAI AgentsDecision-Support Tools

Who should attend

  • Resource Planning Managers
  • Workforce Planning Managers
  • Operations Managers
  • Workforce Management Professionals
  • Capacity Planning Professionals
  • Resource Managers
  • Scheduling Managers
  • Workforce Analysts
  • Operations Analysts
  • Service Operations Managers
  • Production Planning Professionals
  • Shared Services Managers
  • Workforce Optimisation Professionals
  • Operational Excellence Professionals
  • Leaders Responsible for Resource & Workforce Capacity

Prerequisites & Participant Readiness

  • Experience in workforce planning, resource management, operations, scheduling, capacity planning, or business operations
  • Familiarity with workload, staffing, utilisation, productivity, shifts, service levels, and operational KPIs
  • Basic awareness of Generative AI and common business applications
  • Comfort working with workforce, demand, capacity, and performance data
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, analytics, automation, and AI agents
  • Exploring AI applications across demand forecasting, staffing, scheduling, skills, and workforce performance
  • Distinguishing AI-assisted workforce planning from autonomous people decisions
  • Understanding hallucinations, data-quality risk, employee fairness, privacy, and human accountability
Practical activities
  • Mapping AI opportunities across the workforce-planning lifecycle
  • Identifying activities suitable for augmentation, automation, or continued human ownership
  • Creating an AI opportunity map for Resource and Workforce Planning teams

Scenarios

Demand Surge & Staffing Shortage to Workforce Recovery Plan

Workload Forecast → Capacity Analysis → Skill Availability → Coverage Gaps → Shift Options → Resource Reallocation → Contingency Actions → Service Metrics

Participants use AI to analyse a sudden increase in operational demand, identify staffing and skill shortages, compare allocation and scheduling options, and create a balanced workforce recovery plan.

High Overtime & Uneven Utilisation to Workforce Optimisation Model

Workforce Data → Demand Patterns → Utilisation → Overtime → Skill Distribution → Scheduling Gaps → Allocation Scenarios → Cost & Service Impact

Participants use AI to diagnose high overtime and uneven workforce utilisation, identify planning and skill-allocation causes, redesign staffing and schedules, and create a measurable workforce optimisation plan.

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