Role-Based Programme
RB1318

AI for Resource & Workforce Planning

Demand Forecasting, Capacity Optimisation & Operational Readiness

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities for workforce demand planning, resource allocation, capacity management, and operational readiness.
  • Apply AI to analyse workload patterns, staffing requirements, utilisation, productivity, skills availability, and resource constraints.
  • Use AI to improve scheduling, scenario planning, deployment decisions, workload balancing, and management reporting.
  • Strengthen workforce-planning decisions through demand forecasting, capacity analysis, skill-gap identification, risk assessment, and prioritisation.
  • Apply responsible AI practices related to employee data, privacy, bias, fairness, workforce decisions, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchWorkforce Demand AnalysisCapacity PlanningSkills & Resource MappingScheduling AnalysisProductivity AnalysisScenario PlanningRisk & Constraint AnalysisOperational ReportingResource Allocation SupportExecutive Summarisation

Who should attend

  • Resource Planning Managers
  • Workforce Planning Managers
  • Operations Managers
  • Resource Managers
  • Workforce Management Professionals
  • Capacity Planning Professionals
  • Operations Analysts
  • Resource Planning Analysts
  • Workforce Analysts
  • Scheduling & Rostering Professionals
  • Service Operations Managers
  • Delivery Managers
  • Business Operations Professionals
  • Shared Services Managers
  • Operations Leaders

Prerequisites & Participant Readiness

  • Experience in workforce planning, resource management, operations, service delivery, capacity planning, or scheduling
  • Familiarity with workload, staffing, utilisation, productivity, shifts, and operational KPIs
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret workforce and operational information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, and AI assistants
  • Exploring AI applications across demand planning, capacity, scheduling, allocation, and reporting
  • Understanding how AI differs from workforce-management, ERP, scheduling, and analytics platforms
  • Recognising hallucinations, biased recommendations, and limitations in workforce decisions
Practical activities
  • Mapping the workforce-planning lifecycle to practical AI applications
  • Identifying high-value versus high-risk use cases
  • Comparing traditional and AI-assisted resource-planning workflows

Scenarios

Peak Demand to Workforce Deployment Plan

Demand Forecast → Workload Analysis → Capacity Review → Skills Mapping → Coverage Gaps → Resource Allocation → Scheduling → Deployment Plan

Participants use AI to analyse a simulated peak-demand period, identify workforce and skill gaps, evaluate deployment options, and create a structured resource plan.

Capacity Shortfall to Workforce Readiness Strategy

Workforce Data → Utilisation Review → Skill Gaps → Absence & Attrition Risk → Scenario Planning → Resource Options → Priority Actions → Readiness Roadmap

Participants use AI to investigate a simulated capacity shortfall, assess operational and workforce risks, and develop a structured workforce-readiness roadmap covering staffing, skills, scheduling, and contingency actions.

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