Role-Based Programme
RB1316

AI for Resource & Workforce Planning

Smarter Capacity Planning, Scheduling & Operational Productivity

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

Programme Objectives

  • Understand how AI can support Resource and Workforce Planning across capacity, staffing, scheduling, utilization, and operational forecasting.
  • Explore practical AI applications for analysing workload, resource availability, skill requirements, productivity, and staffing gaps.
  • Apply structured prompting techniques to create resource plans, capacity summaries, staffing scenarios, and operational recommendations.
  • Use AI to improve productivity across workforce reviews, shift planning, resource allocation, scenario analysis, and management reporting.
  • Recognise employee privacy, data quality, bias, workforce-policy considerations, and human-review requirements when using AI for resource planning.

Tools covered

Generative AI AssistantsWorkforce Data AnalysisCapacity PlanningDemand & Resource AnalysisScheduling SupportSkills & Utilization AnalysisScenario PlanningOperational ReportingAI-Powered Productivity Tools

Who should attend

  • Resource Planning Managers
  • Workforce Planning Managers
  • Resource Planning Executives
  • Workforce Management Professionals
  • Operations Managers
  • Operations Planning Professionals
  • Capacity Planning Professionals
  • Resource Managers
  • Scheduling Professionals
  • Workforce Analysts
  • Operations Analysts
  • Service Delivery Managers
  • Workforce Optimization Professionals
  • Operational Excellence Professionals
  • Resource & Workforce Planning Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of workforce, resource, or operational planning
  • Familiarity with staffing, schedules, workloads, utilization, or operational KPIs 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 Resource & Workforce Planning
  • Exploring AI applications across demand analysis, capacity planning, scheduling, utilization, and reporting
  • Understanding the difference between AI assistance, workforce-management systems, analytics, and managerial judgement
  • Recognising AI limitations, hallucinations, biased assumptions, and inaccurate workforce recommendations
Practical activities
  • Identifying high-value AI applications across a typical resource-planning workflow
  • Comparing a traditional workforce-planning task with an AI-assisted approach

Scenarios

Workload Demand to Resource Allocation Plan

Workload Forecast → AI-Assisted Analysis → Capacity Gap → Skill & Availability Review → Resource Options → Allocation Plan → Operations Summary

Participants use AI to analyse sample workload and capacity information, identify resource gaps, and prepare a structured allocation plan for operational review.

Workforce Constraints to Staffing Scenario

Demand Change + Workforce Availability → AI-Assisted Scenario Analysis → Coverage Gaps → Utilization Impact → Staffing Options → Recommended Actions → Management Summary

Participants use AI to evaluate a sample workforce constraint, compare alternative staffing scenarios, and prepare a concise decision-support summary.

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