Role-Based Programme
RB1457

AI-Powered Employee Relations & Industrial Relations

Smarter Case Management, Grievance Handling & Workforce Communication

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Employee Relations and Industrial Relations across grievance handling, case documentation, policy review, communication, and workforce issue tracking.
  • Apply AI-assisted techniques to organise case information, summarise employee concerns, identify documentation gaps, and prepare structured review materials.
  • Use structured prompting for grievance analysis, meeting preparation, case timelines, policy comparison, communication, and management reporting.
  • Explore AI-supported approaches for identifying recurring employee-relations themes, workplace concerns, case ageing, and preventive improvement opportunities.
  • Build responsible AI-assisted ER and IR workflows while maintaining confidentiality, fairness, due process, legal compliance, evidence integrity, and human judgement.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AICase & Grievance AnalysisPolicy Analysis AIEmployee Communication AIHR Data AnalysisReporting & Workflow Automation

Who should attend

  • Employee Relations Professionals
  • Industrial Relations Professionals
  • HR Managers
  • HR Business Partners
  • HR Generalists
  • Employee Relations Executives
  • Industrial Relations Executives
  • HR Operations Professionals
  • Labour Relations Professionals
  • Workplace Relations Professionals
  • HR Compliance Professionals
  • Grievance Handling Professionals
  • Plant HR Professionals
  • Employee Relations & Industrial Relations Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Human Resources and employee-relations processes
  • Familiarity with grievances, employee policies, disciplinary processes, workplace concerns, or industrial-relations activities is helpful
  • Basic computer, spreadsheet, and document-handling skills
  • No AI or programming knowledge required
  • No previous AI training required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to ER and IR activities
  • Identifying AI applications across grievance handling, case documentation, communication, policy review, and reporting
  • Understanding AI assistance versus HR, ER, IR, Legal, and management judgement
  • Recognising limitations such as bias, incomplete context, hallucinations, and inappropriate conclusions about employees
Practical activities
  • Mapping a typical Employee Relations and Industrial Relations workflow
  • Identifying repetitive and information-intensive activities suitable for AI assistance
  • Comparing a traditional case-management task with an AI-assisted approach

Scenarios

Employee Grievance to Structured Case Review

Employee Concern → AI-Assisted Case Summary → Timeline → Policy Review → Evidence Gaps → Fact-Finding Questions → HR Review → Case Communication

Participants use AI to organise a sample employee grievance, separate facts from allegations, identify information gaps, and prepare structured materials for authorised HR review.

ER/IR Case Data to Preventive Action Plan

Case Data + Grievance Themes + Resolution Times + Recurring Issues → AI Analysis → Workforce Trends → Process Gaps → Preventive Actions → Management Report

Participants use AI to analyse anonymised ER and IR information, identify recurring workplace themes, and prepare a management-ready preventive action plan without delegating employee-relations decisions to AI.

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