Role-Based Programme
RB1459

AI-Powered Employee Relations & Industrial Relations

Intelligent Case Management, Workforce Relations & Compliance Support

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

Programme Objectives

  • Develop advanced capability to apply AI across employee relations, industrial relations, grievance management, disciplinary support, workforce communication, and case administration.
  • Use AI to analyse employee complaints, grievance records, policies, meeting notes, workplace incidents, case histories, workforce data, and industrial-relations documentation.
  • Build repeatable AI-assisted workflows for case intake, evidence organisation, investigation support, action tracking, employee communication, escalation, and reporting.
  • Apply AI to identify recurring employee-relations themes, workplace concerns, case delays, policy gaps, documentation risks, and workforce-relations trends.
  • Design responsible AI-enabled Employee Relations & Industrial Relations workflows with appropriate controls for confidentiality, fairness, legal sensitivity, evidence integrity, traceability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisEmployee Relations Case Management ToolsWorkforce AnalyticsPolicy & Compliance Research ToolsMeeting & Communication AIReporting & Dashboard ToolsKnowledge Management AIWorkflow Automation

Who should attend

  • Employee Relations Managers
  • Industrial Relations Managers
  • Employee Relations Specialists
  • Industrial Relations Specialists
  • HR Managers
  • HR Business Partners
  • HR Generalists
  • People Relations Professionals
  • Labour Relations Professionals
  • HR Compliance Professionals
  • Workplace Investigation Professionals
  • Grievance & Disciplinary Case Professionals
  • HR Operations Managers
  • People & Culture Professionals
  • Employee Relations & Industrial Relations Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of Human Resources, Employee Relations, Industrial Relations, or workforce administration
  • Familiarity with grievances, disciplinary processes, workplace policies, employee communication, case documentation, or workforce relations
  • Basic proficiency with spreadsheets, documents, case records, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, Document AI, and workflow automation
  • Mapping AI opportunities across employee-relations and industrial-relations activities
  • Understanding AI assistance versus authorised HR, legal, and management judgement
  • Recognising privacy, fairness, bias, confidentiality, and legal-risk concerns
Practical activities
  • Mapping an existing Employee Relations lifecycle
  • Comparing manual and AI-assisted ER / IR activities
  • Creating an Employee Relations AI opportunity matrix

Scenarios

Employee Grievance to Controlled Case Closure

Employee Concern → AI-Assisted Intake → Case Classification → Evidence Review → Investigation Support → Management Review → Employee Communication → Corrective Action → Closure

Participants use AI-assisted techniques to manage a simulated employee grievance, organise evidence, support a fair investigation, prepare neutral documentation, and track actions through closure while retaining decisions with authorised HR professionals.

Employee Relations Data to Workforce Improvement

Grievances + Conduct Cases + Employee Feedback + Policy Issues + Case Ageing + Corrective Actions → AI Analysis → Recurring Themes → Priority Interventions → Automated Follow-Up → ER Dashboard → Leadership Review

Participants design an AI-enabled Employee Relations workflow that consolidates workforce-relations signals, identifies recurring themes and process gaps, automates suitable administrative follow-up, and strengthens leadership visibility while retaining sensitive employment and industrial-relations decisions with authorised professionals.

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