Role-Based Programme
RB1458

AI-Powered Employee & Industrial Relations

Smarter Case Management, Conflict Resolution & Workforce Relations

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

Programme Objectives

  • Apply AI across Employee Relations and Industrial Relations activities including grievances, workplace concerns, disciplinary processes, investigations, dispute management, and employee communication.
  • Use AI-assisted techniques to organise case information, analyse recurring workforce issues, review policies, prepare documentation, and track employee-relations actions more efficiently.
  • Develop structured workflows for grievance intake, case assessment, investigation support, escalation, corrective action, resolution, and closure.
  • Improve workforce-relations visibility through AI-assisted trend analysis, case ageing, issue categorisation, industrial-relations reporting, and management insights.
  • Apply responsible AI practices covering employee privacy, neutrality, fairness, confidentiality, bias, legal boundaries, evidence quality, and human decision-making.

Tools covered

Generative AI AssistantsEmployee Relations Case AnalysisDocument IntelligencePolicy AnalysisGrievance Management SupportInvestigation DocumentationIndustrial Relations AnalysisSpreadsheet AnalysisWorkforce ReportingWorkflow Automation

Who should attend

  • Employee Relations Managers
  • Employee Relations Specialists
  • Industrial Relations Managers
  • Industrial Relations Professionals
  • HR Managers
  • HR Business Partners
  • HR Generalists
  • HR Operations Professionals
  • People Relations Professionals
  • Workplace Relations Professionals
  • HR Compliance Professionals
  • Employee Grievance Professionals
  • HR Case Management Professionals
  • Human Resources Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of Human Resources, Employee Relations, Industrial Relations, or workforce-management activities
  • Familiarity with grievances, disciplinary processes, employee policies, workplace investigations, or industrial-relations matters is helpful
  • Basic document and spreadsheet skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, document intelligence, analytics, and automation in workforce relations
  • Identifying AI applications across grievances, cases, investigations, dispute management, and reporting
  • Understanding AI assistance versus authorised HR, Legal, and management decision-making
  • Recognising risks related to privacy, bias, confidentiality, retaliation, and unsupported conclusions
Practical activities
  • Mapping Employee and Industrial Relations activities to AI-assisted opportunities
  • Identifying repetitive documentation and case-management tasks suitable for AI support
  • Comparing traditional and AI-assisted workforce-relations workflows

Scenarios

Employee Grievance to Fair Case Resolution

Employee Grievance → AI-Assisted Neutral Summary → Policy Review → Evidence & Interview Plan → Fact Finding → HR Review → Resolution Actions → Follow-Up → Closure

Participants work through a simulated employee grievance, structure the facts and evidence, prepare investigation support materials, and develop a controlled resolution workflow while keeping findings and employment decisions with authorised human reviewers.

Workforce Relations Data to Industrial Relations Action Plan

Grievance Trends + Attendance Issues + Workplace Concerns + Case Data + Consultation Records → AI Analysis → Recurring Themes → Workforce Risks → Priority Actions → Management Brief

Participants consolidate anonymised workforce-relations information, identify recurring employee and industrial-relations themes, and prepare a management-ready action plan covering communication, consultation, process improvement, and follow-up.

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