AI-Powered Employee Relations & Industrial Relations
Intelligent Case Management, Workforce Relations & Compliance Support
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
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
- 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
- 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
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
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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Take the next step
Ready to make this programme work for your team?
Customise modules, duration and business scenarios for your team.
Designed around your roles, tools and real workflows.

