Role-Based Programme
RB1474

AI-Powered HR Generalist

Smarter HR Operations, Employee Support & Workforce Management

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

Programme Objectives

  • Apply AI across core HR Generalist activities including recruitment, onboarding, employee records, policies, performance support, engagement, and HR service delivery.
  • Use AI-assisted techniques to draft, summarise, analyse, organise, and communicate HR information more efficiently.
  • Develop structured workflows for employee lifecycle administration, HR requests, documentation, follow-ups, and management reporting.
  • Improve HR responsiveness through AI-assisted employee communication, workforce analysis, policy guidance, and operational tracking.
  • Apply responsible AI practices covering employee privacy, confidentiality, fairness, bias, data protection, accuracy, and human oversight.

Tools covered

Generative AI AssistantsHR Document IntelligenceRecruitment SupportEmployee CommunicationPolicy SupportPerformance Management AssistanceHR AnalyticsSpreadsheet AnalysisWorkforce ReportingWorkflow Automation

Who should attend

  • HR Generalists
  • HR Executives
  • HR Officers
  • HR Coordinators
  • HR Business Partners
  • HR Operations Professionals
  • People Operations Professionals
  • Employee Services Professionals
  • Talent Management Professionals
  • Employee Relations Professionals
  • HR Shared Services Professionals
  • HR Administrators
  • Junior HR Managers
  • Human Resources Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of general HR, employee administration, or people-management activities
  • Familiarity with recruitment, onboarding, employee records, policies, performance, or HR communication is helpful
  • Basic spreadsheet and document-management skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, document intelligence, analytics, and automation in HR
  • Identifying AI applications across employee lifecycle, documentation, communication, and reporting
  • Understanding AI assistance versus authorised HR and managerial decision-making
  • Recognising privacy, confidentiality, fairness, and bias risks in HR use cases
Practical activities
  • Mapping HR Generalist responsibilities to AI-assisted opportunities
  • Identifying repetitive HR tasks suitable for AI support
  • Comparing traditional and AI-assisted HR Generalist workflows

Scenarios

New Employee Requirement to Successful Onboarding

Hiring Requirement → AI-Assisted Job Description → Recruitment Coordination → Offer Documentation → Onboarding Checklist → Employee Communication → Joining Follow-Up

Participants manage a simulated employee journey from recruitment requirement through onboarding, using AI for documentation, coordination, communication, and tracking while keeping employment decisions with authorised HR and managers.

HR Service Data to Employee Experience Improvement Plan

Employee Requests + Attendance Trends + Feedback + HR Cases + Policy Queries → AI Analysis → Recurring Themes → Service Gaps → Priority Improvements → Management Report

Participants consolidate HR operational information, identify recurring employee-service and experience issues, and prepare a management-ready HR improvement plan with actions, owners, and priorities.

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