Role-Based Programme
RB1468

AI-Powered HRIS & People Analytics

Smarter Workforce Insights, HR Data Analysis & Reporting

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support HRIS and People Analytics across workforce reporting, HR data interpretation, trend analysis, and management insights.
  • Explore practical prompting techniques for HR metrics, dashboards, employee data summaries, survey analysis, and workforce reporting.
  • Apply AI to organise HR data, identify patterns, summarise trends, and prepare decision-support outputs.
  • Identify opportunities to improve reporting efficiency, data interpretation, workforce visibility, and HR decision support.
  • Recognise employee privacy, data quality, bias, access control, governance, and human-review responsibilities when using AI.

Tools covered

Generative AI AssistantsAI-Assisted HR Data AnalysisHRIS Reporting SupportWorkforce Trend AnalysisDashboard InterpretationSurvey & Feedback SummarisationHR Metrics ReportingBasic Workflow Automation

Who should attend

  • HRIS Analysts
  • People Analytics Analysts
  • HR Data Analysts
  • Workforce Analytics Professionals
  • HR Reporting Analysts
  • HR Operations Analysts
  • HR Technology Professionals
  • HRIS Administrators
  • People Operations Professionals
  • Workforce Planning Analysts
  • Talent Analytics Professionals
  • HR Business Intelligence Professionals
  • HRIS & People Analytics Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Human Resources data, HR systems, or workforce reporting
  • Familiarity with employee data, HR metrics, dashboards, spreadsheets, or HRIS reports is helpful
  • Basic computer and spreadsheet skills
  • No AI or programming knowledge required
  • No previous Generative AI experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to HRIS and People Analytics
  • Identifying AI applications across HR reporting, workforce analysis, dashboard interpretation, and data summarisation
  • Understanding AI assistance versus HR Analytics professional judgement
  • Recognising employee-data, governance, and analytical activities requiring validated information and human oversight
Practical activities
  • Mapping common HRIS and People Analytics activities to potential AI applications
  • Comparing a traditional HR-reporting task with an AI-assisted approach

Scenarios

HRIS Data to Workforce Insight Report

HRIS Data → AI-Assisted Validation → Workforce Metrics → Trend Analysis → Key Observations → Management Summary

Participants use AI to organise a sample HRIS dataset, identify key workforce trends, and prepare a structured management summary while keeping final interpretation with authorised HR professionals.

Employee Survey to Actionable People Insights

Survey Results → AI-Assisted Theme Analysis → Workforce Patterns → Priority Areas → Follow-Up Questions → Executive HR Brief

Participants use AI to analyse sample employee-feedback data, identify recurring themes, and prepare an executive HR brief while avoiding unsupported conclusions and retaining workforce decisions with authorised HR leaders.

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