Role-Based Programme
RB1470

AI-Powered HRIS & People Analytics

Smarter Workforce Data, HR Systems & People Insights

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

Programme Objectives

  • Apply AI across HRIS and People Analytics activities including workforce data management, reporting, dashboarding, data-quality review, and workforce analysis.
  • Use AI-assisted techniques to analyse headcount, hiring, turnover, attendance, mobility, learning, performance, and employee-lifecycle data more efficiently.
  • Develop structured workflows for HR data validation, metric development, dashboard preparation, trend analysis, and management reporting.
  • Improve workforce decision support through AI-assisted segmentation, trend analysis, skills insights, scenario analysis, and identification of emerging workforce patterns.
  • Apply responsible AI practices covering employee privacy, data minimisation, fairness, confidentiality, access control, statistical interpretation, and human oversight.

Tools covered

Generative AI AssistantsHRIS Data AnalysisPeople AnalyticsSpreadsheet AnalysisWorkforce DashboardsData Quality AnalysisEmployee Lifecycle AnalyticsReporting AssistanceHR Data GovernanceWorkflow Automation

Who should attend

  • HRIS Managers
  • HRIS Analysts
  • People Analytics Professionals
  • HR Data Analysts
  • Workforce Analytics Professionals
  • HR Reporting Analysts
  • HR Operations Professionals
  • Workforce Planning Professionals
  • HR Technology Professionals
  • HR Business Intelligence Professionals
  • People Operations Analysts
  • Talent Analytics Professionals
  • HR Shared Services Professionals
  • Human Resources Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of HR systems, workforce reporting, HR operations, or people analytics
  • Familiarity with employee data, HR metrics, dashboards, or spreadsheet analysis is helpful
  • Basic spreadsheet and data-analysis skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, automation, and their role in HR systems and workforce analysis
  • Identifying AI applications across HR reporting, data quality, dashboards, workforce planning, and decision support
  • Understanding AI assistance versus authorised HR and management decision-making
  • Recognising risks related to employee privacy, biased analysis, sensitive attributes, and poor-quality data
Practical activities
  • Mapping HRIS and People Analytics activities to AI-assisted opportunities
  • Identifying repetitive reporting and analytical tasks suitable for AI support
  • Comparing traditional and AI-assisted HR analytics workflows

Scenarios

Workforce Data to Management Insights

HRIS Data → AI-Assisted Data Validation → KPI Calculation → Workforce Segmentation → Trend Analysis → Key Insights → Dashboard → Management Commentary

Participants analyse a simulated HRIS dataset, correct data-quality issues, calculate workforce KPIs, identify meaningful patterns, and prepare a management-ready People Analytics dashboard.

Talent & Workforce Trends to Workforce Planning Scenario

Headcount + Turnover + Hiring + Skills + Mobility Data → AI Analysis → Workforce Gaps → Future Demand → Scenario Options → Priority Actions → Workforce Planning Report

Participants combine multiple workforce data sources, identify capacity and capability gaps, compare workforce scenarios, and prepare a structured planning report while avoiding unsupported individual-level predictions.

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