Role-Based Programme
RB1471

AI-Powered HRIS & People Analytics

Workforce Intelligence, HR Data Automation & Predictive Insights

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across HRIS administration, workforce data analysis, HR reporting, people analytics, and workforce planning.
  • Use AI to analyse employee records, headcount, hiring, attrition, attendance, learning, performance, mobility, and engagement data.
  • Build repeatable AI-assisted workflows for data cleaning, validation, reporting, dashboard creation, insight generation, and HR data administration.
  • Apply AI to identify workforce trends, data-quality issues, talent patterns, operational exceptions, capability gaps, and areas requiring deeper analysis.
  • Design responsible AI-enabled HRIS and People Analytics workflows with appropriate controls for privacy, fairness, data quality, access, explainability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchHRIS PlatformsSpreadsheet & Data AnalysisPeople Analytics ToolsDocument AIData Visualisation & Dashboard ToolsWorkforce Planning AnalyticsReporting ToolsKnowledge Management AIWorkflow Automation

Who should attend

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

Prerequisites & Participant Readiness

  • Working knowledge of Human Resources, HRIS, workforce reporting, HR operations, or people analytics
  • Familiarity with employee records, headcount, hiring, attrition, attendance, learning, performance, or engagement data
  • Basic proficiency with spreadsheets, data interpretation, reporting, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, HR analytics, and workflow automation
  • Mapping AI opportunities across HRIS, workforce reporting, and people analytics
  • Understanding AI assistance versus accountable HR and workforce decisions
  • Recognising privacy, bias, fairness, data-quality, and confidentiality risks
Practical activities
  • Mapping an existing HRIS and People Analytics workflow
  • Comparing manual and AI-assisted HR data activities
  • Creating an HRIS & People Analytics AI opportunity matrix

Scenarios

HRIS Data to Workforce Analytics Dashboard

Employee Data → Data Validation → Cleansing → Metric Definition → Headcount & Movement Analysis → Attrition Analysis → Dashboard → Executive Commentary → Leadership Review

Participants use AI-assisted techniques to transform a simulated HRIS dataset into a validated workforce analytics dashboard with clear trends, exceptions, and management insights.

Workforce Data to Strategic People Planning

Headcount + Hiring + Attrition + Skills + Learning + Mobility + Engagement → AI Analysis → Workforce Trends → Capacity & Skill Gaps → Scenario Options → Priority Actions → People Analytics Dashboard → HR Leadership Review

Participants design an AI-enabled People Analytics workflow that consolidates workforce information, identifies strategic capability and capacity gaps, automates appropriate analytical processes, and strengthens HR decision support while retaining final people decisions with authorised HR leaders.

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