Role-Based Programme
RB1469

AI-Powered HRIS & People Analytics

Smarter Workforce Data, HR Reporting & People Insights

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support HRIS and People Analytics across workforce data management, reporting, trend analysis, and HR decision support.
  • Apply AI-assisted techniques to clean, structure, summarise, and analyse anonymised HR and workforce data.
  • Use structured prompting for HR metrics, workforce trends, dashboard commentary, data-quality reviews, and management reporting.
  • Explore AI-supported approaches for identifying workforce patterns, data gaps, attrition trends, hiring movements, and people-related insights.
  • Build responsible AI-assisted HR analytics workflows while maintaining employee privacy, data quality, fairness, access control, and human judgement.

Tools covered

Generative AI AssistantsAI Search & ResearchHRIS Data AnalysisSpreadsheet & People AnalyticsHR DashboardingWorkforce Trend AnalysisHR Reporting AIDocument AIWorkflow Automation

Who should attend

  • HRIS Analysts
  • People Analytics Analysts
  • HR Analytics Professionals
  • HR Data Analysts
  • HRIS Administrators
  • HR Operations Analysts
  • Workforce Analytics Professionals
  • HR Reporting Analysts
  • People Operations Professionals
  • HR Business Partners
  • Talent Analytics Professionals
  • HR Technology Professionals
  • HRIS Managers
  • People Analytics Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Human Resources processes and workforce data
  • Familiarity with HRIS reports, spreadsheets, HR metrics, or employee data is helpful
  • Basic computer, spreadsheet, and data-handling skills
  • No AI or programming knowledge required
  • No previous AI training required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to HRIS and People Analytics
  • Identifying AI applications across HR data management, workforce reporting, analytics, and decision support
  • Understanding AI assistance versus HR analyst and management judgement
  • Recognising limitations such as incomplete data, bias, hallucinations, and unsupported workforce conclusions
Practical activities
  • Mapping a typical HRIS and People Analytics workflow
  • Identifying repetitive and information-intensive HR analytics tasks suitable for AI assistance
  • Comparing a traditional HR reporting task with an AI-assisted approach

Scenarios

HRIS Data to Workforce Dashboard

HRIS Data → AI-Assisted Data Quality Review → HR Metrics → Workforce Segmentation → Trend Analysis → Dashboard → Management Commentary

Participants use AI to analyse anonymised workforce data, validate key HR metrics, identify patterns, and prepare a management-ready workforce dashboard.

Attrition & Hiring Data to People Insights

Headcount + Hiring + Attrition + Tenure + Internal Movement → AI Analysis → Workforce Patterns → Areas for Investigation → HR Review → Leadership Report

Participants use AI to analyse sample People Analytics data, identify workforce trends and questions requiring further investigation, and prepare a concise leadership report without delegating employment decisions to AI.

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