Role-Based Programme
RB1463

AI-Powered HR Operations & Shared Services

Intelligent Employee Services, Process Automation & HR Service Excellence

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

Programme Objectives

  • Develop advanced capability to apply AI across HR Operations, Shared Services, employee lifecycle administration, HR case management, documentation, and service delivery.
  • Use AI to analyse employee requests, HR transactions, service tickets, HR records, policies, workforce data, service-level metrics, and operational documentation.
  • Build repeatable AI-assisted workflows for employee query handling, onboarding, employee data changes, document administration, case routing, follow-up, and reporting.
  • Apply AI to identify recurring service requests, process bottlenecks, SLA risks, documentation gaps, operational exceptions, and opportunities for HR service improvement.
  • Design responsible AI-enabled HR Operations workflows with appropriate controls for employee privacy, confidentiality, fairness, accuracy, access, auditability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AIHRIS PlatformsSpreadsheet & Data AnalysisHR Case Management ToolsEmployee Service PortalsKnowledge Management AIReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • HR Operations Managers
  • HR Shared Services Managers
  • HR Operations Executives
  • HR Shared Services Professionals
  • HR Service Delivery Professionals
  • People Operations Professionals
  • HR Coordinators
  • HR Administrators
  • Employee Services Professionals
  • HR Case Management Professionals
  • HRIS Operations Professionals
  • HR Service Desk Professionals
  • HR Process Excellence Professionals
  • People Services Managers
  • HR Operations & Shared Services Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of HR operations, employee services, HR administration, or Shared Services
  • Familiarity with employee lifecycle processes, HRIS records, HR policies, employee queries, documentation, and service requests
  • Basic proficiency with spreadsheets, documents, email, HR systems, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, Document AI, and HR workflow automation
  • Mapping AI opportunities across HR Operations and Shared Services
  • Understanding AI assistance versus accountable HR decisions
  • Recognising privacy, confidentiality, bias, data-quality, and compliance risks
Practical activities
  • Mapping an existing HR service-delivery lifecycle
  • Comparing manual and AI-assisted HR operations activities
  • Creating an HR Operations AI opportunity matrix

Scenarios

Employee Request to HR Service Resolution

Employee Request → AI Intake → Classification → Policy / Record Review → Case Assignment → Resolution Support → Employee Communication → SLA Tracking → Closure

Participants use AI-assisted techniques to manage a simulated HR service request from intake through classification, resolution, communication, and closure while maintaining appropriate privacy and human oversight.

HR Shared Services Data to Operational Improvement

HR Cases + SLA Data + Employee Queries + Transaction Errors + Backlog + Knowledge Usage → AI Analysis → Recurring Patterns → Service Bottlenecks → Priority Improvements → Automated Follow-Up → HR Operations Dashboard → Management Review

Participants design an AI-enabled HR Operations workflow that consolidates service and transaction data, identifies recurring service issues, automates suitable administrative activities, and improves employee service delivery while retaining sensitive HR decisions with authorised professionals.

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