Role-Based Programme
RB1447

AI-Powered Talent & Performance Management

Intelligent Talent Analytics, Performance Enablement & Succession Planning

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

Programme Objectives

  • Develop advanced capability to apply AI across performance management, talent reviews, succession planning, career development, skills analysis, and employee development.
  • Use AI to analyse goals, performance evidence, competency data, development plans, talent profiles, succession information, workforce trends, and employee feedback.
  • Build repeatable AI-assisted workflows for goal setting, review preparation, talent discussions, development planning, succession readiness, and management reporting.
  • Apply AI to identify capability gaps, development priorities, talent risks, succession gaps, performance trends, and workforce-development opportunities.
  • Design responsible AI-enabled Talent & Performance Management workflows with appropriate controls for privacy, fairness, bias, explainability, confidentiality, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisTalent Management PlatformsPerformance Management ToolsSkills Intelligence ToolsSuccession Planning AnalyticsEmployee Feedback AnalyticsReporting & Dashboard ToolsKnowledge Management AIWorkflow Automation

Who should attend

  • Talent Management Managers
  • Performance Management Managers
  • Talent Development Professionals
  • HR Business Partners
  • HR Managers
  • Talent Management Specialists
  • Performance Management Specialists
  • Succession Planning Professionals
  • Leadership Development Professionals
  • Learning & Development Managers
  • People Analytics Professionals
  • Workforce Planning Professionals
  • HR Transformation Professionals
  • People & Culture Managers
  • Talent & Performance Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of talent management, performance management, employee development, succession planning, or Human Resources
  • Familiarity with goals, competencies, performance reviews, development plans, talent reviews, and workforce data
  • Basic proficiency with spreadsheets, documents, presentations, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, talent intelligence, and workflow automation
  • Mapping AI opportunities across performance, talent, succession, and employee development
  • Understanding AI assistance versus accountable people decisions
  • Recognising privacy, fairness, bias, confidentiality, and explainability risks
Practical activities
  • Mapping an existing Talent & Performance Management lifecycle
  • Comparing manual and AI-assisted talent activities
  • Creating a Talent & Performance AI opportunity matrix

Scenarios

Performance Review to Individual Development Plan

Business Goals → Employee Objectives → Performance Evidence → AI-Assisted Review Preparation → Manager Calibration → Feedback Discussion → Development Gaps → Individual Development Plan → Follow-Up

Participants use AI-assisted techniques to manage a simulated performance cycle, organise evidence, prepare balanced review inputs, identify development priorities, and create a structured development plan while retaining performance decisions with authorised managers.

Talent Data to Succession & Capability Strategy

Performance Data + Competency Data + Talent Profiles + Critical Roles + Development Records + Mobility Information → AI Analysis → Capability Gaps → Succession Risks → Development Priorities → Talent Dashboard → Leadership Review

Participants design an AI-enabled Talent & Performance workflow that consolidates talent information, identifies workforce-level capability and succession gaps, automates appropriate administrative follow-up, and strengthens leadership visibility while retaining final talent decisions with authorised HR and business leaders.

Continue with programmes from the same capability area.

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Instructor-ledVirtualHybrid

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