Role-Based Programme
RB1035

AI for Business Unit Heads

Advanced Business Strategy, Performance Intelligence & AI-Driven Growth

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

Programme Objectives

  • Develop advanced capability to apply AI across business-unit strategy, growth, operational performance, financial management, customer priorities, and leadership.
  • Use AI-assisted research, analysis, and scenario modelling to support complex business-unit decisions.
  • Identify and prioritise AI opportunities that improve revenue, margins, productivity, customer experience, and execution.
  • Build structured approaches for evaluating business cases, risks, workforce implications, governance, and measurable value from AI initiatives.
  • Develop an actionable AI-enabled business-unit transformation roadmap aligned with enterprise priorities and business outcomes.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument IntelligenceData AnalysisScenario PlanningBusiness Performance AnalysisExecutive Presentation ToolsAI-Powered AutomationKnowledge AssistantsAI AgentsDecision-Support Tools

Who should attend

  • Business Unit Heads
  • Business Unit Directors
  • General Managers
  • Divisional Heads
  • Business Heads
  • Profit Centre Heads
  • Segment Heads
  • Vertical Heads
  • Regional Business Heads
  • Portfolio Heads
  • Functional Business Leaders
  • Senior General Managers
  • Business Unit Leadership Team Members
  • Executives Responsible for P&L and Business Performance

Prerequisites & Participant Readiness

  • Significant experience in business leadership, general management, or functional leadership
  • Familiarity with business-unit strategy, P&L, operational performance, customer priorities, and business reviews
  • Basic awareness of Generative AI and common business applications
  • Prior exposure to AI-assisted productivity or analytics tools is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, intelligent automation, and AI agents
  • Exploring AI applications across growth, finance, operations, customers, people, and decision-making
  • Distinguishing AI assistance, analytics, automation, and autonomous execution
  • Understanding hallucinations, uncertainty, context limitations, and human accountability
Practical activities
  • Mapping AI opportunities across a sample business unit
  • Identifying leadership activities suitable for augmentation or automation
  • Creating a personal AI opportunity map for Business Unit Heads

Scenarios

Business Unit Growth & Performance Transformation

Business Performance → Market & Customer Intelligence → Growth Opportunities → Strategic Options → Financial Impact → Operational Requirements → Risks → Executive Recommendation

Participants use AI to diagnose business-unit performance, identify growth opportunities, evaluate strategic alternatives, and prepare a leadership recommendation balancing revenue, profitability, customer outcomes, and execution capability.

AI-Enabled Business Unit Transformation Roadmap

Business Priorities → Process & Capability Challenges → AI Use Cases → Value & Feasibility → Business Case → Governance → Workforce Impact → Prioritisation → 12–24 Month Roadmap

Participants build a comprehensive AI transformation roadmap for a business unit, covering growth, productivity, customer experience, workforce capability, governance, investment, and measurable business outcomes.

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