Role-Based Programme
RB1051

AI for General Managers

Advanced Business Leadership, Performance Intelligence & Operational Transformation

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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 planning, operations, performance management, customer priorities, people leadership, and decision-making.
  • Use AI-assisted research, analysis, scenario planning, and problem-solving to improve management effectiveness and business outcomes.
  • Identify opportunities to improve productivity, quality, cost, service, growth, and execution through responsible AI adoption.
  • Evaluate AI initiatives based on business value, feasibility, risk, data readiness, workforce impact, governance, and measurable benefits.
  • Build an actionable AI-enabled business and operational transformation roadmap aligned with organisational priorities.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument IntelligenceData AnalysisScenario PlanningBusiness Performance AnalysisAI-Powered PresentationsWorkflow AutomationKnowledge AssistantsAI AgentsDecision-Support Tools

Who should attend

  • General Managers
  • Senior General Managers
  • Regional General Managers
  • Business General Managers
  • Operations General Managers
  • Functional General Managers
  • Area General Managers
  • Branch General Managers
  • Divisional General Managers
  • Profit Centre Managers
  • Business Unit Managers
  • Regional Business Leaders
  • Senior Operations Leaders
  • Managers Responsible for P&L and Business Performance

Prerequisites & Participant Readiness

  • Significant experience in business, operational, or functional management
  • Familiarity with business planning, performance reviews, team leadership, and operational management
  • Basic awareness of Generative AI and common business applications
  • Prior exposure to AI-assisted productivity or analytical tools is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, automation, and AI agents
  • Exploring AI applications across operations, customers, finance, people, strategy, and management
  • Distinguishing AI assistance, analytics, automation, and autonomous execution
  • Understanding hallucinations, uncertainty, context limitations, and human accountability
Practical activities
  • Mapping AI opportunities across a General Manager's responsibilities
  • Identifying activities suitable for augmentation, automation, or human ownership
  • Creating a personal AI opportunity map for general management

Scenarios

Business Performance Challenge to Management Action

Performance Gap → Data & Process Analysis → Root Causes → Business Options → Scenario Evaluation → Financial & Operational Impact → Risks → Management Recommendation

Participants use AI to analyse a complex business-performance challenge, identify underlying issues, evaluate alternative responses, and develop a structured management recommendation.

AI-Enabled Business Transformation Roadmap

Business Priorities → Operational Challenges → AI Opportunities → Value & Feasibility → Business Case → Governance → Workforce Impact → Prioritisation → 12–24 Month Roadmap

Participants act as General Managers to develop an AI transformation roadmap covering business performance, productivity, customer outcomes, workforce capability, governance, investment, and measurable value.

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Instructor-ledVirtualHybrid

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