Role-Based Programme
RB1066

AI for Leadership

Strategic Decision-Making, Executive Productivity & Responsible Transformation

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities for leadership, strategic thinking, business analysis, and executive decision-making.
  • Apply AI to research markets, analyse business information, evaluate options, explore scenarios, and prepare leadership recommendations.
  • Use AI to strengthen executive productivity across reports, meetings, communication, planning, and stakeholder management.
  • Identify and prioritise AI opportunities that can improve business performance, customer outcomes, productivity, and organisational effectiveness.
  • Apply responsible AI practices related to confidentiality, governance, bias, evidence validation, accountability, and human judgement.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisExecutive SummarisationScenario AnalysisPresentation ToolsMeeting IntelligenceKnowledge AssistantsWorkflow Automation Concepts

Who should attend

  • Senior Leaders
  • Executive Leadership Team Members
  • Business Heads
  • Functional Heads
  • Directors
  • Vice Presidents
  • General Managers
  • Regional Leaders
  • Department Heads
  • Transformation Leaders
  • Strategy Leaders
  • Business Unit Heads
  • Operations Leaders
  • Senior Management Professionals
  • Emerging Enterprise Leaders

Prerequisites & Participant Readiness

  • Experience in leadership, management, or strategic decision-making
  • Familiarity with business planning, management reviews, and organisational priorities
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret reports, business data, and management information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, multimodal AI, reasoning models, and AI assistants
  • Understanding how AI differs from search, analytics, automation, and traditional software
  • Exploring AI applications across strategy, operations, customers, people, and productivity
  • Understanding hallucinations, uncertainty, incomplete context, and model limitations
Practical activities
  • Mapping leadership responsibilities to practical AI applications
  • Identifying high-value and low-value leadership use cases
  • Comparing traditional and AI-assisted leadership workflows

Scenarios

Strategic Business Challenge to Leadership Decision

Business Challenge → AI-Assisted Research → Evidence Analysis → Strategic Options → Scenario Assessment → Risks & Trade-Offs → Executive Decision Brief

Participants use AI to analyse a complex business challenge, evaluate evidence and alternatives, challenge assumptions, and prepare a structured leadership recommendation.

Enterprise AI Leadership Roadmap

Business Priorities → Leadership Challenges → AI Opportunities → Value & Feasibility Assessment → Governance Review → Prioritisation → 90-Day Actions → 12-Month Roadmap

Participants identify and prioritise AI opportunities across a sample organisation and create a phased leadership roadmap balancing business value, responsible adoption, governance, and execution readiness.

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