Role-Based Programme
RB1042

AI for Vice Presidents

Strategic Leadership, Business Performance & Decision Intelligence

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

Programme Objectives

  • Develop practical AI capabilities for strategic planning, functional leadership, business performance, and executive decision-making.
  • Apply AI to analyse markets, competitors, customers, performance data, risks, and strategic opportunities.
  • Use AI to improve executive reporting, planning, stakeholder communication, meetings, and cross-functional coordination.
  • Evaluate and prioritise AI opportunities using business value, feasibility, risk, governance, and organisational readiness.
  • Apply responsible AI practices related to confidentiality, accuracy, bias, accountability, governance, and human judgement.

Tools covered

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

Who should attend

  • Vice Presidents
  • Senior Vice Presidents
  • Executive Vice Presidents
  • Functional Vice Presidents
  • Regional Vice Presidents
  • Business Vice Presidents
  • Operations Vice Presidents
  • Sales Vice Presidents
  • Finance Vice Presidents
  • Technology Vice Presidents
  • Human Resources Vice Presidents
  • Marketing Vice Presidents
  • Strategy Vice Presidents
  • Transformation Leaders
  • Senior Business Leaders

Prerequisites & Participant Readiness

  • Experience in senior management, functional leadership, or business leadership
  • Familiarity with strategic planning, management reviews, KPIs, and business reporting
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret business reports and structured data
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, multimodal AI, reasoning models, and AI assistants
  • Exploring AI applications across strategy, operations, customers, workforce, and productivity
  • Understanding how AI differs from traditional analytics, automation, search, and business intelligence
  • Recognising hallucinations, uncertainty, incomplete context, and model limitations
Practical activities
  • Mapping Vice President responsibilities to potential AI applications
  • Identifying high-value versus low-value AI use cases
  • Comparing traditional and AI-assisted executive workflows

Scenarios

Business Growth Opportunity to Executive Decision

Growth Opportunity → Market Intelligence → Competitive Analysis → Strategic Options → Scenario Analysis → Resource Requirements → Risks & Trade-Offs → Executive Recommendation

Participants use AI to evaluate a business-growth opportunity, compare strategic alternatives, assess execution considerations, and prepare a leadership-ready recommendation.

AI-Enabled Business Transformation Portfolio

Business Priorities → Functional Challenges → AI Use Cases → Value & Feasibility Assessment → Risk & Governance Review → Prioritisation → 90-Day Actions → 12-Month Roadmap

Participants identify and evaluate AI opportunities across a sample business area and develop a prioritised transformation roadmap aligned with business value, governance, execution readiness, and organisational adoption.

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