Role-Based Programme
RB1046

AI for Directors

Strategic Decision-Making, Business Performance & Leadership Transformation

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

Programme Objectives

  • Develop practical AI capabilities for strategic planning, departmental leadership, business analysis, and management decision-making.
  • Apply AI to analyse markets, competitors, customers, business performance, risks, and emerging opportunities.
  • Use AI to improve management reviews, reporting, executive communication, meetings, and cross-functional coordination.
  • Identify and prioritise AI opportunities that can improve productivity, service quality, decision-making, and business outcomes.
  • Apply responsible AI practices related to confidentiality, evidence validation, bias, governance, accountability, and human judgement.

Tools covered

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

Who should attend

  • Directors
  • Senior Directors
  • Functional Directors
  • Business Directors
  • Regional Directors
  • Operations Directors
  • Sales Directors
  • Finance Directors
  • Marketing Directors
  • Technology Directors
  • Human Resources Directors
  • Customer Experience Directors
  • Strategy Directors
  • Transformation Directors
  • Programme Directors
  • Senior Management Leaders

Prerequisites & Participant Readiness

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

TOC Modules

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

Scenarios

Business Performance Challenge to Strategic Action

Performance Data → Market & Customer Context → Variance Analysis → Strategic Options → Scenario Assessment → Resource Priorities → Risks → Management Recommendation

Participants use AI to evaluate a simulated business-performance challenge, analyse contributing factors, compare strategic options, and prepare a management-ready action recommendation.

AI-Enabled Functional Transformation Roadmap

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

Participants identify and evaluate AI opportunities across a sample function or business area and build a phased transformation roadmap aligned with business value, execution readiness, governance, and responsible adoption.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.