Role-Based Programme
RB1045
AI for Directors
Strategic Execution, Business Performance & Leadership Decision-Making
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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop
Programme Objectives
- Understand how AI can support Directors in strategic execution, business performance, planning, communication, and decision-making.
- Apply AI to analyse reports, operational data, customer information, market developments, and management priorities.
- Use AI to improve business reviews, stakeholder communication, problem-solving, team coordination, and management productivity.
- Develop practical skills for prompting, scenario analysis, option comparison, executive summarisation, and decision preparation.
- Understand responsible AI use, confidentiality, governance, accuracy, bias, and leadership accountability.
Tools covered
Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisScenario AnalysisExecutive SummarisationAI-Powered Presentation & Communication Tools
Who should attend
- Directors
- Business Directors
- Functional Directors
- Operations Directors
- Sales Directors
- Marketing Directors
- Finance Directors
- HR Directors
- Technology Directors
- Customer Service Directors
- Commercial Directors
- Programme Directors
- Regional Directors
- Senior Functional Leaders
Prerequisites & Participant Readiness
- Experience in management, functional leadership, or business leadership
- Familiarity with business planning, management reporting, and performance reviews
- Basic understanding of digital business tools
- No programming or technical AI knowledge required
- Prior AI-tool experience is helpful but not mandatory
TOC Modules
Concepts
- Understanding Generative AI, Large Language Models, multimodal AI, and AI assistants
- Understanding how AI supports leadership, planning, productivity, analysis, and communication
- Distinguishing AI assistance from traditional search, automation, and analytics
- Understanding AI limitations, hallucinations, uncertainty, and data-quality risks
Practical activities
- Identifying recurring Director-level activities suitable for AI assistance
- Comparing traditional and AI-assisted approaches to a management task
- Mapping potential AI applications across functional responsibilities
Scenarios
Performance Issue to Management Decision
Performance Data → AI Analysis → Key Variances → Possible Drivers → Response Options → Risk Assessment → Decision Brief → Action Plan
Participants use AI to investigate a sample performance challenge, evaluate potential causes and response options, and prepare a structured management action plan.
Business Objective to Cross-Functional Execution
Business Objective → Priorities → Stakeholders → Initiatives → Dependencies → Risks → KPIs → Management Review
Participants use AI to translate a business objective into a coordinated execution plan with clear ownership, measurable outcomes, and structured leadership communication.
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