Model Online / On-Site
Duration
Modules 5 modules

Course Objective & Scope

AI does not make decisions, but used well it widens the option set, challenges assumptions and surfaces overlooked risks. The course applies decision trees, multi-criteria comparison matrices, scenario planning, pre-mortems and red-team perspectives with LLMs, while keeping accountability for verification with people.

Participants work on a real decision case from their unit and produce an assumption log, a scenario table and a reasoned decision memo. Verification checkpoints and the kinds of decisions where AI should not be used are also made explicit.

Who Should Attend?

  • Middle and senior managers
  • Strategy, planning and risk management teams
  • Analysts preparing investment, procurement and product decisions
  • Project sponsors and committee members

Key Takeaways

  • Structure a decision problem with criteria, constraints and assumptions
  • Generate alternative scenarios and counter-arguments with LLMs
  • Expose hidden risks with pre-mortem and red-team prompts
  • Recognise and reduce biases such as confirmation bias and anchoring
  • Write a reasoned, traceable, human-approved decision memo

Curriculum

Structuring the Decision Problem
  • Separating goals, criteria, constraints and assumptions
  • Identifying information gaps with AI
Generating and Comparing Options
  • Multi-criteria decision matrix and weighting
  • Pros-cons and trade-off analysis
Scenario Planning and Sensitivity
  • Optimistic, base and pessimistic scenarios
  • Testing the sensitivity of critical assumptions
Pre-mortems, Red Teaming and Biases
  • Failure scenario prompts
  • Cognitive bias checklist
Decision Memo and Governance
  • Reasoned decision memo template
  • Human approval, traceability and the limits of AI

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