Proposed five-day professional program. Approximately 25-30 training hours. Final arrangements are confirmed in the written proposal.
Course Overview
Use AI as a structured aid for exploring management scenarios and assumptions.
This proposed five-day program combines practical case analysis, guided exercises and peer discussion. Participants adapt the course concepts to organizational circumstances and prepare a ai-supported scenario analysis brief.
Learning Outcomes
Assess decision context and scenario questions.
Evaluate assumption generation and comparison.
Apply a structured approach to scenario evidence and uncertainty.
Develop practical recommendations for human challenge and sensitivity review.
Prepare and present a ai-supported scenario analysis brief.
Who Should Attend
Functional managers, business analysts, AI project coordinators and professionals planning AI-enabled work.
Relevant work experience is recommended. The participant profile, prerequisite knowledge and case complexity are reviewed during planning.
Training Methodology
Facilitated discussion, worked examples, anonymized case analysis, practical exercises, peer review and an applied final assignment.
Learning assessment may include a baseline discussion, review of exercise outputs and a final presentation. Attendance and completion requirements are confirmed in the proposal.
Course Tools and Templates
Decision context and scenario questions worksheet – proposed exercise document.
Assumption generation and comparison worksheet – proposed exercise document.
Scenario evidence and uncertainty worksheet – proposed exercise document.
Human challenge and sensitivity review worksheet – proposed exercise document.
AI-supported scenario analysis brief – proposed exercise document.
Delivery Requirements
Classroom, live online and in-house delivery can be arranged by agreement. The trainer, language, venue or platform, timetable and required materials are confirmed in writing.
A laptop may be needed for analytical or planning activities. Software availability, licenses and access requirements are agreed before delivery.
Course Customization
The indicative five-day sequence can be adapted to participant experience, industry context and agreed learning objectives. Final dates, fees, agenda, certificate details and delivery arrangements are confirmed in the written proposal.
Proposed Five-Day Course Outline
Day 1 – Decision context and scenario questions
Define the business context, assess current practices and clarify the decisions relating to decision context and scenario questions.
Practical output: Decision context and scenario questions worksheet
Day 2 – Assumption generation and comparison
Interpret representative information and compare practical approaches to assumption generation and comparison.
Practical output: Assumption generation and comparison worksheet
Day 3 – Scenario evidence and uncertainty
Use the course tools in a realistic case focused on scenario evidence and uncertainty, documenting assumptions and recommendations.
Practical output: Scenario evidence and uncertainty worksheet
Day 4 – Human challenge and sensitivity review
Review responsibilities, risks and follow-up measures through a practical exercise on human challenge and sensitivity review.
Practical output: Human challenge and sensitivity review worksheet
Day 5 – Scenario analysis case workshop
Integrate the learning through scenario analysis case workshop, present the final assignment and propose workplace actions.
Practical output: AI-supported scenario analysis brief
