Five-day professional program. Approximately 25-30 training hours. Final agenda, language and delivery arrangements are confirmed in the proposal.

Course Overview

Frame informed executive questions about AI opportunities and limitations.

This proposed five-day program develops a structured approach through case analysis, facilitated discussion and practical working documents. Participants adapt the learning to their organizational context and produce a final executive ai oversight question pack.

Learning Outcomes

Assess ai concepts and organizational value.

Evaluate data, capabilities and implementation dependencies.

Apply a structured approach to investment assumptions and oversight questions.

Develop recommendations for responsible adoption and organizational accountability.

Prepare and present a executive ai oversight question pack.

Who Should Attend

Business leaders, functional managers, transformation teams and professionals evaluating AI applications.

Relevant professional experience is recommended. Participant responsibilities and prerequisite knowledge are reviewed during scoping.

Training Methodology

Facilitated discussion, worked examples, anonymized case analysis, practical workshops, peer feedback and an applied final assignment.

Learning assessment may include a baseline discussion, review of working documents and a final presentation. Completion requirements are confirmed in the proposal.

Course Tools and Templates

AI concepts and organizational value working brief – proposed exercise document.

Data, capabilities and implementation dependencies working brief – proposed exercise document.

Investment assumptions and oversight questions working brief – proposed exercise document.

Responsible adoption and organizational accountability working brief – proposed exercise document.

Executive AI oversight question pack – proposed exercise document.

Delivery Requirements

Classroom, live online and in-house formats can be arranged by agreement. Venue, platform, language, timetable, trainer and materials are confirmed in writing.

A laptop may be needed for planning and analytical exercises. Required software, access and prerequisite skills are agreed before delivery.

Course Customization

The proposed five-day agenda can be adapted to the participant group, sector and organizational objectives. Dates, fees, delivery suitability and final activities are confirmed in the written proposal.

Course Outline

Proposed sequence, subject to the agreed training proposal.

Day 1 – AI concepts and organizational value

Define the context, assess current practices and identify the key decisions relating to ai concepts and organizational value.

Practical output: AI concepts and organizational value working brief

Day 2 – Data, capabilities and implementation dependencies

Interpret sample information, compare suitable approaches and document assumptions for data, capabilities and implementation dependencies.

Practical output: Data, capabilities and implementation dependencies working brief

Day 3 – Investment assumptions and oversight questions

Apply structured tools to an anonymized case and develop recommendations for investment assumptions and oversight questions.

Practical output: Investment assumptions and oversight questions working brief

Day 4 – Responsible adoption and organizational accountability

Review responsibilities, risks and follow-up measures through a practical exercise on responsible adoption and organizational accountability.

Practical output: Responsible adoption and organizational accountability working brief

Day 5 – Executive AI decision simulation

Integrate the course learning into a practical assignment on executive ai decision simulation; present recommendations and an implementation roadmap.

Practical output: Executive AI oversight question pack