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

Course Overview

Select AI initiatives using business value, feasibility and oversight needs.

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 prioritized ai use-case portfolio.

Learning Outcomes

Assess ai opportunities and business problem definition.

Evaluate value, feasibility and data readiness criteria.

Apply a structured approach to use-case scoring and portfolio balance.

Develop recommendations for pilot governance and resource planning.

Prepare and present a prioritized ai use-case portfolio.

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 opportunities and business problem definition working brief – proposed exercise document.

Value, feasibility and data readiness criteria working brief – proposed exercise document.

Use-case scoring and portfolio balance working brief – proposed exercise document.

Pilot governance and resource planning working brief – proposed exercise document.

Prioritized AI use-case portfolio – 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 opportunities and business problem definition

Define the context, assess current practices and identify the key decisions relating to ai opportunities and business problem definition.

Practical output: AI opportunities and business problem definition working brief

Day 2 – Value, feasibility and data readiness criteria

Interpret sample information, compare suitable approaches and document assumptions for value, feasibility and data readiness criteria.

Practical output: Value, feasibility and data readiness criteria working brief

Day 3 – Use-case scoring and portfolio balance

Apply structured tools to an anonymized case and develop recommendations for use-case scoring and portfolio balance.

Practical output: Use-case scoring and portfolio balance working brief

Day 4 – Pilot governance and resource planning

Review responsibilities, risks and follow-up measures through a practical exercise on pilot governance and resource planning.

Practical output: Pilot governance and resource planning working brief

Day 5 – AI portfolio recommendation workshop

Integrate the course learning into a practical assignment on ai portfolio recommendation workshop; present recommendations and an implementation roadmap.

Practical output: Prioritized AI use-case portfolio