Evaluating and Prioritising Artificial Intelligence Projects Guide

This guide presents a structured approach to evaluating and prioritising artificial intelligence (AI) projects to enhance decision-making and investment outcomes. It outlines a comprehensive checklist for assessing various aspects of AI initiatives, including strategic alignment, investment considerations, data quality, and risk management. The guide emphasizes the importance of a problem-focused methodology, where AI projects are defined by their ability to address specific business challenges rather than being driven by technology alone. It details the critical resources required for successful AI implementation, including data, hardware, software, and skilled personnel. The document also categorizes different types of AI projects, such as machine learning and foundation model applications, and discusses their unique characteristics and applications. Furthermore, it highlights the necessity of stakeholder engagement and iterative evaluation processes to adapt to evolving project needs and uncertainties. Overall, the guide serves as a practical resource for organisations seeking to make informed decisions regarding AI investments.