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Tagged with: #roi

Posts tagged with #roi show how to develop meaningful approaches to demonstrating the full spectrum of technology-enabled business value.

Rethinking Business Cases in the Age of AI: Building Your AI Business Case

London | Published in AI and Board | 18 minute read |    
A professional team collaborates around a conference table reviewing an AI business case document. Digital displays show multi-dimensional value metrics, ROI projections across different time horizons, and strategic alignment graphics. The scene conveys analytical rigour combined with strategic vision in building a compelling AI investment case. (Image generated by ChatGPT 4o).

Organisations are demanding disciplined, comprehensive business cases for AI initiatives that balance traditional financial rigour with frameworks capturing AI’s unique value creation patterns. In this fourth article in my series on AI business cases, I provide a step-by-step guide to building AI business cases that secure approval and set the foundation for successful implementation.


Rethinking Business Cases in the Age of AI: Creating the Foundation

Seattle | Published in AI and Board | 14 minute read |    
A business team collaborating around a modern table with holographic displays showing five interconnected building blocks that form a complete AI business case evaluation structure. (Image generated by ChatGPT 4o).

Building on my previous thoughts about why traditional business cases fail for AI investments, this article explores what I consider to be the essential building blocks for a more effective evaluation approach. This foundation provides boards with the tools to assess AI’s unique value creation patterns while maintaining financial discipline - helping leaders confidently navigate investment decisions that conventional models simply cannot adequately evaluate.


Rethinking Business Cases in the Age of AI: What Boards Need to Know

London | Published in AI and Board | 11 minute read |    
A group of business professionals in a futuristic Boardroom analyse AI investment data, with glowing holographic charts, ROI metrics, dollar signs, and an upward-trending arrow pointing toward a central “AI” node, symbolising growth and financial impact in the age of artificial intelligence. (Image generated by AI).

In today’s AI-driven landscape, traditional business case methods fall short when evaluating AI investments. Drawing from my experience developing AWS’s cloud business case tools, I explore why conventional ROI models struggle with AI’s parallel, multi-speed adoption patterns. Unlike cloud’s sequential journey, AI initiatives exist simultaneously across different maturity stages, creating valuation challenges that standard metrics can’t capture. Boards need new evaluation approaches that account for AI’s diverse cost structures, varying timelines for returns, and how investments in one area often enable value in entirely different parts of the business.


Measuring AI value: A strategic framework for Boards and business leaders

London | Published in AI and Board | 12 minute read |    
A measuring tape sits on top of an AI model to symbolize the concept of measuring AI's ROI, while a Board meets to review the data (Image generated by ChatGPT 4)

In my early years at Amazon Web Services (AWS), I created a tool for building cloud business cases that went beyond measuring just total cost of ownership and now forms the basis of our approach to costing migrations. I later co-authored the Cloud Value Framework (CVF) which focusses on measuring cloud value across four areas: cost optimisation, risk reduction, increased agility, and resource efficiency. So it should come as no surprise that I often get asked by Boards and the executives I meet “How do we decide if we should make an AI investment and how do we measure its ROI?”