AI Impact Guide: How to move your AI use cases from hype to ROI

Every organisation wants to use AI strategically, but it can be difficult to know where to start or how to guarantee value beyond vanity metrics.

The first hurdle is demonstrating exactly where to invest in AI and why. Data quality and internal skills gaps are common barriers, and traditional approaches to strategy simply aren’t cut out for AI – the technology is evolving too rapidly.

Aiimi’s AI Now report in 2024 found only 32% of companies understood how to measure ROI on AI projects. Since then, a recent report by Wavestone has found that nearly half of businesses still lack structured ROI frameworks.

To unlock the value of AI in the enterprise, the most effective starting point isn’t technology or data – it’s questions. When you start with, “What questions does my organisation want to answer with AI?”, you can focus your efforts on the data that truly matters, narrowing your field of vision to what will drive the most impact.

Aiimi's AI Impact Guide reveals how real-world leaders are moving their AI initiatives from hype to measurable ROI, with expert advice and impact case studies to help you do the same.

What’s inside?

• Identifying AI use cases that prove ROI

• Making a go/no-go decision on AI use cases

• The value of good data

• Metrics to define AI's value

• Real-world examples of AI improving time-to-value and reducing costs, including:

  • 5,000 uses of a new AI tool in 1 month

  • AI that’s reduced the risk of £1M fines

  • 5x faster access to fault resolutions on the production line

• Case Study: How The Insolvency Service turned 88 AI use cases into 5 high-value opportunities

Who should read this report? 

• CIOs, CDOs, and Heads of Data 

• Heads of Digital, Innovation, and AI 

• Transformation Project Leads

• Chief Financial Officers