How to Estimate AI ROI: A Case Study

Hosted by Nick Zervoudis

97 students

What you'll learn

How to build a "good enough" ROI estimate for AI projects

Focus on the 3-4 key assumptions that drive your case. Learn when perfection kills momentum and consensus builds buy-in.

Translate operational metrics into financial impact

Map how AI improves operations to what CFOs care about. Learn the questions that bridge metrics to financial impact.

Identify and align the stakeholders that make ROI stick

Know who needs to buy in at each stage. Learn how to involve them early so your ROI estimate actually sticks.

Why this topic matters

Gone are the days when data teams could get budget for new hires or projects without a compelling business case. If you want to get buy-in from your leadership & business, you need to estimate the ROI of your work upfront. Not only does this help prove your value to the org; it's also an essential tool for making sure you're working on the right things instead of AI for the sake of AI. (Part 2/2)

You'll learn from

Nick Zervoudis

Data & AI Product Management Consultant

Nick has spent the past decade delivering business value through data, analytics, and AI projects and products as a consultant and in-house data product manager.

Nick is the founder of Value of Data & AI, a specialist data & AI product management consultancy helping data teams deliver commercial outcomes through training, coaching, and hands-on support.

Previous clients & employers