EP 271 - How to Quantify AI ROI Beyond 'Time Saved'
About this episode
Susan Diaz discusses the limitations of measuring AI success by time saved and introduces a more effective AI ROI stack with five key metrics.
If you're measuring AI success by "hours saved" you're playing the easiest game in the room. In this episode, Host Susan Diaz explains why time saved is weak and sometimes harmful, then shares a better "AI ROI stack" with five metrics that map to real business value and help you build dashboards that actually persuade leadership. Episode summary Time saved is fine. It's also table stakes. Susan breaks down why "we saved 200 hours" is the least persuasive AI metric, and why it can backfire by punishing your early adopters with more work. She then introduces a smarter approach: a set of five metrics that connect AI usage to quality, risk, growth, decision-making, and compounding capability. If you want your AI work funded, supported, and taken seriously, you need to move the conversation from cost to investment. This episode shows you how. Key takeaways Time saved doesn't automatically convert to value. If no one reinvests the saved time, you just made busy work faster. Hours saved can punish high performers. Early adopters save time first. They often get "rewarded" with more work. Time saved misses the second-order benefits. AI's biggest wins often show up as fewer mistakes…
More episodes of AI Literacy for Entrepreneurs
- EP 274 The Human OS - AI Adoption With Curiosity, Safety, and Monday Ease ft. Melissa Penton
- 273 - Future-proofing your organization through continuing AI literacy
- EP 272 - Mindset, Sales, and AI That Actually Helps with Gazzy Amin
- EP 270 - From AI Awareness → AI Readiness → AI Adoption with Jennifer Hufnagel
- EP 269 - Why One-Off AI Training Fails (and What to Do Instead)
- EP 268 Women, AI, and 'Hold the Door' Leadership with Chris McMartin
Explore listener stats, chart rankings, contacts and more on the AI Literacy for Entrepreneurs podcast page.