Your AI Build Saved $0 (Here's Why)

If you're a $3M+ business in a regulated industry, we'll find the #1 constraint bottlenecking your business and the best solution to solve it - whether it's AI or not - for free: https://alreadybuilt.ai/strategy?r=y25p&utm_source=podcast&utm_medium=description&utm_campaign=Y25-hours-are-not-dollars&utm_content=desc_top Somebody handed you a number for what your last AI build saved the business, and you have been repeating it ever since. Most people go and check whether that number is true, but true is not the test. A number can be completely true on the outside and still be built on the wrong metric, because most AI results get measured in hours saved, and saved hours are not saved dollars. That matters because the number does not stay on a slide. You say it out loud to your board, to a client, to somebody buying your business, and a figure you cannot back up never falls alone. It takes every other number you have given them with it. In this episode Otavio gives the two tests to run before you repeat that figure again: the law firm spending 141,000 dollars a month, about 1.7 million a year, on cloud AI that his team eliminated with an on-prem build, and the private equity firm whose analysts got through four times the work, where they refused to attach a dollar figure until three roles were actually gone. In this episode: 00:00 The number you have been repeating 00:41 What this episode covers 00:56 A figure with no evidence never falls alone 01:47 Test 1: did an invoice or a role actually go away 03:00 The law firm paying 141,000 dollars a month 03:57 Why those hours were never converted to dollars 04:14 Test 2: did the hours leave the cost base 05:12 The private equity firm that waited 06:18 The honest metric is hours 06:34 What to say next time someone asks