AI Across the Lifecycle Series #4 - Bolt-On vs. Built-In AI. Why AI in FM Software Isn't All Equal | Episode 13

In the finale of our AI Across the Lifecycle series, Josh and Nic sit down with AkitaBox product expert Dan Cooper to cut through the noise around “AI-enabled” facility management software. With AI suddenly everywhere—from IFMA show floors to CMMS feature lists—the team unpacks a crucial reality: not all AI is created equal, and a bolt-on chatbot that summarizes work orders is a very different animal than AI that’s trained for facilities and built directly into your workflows. You’ll hear what “trained” vs. “untrained” AI really means in practice, why most FM data sets degrade the moment they’re delivered, and how AI-native systems can help close the gap by writing data, flagging missing fields, and focusing teams on the few changes that actually matter. They also share a simple set of questions owners should ask any vendor claiming AI capabilities—plus a look at the bigger prize: moving from stale point-in-time assessments to “living data” and predictive signals that can trigger diagnostics before failures happen. Chapters (00:02:56) - Training AI vs Untrained AI(00:10:19) - Maintain Your Data: Will I Die on the Hill?(00:15:46) - Is AI Worth the Investment in Your Data?(00:23:32) - How AI Can Help You Manage the Heat