AI Across the Lifecycle Series #2 - The Foundation: Data Collection & Cleanliness | Facilities Unfiltered Episode 10

AI promises to help facilities teams do more with less—but only if the foundation is solid. In this second episode of the AI Across the Lifecycle series, Josh and Nic sit down with AkitaBox Director of Product Geoff Baron to unpack the unglamorous (and absolutely essential) reality behind successful AI in the built environment: data collection, structure, and cleanliness. From “garbage in, garbage out” to why AI will confidently fill gaps when your data model is broken, they break down what facilities leaders should do before they ever “push the go button.” You’ll hear practical perspective on why so many AI projects miss expectations, how to think about AI as an “exoskeleton” rather than a replacement for human judgment, and where early wins can show up once your data is in shape. If you’re curious about AI but wary of hype, privacy concerns, or messy reality on the ground, this episode maps the path from hesitation to readiness—without pretending the hard parts don’t exist. Chapters (00:00:05) - Facilities Unfiltered: The Built Environment(00:08:19) - What's the Next Quagmire for AI in Business?(00:12:45) - What Should FMs Expect From AI?(00:18:22) - What are the Easy Wins for AI in the Data Industry?(00:23:10) - A Week in the Life of AI