AI Across the Lifecycle Series #3 - Development of Preventive Maintenance with AI | Facilities Unfiltered Episode 11

In this AI Across the Lifecycle Series installment, Josh Lowe and Nic Guedenet unpack where AI can genuinely help PM teams right now: accelerating calendar-based schedules by pulling from trusted sources like manufacturer O&M manuals and industry standards, while avoiding the “bad data faster” trap that comes from poorly constrained tools and questionable inputs. From there, the conversation moves into the real-world complexity: how to balance manufacturer-prescriptive recommendations with what’s actually worth the squeeze, how to rethink “preventive vs. reactive” KPIs in a world of sensors and BMS alarms, and why the biggest opportunity may be AI acting as the brain layer—prioritizing work when staffing and time are constrained. They also dig into practical, high-impact possibilities like dynamically adjusting PM plans when staffing changes, bundling tasks when a tech is already on-site, and using AI to reinforce safety procedures and SOPs so efficiency never comes at the expense of people. Chapters (00:00:06) - Unfiltered: The Built Reality(00:00:33) - What Do We Need For AI in Preventative Maintenance?(00:07:18) - Reactive PMs: Is the AI Good for Business?(00:13:53) - Preventative Maintenance: Culture Shift(00:21:19) - Is AI Integrating With BMS Systems?(00:28:14) - A Week in the AI Wars