Welcome to our podcast series where we talk about commercial HVAC the way facility managers actually deal with it - practical, straightforward, and built for the people responsible for keeping facilities running every day across multi-site portfolios.
This episode focuses on one of the biggest shifts happening in HVAC maintenance today: how AI-driven monitoring is changing the way facility managers identify issues, reduce downtime, and take control of their operations. That’s why we invite you to listen to:
AI & the Future of HVAC Maintenance: Prevent Costly Downtime Through Predictive Monitoring
If you're responsible for managing HVAC systems across your facilities, this episode walks you through how AI monitoring actually works - from how sensors connect to equipment and generate real-time data to how predictive analytics identifies early warning signs like temperature drift, pressure changes, and abnormal cycling patterns. Everything is explained in plain, practical terms you can apply across your sites without needing a technical background.
Your hosts are Scott Truman (General Manager), Mark Benson (Founder), and Rich Wetchler (Founder) of Impact Service Group. Together, they bring decades of experience supporting multi-site operations across retail, restaurant, financial, and commercial facilities nationwide. They’ve seen firsthand how reactive maintenance leads to costly surprises - and how predictive monitoring changes that equation entirely.
Why Watch/Listen This Episode:
- How AI connects to HVAC equipment through sensors, monitors, and existing systems like BAS and EMS
- What AI is actually tracking - including drift, cycling patterns, and performance changes over time
- How predictive limits help identify issues before they become emergency failures
- The differences between EMS, BAS, and direct equipment monitoring - and where each fits
- What AI can (and can’t) do when it comes to maintaining HVAC systems
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