“AI will just get you to the wrong answer faster—if your data isn’t right.”In this episode of Reliability 4.0, Brian Heinsiusfrom Eco Materials shares how they’re building a reliability program from the ground up—starting with data, systems, and remote monitoring across new sites. From setting up Maximo and asset hierarchies to deploying sensors and dashboards, Brian walks through what it takes to create a scalable reliability foundation before layering on advanced analytics.

We dig into:

🔹Why building a clean, accurate data foundation comes before AI

🔹How remote monitoring enables small teams to manage multiple sites

🔹How AI can help analyze data—but still requires careful validation

🔹Why starting with simple RCA (like 5 Whys) is often enough early on

🔹How to use condition-based signals to trigger maintenance actions

If you’re trying to scale reliability across sites—or exploring AI in maintenance—this episode is a practical look at what to build first.

This episode is available on:

📺 YouTube

🎧 Apple Music

Or wherever you get your podcasts!

Want to strengthen your RCA foundation? 👉 https://easyrca.com/engage

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