G2

Taylor M.

Director of Facility Operations

Facilities Services

Mid-Market (51-1000 emp.)

8/25/2026

"Providing a Window into AI Ops for a Facilities Management Guy"

5/5

What do you like best about Arize AX?

Honestly, I approached Arize AX with a lot of skepticism because I’m not a data scientist. I’m a facilities operations guy. But what I appreciate most is that the platform gives me a tangible way to understand where our new AI concierge and predictive maintenance tools are messing up. We’ve rolled out a couple of AI agents to handle service requests and help our techs diagnose HVAC and lighting issues. In our world, a wrong answer can mean a building gets too hot or a tenant is frustrated, and we need to know exactly when and why the AI is failing. Review collected by and hosted on G2.com.

What do you dislike about Arize AX?

The onboarding took a little longer than I expected. I think the product is robust, but for a person like me who just wants to see if the agent is doing its job, there is a lot of signal to process. When we first started, I was a bit overwhelmed by the sheer amount of data points and options for evaluation. My engineering team was able to help set up the main dashboards, but if I were trying to configure this entirely on my own, I would have been lost for a few weeks. Review collected by and hosted on G2.com.

What problems is Arize AX solving and how is that benefiting you?

The biggest problem is visibility and trust. Before Arize, we were essentially deploying AI agents and hoping they worked. We had no real way of knowing if they were giving bad advice until a technician complained or a tenant called back, which meant we were already behind. We couldn’t measure improvement or regression. Arize allows us to continuously evaluate the quality of our AI responses in production. Instead of just monitoring server speeds, we’re actually looking at if the agent provided the correct part number or the right diagnostic step. Review collected by and hosted on G2.com.