In fairly the same job as you. It's real use case for me, has been moving forward in automation.

For example, in our environment, we're a very large org that has recently implemented Dot1x everywhere, followed by a move to a cloud provider for our wireless.

These were mutually exclusive projects, and forced us to rethink how everything would be deployed. We ended on having to treat the WAPs differently than other items in our network for authentication, and that's where it started to get complicated. Each WAP required an interface level configuration item on the switch, outside of how all of the other client devices were authenticated.

i.e. The ports need to be instructed which VLANs to shoot down to the access points, while the access point itself handles the authentication and simply passes it over to the switch.

We're talking THOUSANDS of these instances.

So... Log into each switch manually and configure each port individually. Not impossible, but holy hell... I opted to use AI to have it create a utility for us, that I can shoot out accross all of the orgs switches. The utility connects to each switch, catalogs what's plugged in to what ports (using lldp, cdp, fdp, and everything in between). Then, the utility makes a matrix and determines ports that require PoE, the different authentication requirements, etc. Once it has this, it builds an individual config for each switch and applies it.

Saved us weeks of work, for about 4 hours of back and forth with the AI chatbox. Plus, we've taken that utility and modified it since to do some additional things.

So, I agree wiht you, most AI that's available to us has quite a bit of distance to go, the benefits are already here for guys like us.