AI is already automating real work: drafting marketing copy, finding patterns in financial data, and generating medical notes from patient conversations. These tools are early but accelerating fast across organizations.
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AI has multiple applications. So from a corporate perspective, when we're writing copy for marketing or other manuals and things like that, we use. We can use it. We now have a financial planning and analytics group. They can use AI to kind of evaluate different sets of numbers to find correlations. You want to run certain programs. What's the impact of those type of things? The most interesting aspect of AI is actually at the practice level. So when you walk into an exam room today, you can click a button on your phone or an iPad or whatever, and you can have the entire conversation recorded. It will take out the stuff about the soccer game on Sunday with the kids and that type of thing, but it will take all the medical notes and it will write those notes into the system. The other place AI is important, if you have a bunch of people coming in or requesting scripts and things like that, that summary of what is being requested can be summarized for the doctor and make their job. Instead of having to go through the notes and everything like that, you can tell, hey, they're requesting heartworm medication. They had a heartworm test in the last 12 months. Have they visited us in the last 12 months, which is a requirement of issuing, you know, the script for that. So these types of things, there's huge benefit yet to come. But it's. It's like we're just starting down that curve and it's going to be pretty, pretty dramatic in terms of the impact.
