How do you think about this, Paulo, when we're thinking about those bigger impacts?

I think with the industry a- as a whole, there is a common theme of efficiency.

And then I guess a, a common example from our organization at Y Prime is the introduction of, um, an AI-backed and powered migration process.

So we actually found that it ...

From, from our perspective, the ability to introduce efficiency through faster approvals, through cleaner data, more inclusive, the conducting of trials in general, is part of how we define that concept.

So having the ability in, in our case, to reduce the number of, um, screen reports, um, containing errors, just a better quality screen reports, uh, or reduction in human-led migration errors for the localization process, it really had the ability to shorten our entire review process by over 60%.

So there were actually, in addition to that, no additional error types introduced as part of that review.

Paulo, what are your thoughts?