Papaya AI - things coming together

Key Takeaways

If you listen to the way that they discuss that, right? They talk about a very flowy, streaming, always on, always moving, sort of continuous and fluid experience, right? And I And I believe I I just wrote about this in a four-part series about how I think that we are at a point where now we need talent fluidity, we need liquidity, right? We need to be able to move money quickly. We need to be able to not have it sitting in in in float accounts forever. Uh we need People need to be paid on demand. Uh we need to employ on demand. We need to find skills on demand. All of it is becoming very much needing to be streaming on on all the time where we can sort of dip our cups in the in in the river, if you will, of what you need. Whether that's data, whether that's talent, and whether that that means bringing all of that together to get that talent and pay that talent and activate it, right? So, what I think is really cool here is is that in addition to sort of showing their their their their workforce operating system, Papaya demonstrated how their agents their various agents are working together. Not just working to do certain use cases, but working together to flow all of this out in a very autonomous way, uh a very orchestrated way, right? They They fundamentally have demonstrated orchestration that we have been sort of craving that a lot of folks are still kind of talking about, but not really demonstrating. So, I thought we could uh I know Ryan, our our wizard behind the curtain, has been begging me for more visuals. I thought, "Hey, let's show this." And I thought you and I could opine on this a little bit, and I could give you some context as to what Papaya's doing, how their clients are digesting it, and what you think about it from that perspective, if that's if that's cool. Now again, we all as we always say, we're in no way endorsing any product. We're just trying to show you what's out there and help you help you think about uh what it might mean for your operation. >> And I think amazingly, like this is something that is that many folks are thinking about as well. And maybe there are other examples of it out there. So, um but it's a Let's Let's show and tell a little bit and see, you know, what it is that caught your eye and how we link that to the words orchestration, right? >> Let's do this. Let's see if I can give you this window here, all right? I want to get your thoughts. >> Imagine a world where work doesn't wait, where it simply flows. You describe what you need, a back-end engineer for your LatAm operations. That's it. The system listens, understands, reflects back what it heard. A few quick clarifications. Should this be continuous or time-bound? Now watch, compliance resolves automatically, jurisdictions analyzed, structures applied, no forms. How should value flow? Continuously. Finding verified talent streams, not candidates, not resumes, live capacity ready to activate. Everything resolved, ready to stream. Activate. Work stream activated, no setup, no delays. Watch closely, a new talent stream appears, verified, ready. And just like that, work starts. Now watch what happens next. The moment work begins, payment begins. You're paying an individual anywhere in the world in their currency without friction. Instantly. And here's the proof. Capital moves right now from your account through the system directly to the worker. This isn't payroll, this is flow. Work turned into money instantly. This is how it should feel. >> All right. Now, you saw the eye