Why Problem-First Thinking Wins Every Time

Key Takeaways

conversationally I voice AI was needed. Right, we needed to have these calls and interact with the patient to fill that gap. And early on it was very difficult. There was no evaluation suites and a hundred times less tooling that was available back then. So, it was very difficult process to get live. And that being said, the the first customer we're working with is also large enterprise customer. So, we can't just ship a little tiny beta MVP that's going to not be able to converse properly with patients. It needs to be airtight. So, that was very much a long process, um very difficult process in terms of when you compare to now. There was no understanding of AI. People now go on LinkedIn every day and see healthcare AI, AI's doing this, AI's doing that. Two years ago, you had to just almost explain what AI is before you even started the conversation on what you're going to do. So, yeah, I mean I can definitely go in on what that took, but um yeah. We just looked at the problem, broke the problem down. Voice AI fit the need that we we required in order to fill that solution and kind of develop from there. I love it. I think and that's a good lesson for, you know, an aspiring entrepreneur in the audience to just really focus on the problem. You know, I remember even back when when I was getting my MBA, this was the lesson that stayed for the entire two-year course. We had a capstone course and then the focus one was on market validation. The focus was on My professor had written this book, "If You Build It, They Would Come." Obviously. So, it was really cool. They drove that point and even after knowing that, sometimes I find myself getting super excited about some technology and be like, "We got to somehow use this. We got to somehow use that." But, the lesson for everybody is that just really focus on the problem.