00:00 Speaker A
You know what I love about that is there’s always this debate is AI going to take humanity away from us and you literally are just saying, if you haven’t lived
00:08 Speaker A
an experience, lived an industry, you’re probably not going to be the best use case for AI.
00:13 Speaker B
Yeah. No, I agree. And I think AI is going to change
00:16 Speaker B
every aspect at least of knowledge work, right? So I think like white collar workers should really jump on AI, adopt AI now because AI is not going to take their job, but somebody using AI will take their job.
00:27 Speaker A
every day I think in the news we hear about um copycat AI, you know, deep fakes and you all are such
00:35 Speaker A
a legitimate company as we heard with 30,000 years of data. I mean, how how do how do folk folks sort through that?
00:41 Speaker B
Yeah, I think it’s a real problem right now, right? Because there’s so much noise in the market and so many like new companies popping up every like day or so. But I really think if you’re
00:51 Speaker B
like if you’re a business owner, right, you don’t want to just trust
00:54 Speaker B
with your data and with your business success, like is somebody random that just pops up and says like, yeah, I can do that too. So I would be really careful as a business owner to evaluate like, who am I buying AI from? How long have they been around? Have they been doing this with other customers in my segment, right? Because there’s a lot of noise also like you can do everything with like opening AI or drop like, you cannot. They’re not trained on in my case, they’re not trained on construction data. So I think
01:13 Speaker B
business owners in all industries should be really clear about like buying vertical specific AI from companies who have done this for a while.
01:17 Speaker A
That’s a really important advice.
01:19 Speaker A
So our big idea question is how do I streamline an industry through AI. So let’s say they have lived in this industry. They lived, they breathed that. What would be that first step then to think about how to evolve?
01:29 Speaker B
I think they should really start with one workflow, right? Like people always like, it’s unfair for anybody listening to us right now. We’ve raised $70 million, right? Like that’s a lot of money. I have over 100 employees, right.
01:36 Speaker A
Oh lord, I have to just say, well done. I know how hard that is, especially for women. Oh my Lord, 70 million.
01:44 Speaker A
Woo. Are you okay?
01:45 Speaker B
I’m recovering. Um, so, but don’t be scared of that, right. We didn’t start like that. We picked one specific workflow.
01:52 Speaker A
You never heard no either.
01:53 Speaker B
Oh, we heard a lot of nos, a lot of nos, but I just don’t take nos.
01:56 Speaker A
I say that because I want people to know to I I’m I’m sorry to digress, but I want people to know you are going to hear no a lot and it’s okay. So to get to 70 million, you probably have Yeah, okay, keep going. Sorry I interrupted.
2:05 Speaker B
No, I actually love that because again, people look at my resume or at our company, right? It’s like, oh, it’s always up into the right. It’s not, right? But like your job is to when it’s not up into the right, to find a way to turn it back up into the right. And so
2:16 Speaker B
how to start, pick one workflow that is highly repetitive, that you really deeply understand where you think most of the other people don’t deeply understand and and start building AI for that and then take it from there.
