Artificial intelligence is shaping up to be one of the most transformative technological advancements of the 21st century. Go Slow to Grow Fast Host Heath Butler is joined by executives from 3 vertical AI SaaS companies— Matt Robillard of SmartAC, Collin Mclelland of Digital Wildcatters, and Jeremy Gottlieb of Veritec AI— to break down what’s real, what’s hype, and what’s next for the future of AI in the startup world. Whether you’re looking to integrate AI into your business, build an AI first product to take to market, or just trying to keep up with the rapid advancements, this conversation is one you won’t want to miss. This episode is part of the Software Day at the Ion series.
Timecoded Guide:
- [00:00] Podcast begins
- [01:26] Why AI? 3 AI SaaS companies weigh in on tech & data opportunities
- [08:05] Internal & External Leveraging: AI usage from hiring to workflows to system building
- [11:05] Beyond the Hype? Delivering next level customer value during the AI boom
- [23:26] Small Teams, Big Dreams: How do you build a $100M business with 5 employees?
- [29:41] Personal AI Usage: Everyday tasks made easier at work & home
- [33:47] Audience Q&A: AI-first approach, hiring talented teams, & marketing unique models
Key Takeaways:
Building AI-First Companies: “I think if you’re an AI native company, you have the wonderful opportunity of thinking from first principles,” Matt Robillard explains, citing that SmartAC progresses with their AI technology so as to not be hindered by pre-existing workflows. “It’s about really leaning into what this could be.”
Beyond the Hype? “I think the cost curve is coming down dramatically, and for companies like ours, it’s incredibly beneficial,” Jeremy Gottlieb says, diving into how Veritec AI will change the game in the litigation space. “This gives us an opportunity to come in and compete with our larger competitors.”
Big Businesses, Small Teams! “I don’t think I need a team of 50 engineers anymore,” Collin Mclelland admits, explaining that Digital Wildcatters is focused on using AI at every level of their business to build efficient teams, products and systems. “It’s important to hire technical people that understand the [AI] business as well.”
