How Level AI Targets Enterprise Buyers Without Getting Lost in Feature Wars

When every AI vendor claims to have the latest generative capabilities, how do you differentiate in enterprise sales? In a recent episode of Category Visionaries, Level AI founder Ashish Nagar revealed their contrarian approach: ignore the feature arms race entirely.

The Problem with Feature Wars “The Twitter noise doesn’t really impact them,” Ashish explains about enterprise buyers. “What impacts them is, again, like, can you solve my problem for which I have $100,000 budget any better than anybody else.” This insight shaped Level AI’s entire sales approach.

Meeting Customers Where They Are Rather than pushing cutting-edge AI features, Level AI focuses on practical challenges. As Ashish notes: “Often customers don’t even know the difference between the two. And I’m not saying because they are ill informed, it’s just because it’s not their job.” This understanding helps them have more productive sales conversations.

The Infrastructure Reality Check Level AI discovered that “more than 75% of all contact centers are run on premise systems… they are not on cloud.” This insight led them to focus on solutions that work within existing infrastructure constraints rather than requiring complete system overhauls.

Following the Customer’s Lead Even their approach to analyst relations is customer-driven. “When our customers told us like, hey, we check out Gartner about these things, they were like, sure, if you check out Gartner, then we are in Gartner.” This flexibility extends to their entire go-to-market strategy.

Focus on Enduring Problems Instead of chasing technology trends, Level AI anchors their sales conversations in unchanging customer needs. As Ashish explains: “Ask yourself in your particular space what will not change in the next ten years.” This principle helps them maintain focus on delivering lasting value.

The Results This customer-centric approach has helped Level AI win in competitive enterprise deals. “We are closely working with Forrester and Gartner both to learn from them,” Ashish notes, demonstrating how their customer-led strategy extends to all aspects of their go-to-market.

Looking Ahead Their vision remains focused on practical impact rather than technological wizardry. “If we look back in five years, we would have influenced, hopefully, a few million lives and made them happier, more productive, and more fulfilling with our technology.”

For B2B founders selling into enterprises, Level AI’s approach offers a valuable lesson: success comes not from having the most features or the latest technology, but from deeply understanding and solving customer problems within their existing constraints.