When Justin Wright describes his path to Maven AGI, it doesn’t sound like the résumé of a typical enterprise solutions engineer. He studied chemistry and math, spent time in an atmospheric research lab writing custom code for experiments, and even carved out a career as a professional athlete before returning to tech.
“Any athlete can only be an athlete for so many years,” he says. “I wanted to get back to something mentally stimulating, a place where I could challenge myself and be surrounded by high-level teammates. For me, startups feel like a high-performing athletic team. You’re wearing a lot of hats, solving problems no one’s solved before. It’s the same environment, just in a different domain.”
That mindset led him to Maven AGI, where he became one of the company’s earliest solution engineers. Today, as a founding member of the solutions team, Wright helps enterprises adopt Maven’s vision of what the company calls Business AGI, an autonomous system that can reason across business tools and generate meaningful outcomes.
Unlocking the “Wow Moment”
Enterprise AI platforms often market efficiency, via lower costs, faster ticket resolution, and fewer agents. Maven takes a different tack.
“Our founders had all lived this problem in their past roles,” Wright explains. “Maven AGI CEO, Jonathan Corbin, who ran global customer success at HubSpot, knew it wasn’t about just answering tickets. The real challenge is retention, expansion, and helping customers actually get value out of the product.”
At HubSpot, Corbin identified a “wow moment”: when a customer set up their first marketing campaign, adoption and long-term engagement soared. Wright says Maven’s mission is to help enterprises identify those same moments in their own products and nudge customers toward them.
“Support is a great entry point,” he adds. “But what we’re really doing is helping companies guide their customers toward actions that unlock lasting value.”
Enterprise Trust, Built from Day One
Of course, building AI for large enterprises means overcoming a mountain of skepticism. Flashy demos might wow investors, but they don’t satisfy compliance officers or CTOs.
“Anybody can spin up a demo chatbot that looks cool,” Wright says. “But the underlying architecture becomes critical at scale.”
Maven was built with compliance and security in mind from its first line of code. The platform runs in siloed, virtual private clouds, ensuring no data crosses customer boundaries. It holds SOC 2 and ISO 27001 certifications, encrypts data in motion and at rest, and offers customers a full “paper trail” of every API call, source, and response.
“That transparency is key,” Wright says. “Our customers can see exactly where information came from and how an answer was generated. That’s why highly compliant industries are willing to trust us with their workloads.”
Humans and Machines, Together
Maven’s numbers are impressive: its AI agents resolve up to 93% of customer inquiries autonomously. But Wright stresses that the company isn’t trying to replace people.
“In the 70–80% range, you can answer most questions with documentation and integrations,” he says. “But the last stretch, those highly specialized, deeply technical, or emotional questions, that’s where humans shine.”
Rather than chasing perfection, Maven focuses on freeing up human agents for those moments. Agent-assist tools consolidate data from across systems, allowing people to do what Wright calls “uniquely human work: deep thought, nuanced reasoning, emotional intelligence.”
The Business AGI North Star
Maven’s name ends with three bold letters: AGI. For Wright, that’s intentional.
“It’s aspirational, our North Star,” he says. “Maybe true artificial general intelligence is never achievable. But business AGI, the ability to autonomously reason across your business systems to deliver outcomes, that’s within reach.”
He envisions a future where a business leader can simply say: “I want 100 high-quality leads next month.” Maven’s agents could orchestrate across marketing campaigns, acquisition funnels, and customer success workflows to deliver that result.
“Support and upselling are great,” he says. “But the bigger goal is to unify all of those systems into a true AI assistant that helps customers grow and scale their businesses.”
