JumpCloud Innovation, Technology & Agility

What is the unique story that you feel your company has with AI? If you were writing about it, what would the title of your blog be?
JumpCloud’s unique AI story starts with the reality that we work in a complex, multifaceted domain — managing identities, devices, access, LDAP, RADIUS, SaaS tools and more. AI became a key tool not for doing the same work with fewer people, but for enabling the same team to do ten times more without being overwhelmed. It helps us make sense of large, interconnected systems quickly, contribute to unfamiliar projects and turn ideas into working solutions faster. A fitting title might be “Amplifying Impact: Using AI to Thrive in Complexity at JumpCloud.”

What was a monumental moment for your team when it comes to your work with AI?
One monumental moment was when we started using AI primarily for code editing. It immediately made mundane tasks like formatting, refactoring and writing boilerplate code faster, easier and more reliable — freeing us up to focus on the harder problems. Another key moment was during new hire intakes: AI’s ability to parse and analyze thousands of lines of code helped new engineers onboard more efficiently. And since documentation can quickly become outdated, using AI to generate up-to-date diagrams and flow visuals, then reviewing and signing off as a team, became a game changer. These use cases showed real, practical value — AI combined with human judgment made us significantly faster and more effective.

What challenges did your team overcome in AI adoption? 

Initially, integrating AI felt overwhelming — many on the team, especially senior engineers, were skeptical about its real-world value. Others, often juniors, expected it to do everything from debugging to writing entire modules. We focused on tools like GitHub Copilot to bridge the gap and demonstrate how AI can assist, not replace. Prompting became a core skill — figuring out how to ask the right questions to get meaningful, usable help. Over time, this built trust and practical understanding.

A big part of this shift came from having a general #gen-ai Slack channel. People shared everything — from Studio Ghibli-style AI photos to real stories of how AI made their work easier or more efficient. It sparked creativity and inspired others to try new workflows. Now, AI adoption is companywide, and we’re even hosting AI-focused hackathons across teams.