The Five Percent Club: The Culture and Technological Shift Behind Successful AI Deployments

95% of AI projects fail. And according to MIT (https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf), the vast majority of AI initiatives never even make it past the prototype stage. In 2026, the problem isn’t a lack of models or ideas (builders have plenty, after all)—it’s a fundamental misunderstanding of what AI is for. We’ve all seen the billboards promising that AI will magically evaporate the most complex business problems or seamlessly abstract away entire workforces. It’s a high-priced fantasy. Many organizations treat AI as a "magic pill"—a way to bypass the difficult, manual work of evaluating how technology actually supports business growth. They invest in brittle, fragmented stacks of point solutions, chasing automation hype without ever defining a purpose. The result? A graveyard of expensive prototypes that can’t scale, can’t adapt, and eventually, just stop working. In this session, Tara Hernandez (VP of Developer Productivity, MongoDB) talks about her work ensuring that MongoDB becomes part of the “5% Club”: the group of organizations who have been able to successfully leverage AI to advance their business. What if the technical stack behind the AI is an implementation detail within a much larger, requisite culture shift? We’ll explore why successful AI deployment requires identifying a core business purpose before touching a single line of code, and staying aligned with your business goal as your AI scales. Tara will share how the 5% club align their culture and goals first, and then build a unified data foundation that supports continuous adaptation. You’ll learn why the most critical technical puzzle pieces—retrieval quality, scalability, and grounded context—are the final, critical steps in an AI deployment journey that begins with "why," not "how".