The 95% Problem: Fixing What’s Broken in Enterprise AI | 116

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In this episode of Sidecar Sync, Amith Nagarajan and Mallory Mejias dig into the startling findings of a recent MIT study: 95% of enterprise AI initiatives are failing to deliver measurable impact. Why are so many organizations investing in AI only to watch their efforts fizzle? Mallory and Amith unpack 10 core reasons for these failures—ranging from building chat-first features instead of end-to-end workflows, to skipping the unglamorous data cleanup that powers real results. Drawing from Vishwas Lele’s insightful LinkedIn post and their own experiences in the association world, the duo shares practical guidance for leaders ready to move beyond flashy demos and into lasting value. Plus, they explore why your staff still prefer ChatGPT over that expensive new AMS add-on, and what associations can do to shift from AI experiments to real transformation.

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ChatGPT ➔ https://chat.openai.com
Claude ➔ https://claude.ai
pWin.ai ➔ https://www.pwin.ai

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Amith Nagarajan is the Chairman of Blue Cypress, a family of purpose-driven companies and proud practitioners of Conscious Capitalism. The Blue Cypress companies focus on helping associations, non-profits, and other purpose-driven organizations achieve long-term success. Amith is also an active early-stage investor in B2B SaaS companies. He’s had the good fortune of nearly three decades of success as an entrepreneur and enjoys helping others in their journey.

https://linkedin.com/amithnagarajan

Mallory Mejias is passionate about creating opportunities for association professionals to learn, grow, and better serve their members using artificial intelligence. She enjoys blending creativity and innovation to produce fresh, meaningful content for the association space. Mallory co-hosts and produces the Sidecar Sync podcast, where she delves into the latest trends in AI and technology, translating them into actionable insights.

https://linkedin.com/mallorymejias