AI adoption doesn’t fail because employees refuse to use AI. More often, it fails because everyone is already using it differently. In this episode of The LowCode Podcast, we explore how companies can turn scattered AI experimentation into a structured capability that actually lasts. Using MERA Corporation’s work with Phos AI Labs as a real-world example, we break down what it takes to move from individual tools and informal workflows to an enterprise-wide approach with clear governance, security, and ownership.

At MERA, more than three-quarters of the workforce was already using AI, but there was no unified platform, formal governance, or consistent training around data security. The solution wasn’t simply introducing more AI tools. The initiative created Nexus, a private AI workspace, established operational policies across five countries, and brought employees into hands-on workshops where they applied AI to real business challenges, from financial analysis to menu optimization.

That’s the bigger lesson of this episode: sustainable AI adoption requires more than a successful pilot. Companies need systems, standards, training, and internal leaders who can keep the momentum going after external experts leave.If your team is already experimenting with AI but you’re wondering how to make it secure, consistent, and sustainable at scale, this episode is for you.