In this episode, we break down why most AI projects fail, not because of the technology, but because of how they are managed. Larissa Schneider, Co-Founder and COO of Unframe, shares that the real gap is not in the models, but in execution. Many companies jump into AI without clearly defining the business problem they want to solve. Strategy decks look good, but when it comes to operations, projects stall. If there is no clear goal, no defined ROI, and no trust in deployment, AI will not deliver real value.

We also talk about what actually works in enterprise AI. Start with the problem, not the tool. Measure outcomes. Focus on workflows that are broken, manual, or slow. The companies that succeed are not the ones chasing every new AI product, but the ones building systems that fit their business, their people, and their existing tech stack. There is also a strong reminder that AI is not just about automation. It requires alignment between IT and business teams, clear governance, and people who understand how to use it effectively.

This conversation is a reality check for leaders. AI is not magic. It is a tool that only works when paired with clear direction, strong execution, and trust. The companies that treat AI as a business solution, not just a trend, are the ones that will move from idea to real impact.

Tune in and learn what it really takes to deploy AI in the enterprise and get results that matter.