What's running inside your company that IT doesn't know exists? Mayra and CP explore why unsanctioned apps and tools that facilitate workarounds spread. People use them when sanctioned tools are too slow or too rigid for real work, not out of defiance. They also cover what happens when AI starts connecting to those hidden tools. You'll leave able to name at least one unsanctioned tool your own team depends on. Shadow IT isn't rebellion. It's a symptom of sanctioned tools failing to keep up.

What happens when an organization automates decisions on top of data nobody has verified in years? Your AI problem may really be a data problem in disguise. Mayra and CP open the countdown with the most common landmine of all: dirty, duplicated, and siloed data that quietly poisons every AI initiative built on top of it. They look at who absorbs the cost, like the analyst re-checking numbers and the manager who no longer trusts the dashboard. They also ask why leaders who suspect the data is bad rarely budget to fix it first. The takeaway: AI doesn't eliminate technology landmines. It exposes them.

The future of work is often discussed as though it is still on the horizon. It isn't. AI, automation, and intelligent systems are already changing how organizations operate, how decisions are made, how teams collaborate, and how products are designed. The real challenge is no longer whether AI will transform work. The challenge is how leaders, founders, and business owners choose to navigate the transformation. In this episode, Mayra and CP explore the operating realities facing startups and small-to-medium businesses, along with the opportunities, risks, and responsibilities that come with building organizations in the age of AI.