AI isn’t slowing down because of weak models or poor prompts—it’s being held back by something far less flashy: data privacy. In this episode, Kristina sits down with Adam Kamor of Tonic.ai to unpack why organizations are struggling to safely use their own data, how unstructured data creates massive operational friction, and what it actually takes to move from manual redaction to scalable, privacy-first AI systems. The conversation challenges the idea that privacy is just a compliance checkbox—and reframes it as the key to unlocking AI velocity.