“Did We Already Decide This?” How AI Is Changing Business Memory | a Reflect Podcast by Ed Fassio

Every organization believes it remembers what it decided. Most don’t.

In this episode of Reflect, Ed Fassio explores a quiet but costly problem hiding inside modern work… the slow erosion of organizational memory. Meetings happen. Chats fill up. Decisions are made, or at least assumed. Weeks later, teams circle back to the same questions, not because people weren’t paying attention, but because the systems we rely on were never designed to think, only to record.

This conversation unpacks a deceptively simple question with far-reaching implications: Is the future of AI about productivity, or understanding?

Using real-world examples and plain language, Ed walks through how today’s leading enterprise AI tools, including Microsoft Copilot, ChatGPT, and Google Gemini, differ not by intelligence alone, but by how and where they are designed to operate. He explains why “same model” does not mean “same value,” how security and data governance actually work behind the scenes, and why confusion often says more about organizational hygiene than it does about the technology itself.

At its core, this episode is about memory, accountability, and clarity. Not replacing people with AI, but giving organizations the ability to remember themselves clearly, and finally move forward without losing context along the way.

If you’ve ever found yourself asking, “Did we already decide this?”, this episode is for you.

About Ed Fassio

Ed Fassio is a business and technology transformation leader, writer, and educator focused on the practical and human implications of artificial intelligence. He teaches AI business transformation, advises enterprises on responsible AI adoption, and works at the intersection of emerging technology, organizational design, and decision-making. Ed is the creator and host of the Reflect series, where he explores how technology reshapes work, identity, and human systems, and he regularly collaborates with global consulting firms, commercial enterprise organizations, and academic institutions to translate complex AI concepts into actionable strategies.