Podcast
Pattern Recognized
A podcast about AI literacy, adoption, and the gap between what organizations think AI does and what it actually does.
Audio only. No fluff. New episodes weekly.
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Season 1 | 2026
E4: The Five Mistakes Organizations Make in Week One
AI adoption can go sideways before anyone realizes it. This episode breaks down five predictable mistakes organizations make early: tool excitement without a plan, one-hour training that never becomes practice, accidental AI departments of one, missing policies, and measuring the wrong things too soon.
E3: The Crawl-Walk-Run Framework for AI Adoption
AI only becomes useful when people know how to direct it, question it, and connect it to real work. This episode explores the human layer: the judgment, context, domain knowledge, and decision-making that determine whether AI becomes a gimmick, a risk, or a meaningful advantage.
E2: Shadow AI, Why Your Teams Are Already Using AI Before You Know
Shadow AI is already happening in your organization. Your teams are using AI tools before any policy exists, before any training happens, and before leadership knows about it. This episode covers what that actually means and why your first instinct about it is probably wrong.
E1: What AI Actually Is
AI is not magic, consciousness, or a robot waiting to take your job. In this episode, we break down what today's AI tools actually are, how large language models work in plain language, and why human judgment is still the most important part of using them well.
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