AI adoption doesn’t fail because the tools aren’t powerful—it fails because organizations don’t treat AI like a system.

Drew Veach (BizStream) and Pete Terryn (NuWave) sit down with Taryn Kutches, co-founder of Joyn Collective, to unpack what “systems thinking” actually looks like in the real world: aligning people, process, and data, mapping your current state vs. future state, and building a now/near/next roadmap that teams can follow.

They also dig into the most overlooked part of AI transformation: behavior change. From balancing “business architecture” with “behavioral architecture” to reframing AI from “efficiency” to “new value,” this conversation is a practical guide for leaders who know they need to do something with AI—but aren’t sure where to start.

Chapters
(00:00) Systems Thinking in AI: People, Process & Data
(01:36) Meet Taryn Kutches + The Joyn Collective Origin Story
(02:42) Mechanical Engineering → Why Systems Thinking Matters
(06:23) What “Systems Thinking” Actually Looks Like in Organizations
(08:39) Mapping Current State → Future State → Now/Near/Next Roadmap
(11:20) AI Is Just the Tool — Don’t Start With Implementation
(12:43) Business Architecture vs. Behavioral Architecture
(16:23) Fear, Leadership Vulnerability & AI Adoption
(21:08) “The Future Is Collective” — Why Transformation Takes Partners
(24:07) Why Behavior Change Is Harder Than Technology
(30:06) From Efficiency to New Value — Reframing AI’s Purpose
(36:00) The Future of AI: More Human Work, Not Less