Advertise on podcast: AI Lab Unfiltered

In this episode of AI Lab Unfiltered, Drew Veach (BizStream) and Pete Terryn (NuWave Technology Partners) sit down with Marcel Meijer and Stacy Paul from Array of Engineers to dig into what it actually takes to drive AI adoption inside a company — including one that operates in some of the most regulated environments on the planet. If your team is still "talking about AI" but not doing anything about it, this episode will light a fire.

Is OpenClaw actually the right AI agent tool for your business—or is there a smarter option?In this episode of AI Lab Unfiltered, Drew Veach (BizStream) and Pete Terryn (NuWave Technology Partners) go head-to-head comparing OpenClaw vs Co-work. They break down agentic workflows, real-world performance, token usage, and the setup decisions that actually matter when deploying AI agents in a business environment.If you've been wondering whether OpenClaw is worth it—this is the honest breakdown you won't find in the marketing.

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

What if AI isn’t about replacing people… but restoring them? In this episode of AI Lab Unfiltered, Drew Veach (BizStream) and Pete Terryn (NuWave) sit down with Josh Ross, founder of Scalable AI, to explore how AI is transforming real businesses — not with flashy avatars or hype, but by eliminating the soul-crushing, repetitive work that keeps talented people stuck. From invoice anomaly detection to automating RFQ routing in manufacturing, Josh shares practical, boots-on-the-ground AI implementations that are saving companies time, increasing margins, and giving employees their strategic thinking back. You’ll hear how: A $20M business owner reclaimed 8-hour workdays from manual invoice reviewAI is filtering RFQs and boosting profitability in manufacturingCompanies are preserving “tribal knowledge” before senior employees retireInternal AI chatbots are becoming the “brain” of modern businessesDevelopment teams are using tools like Claude and AI agents to multiply outputThis isn’t about replacing jobs. It’s about removing the robotic parts of work — so humans can do what they’re actually good at. If you’ve ever thought, “There has to be a better way to do this,” this episode is for you. Chapters (00:00:07) Welcome to AI Lab Unfiltered + ThinkTank Shoutout (00:02:00) Josh Ross and the Origin of Scalable AI (00:03:00) The 20-Year-Old Who Told a $20M Founder “There’s a Better Way” (00:04:30) Invoice Review Automation: AI as an Anomaly Filter (00:08:30) Accounts Payable Automation & Human-in-the-Loop Governance (00:14:00) “Make People Human Again” – Eliminating Robotic Work (00:17:00) RFQ Routing in Manufacturing: Filtering for Profitability (00:19:00) Engineering Time Is Gold: Let AI Handle the First Pass (00:22:00) Preserving Tribal Knowledge Before It Retires (00:23:30) The AI Brain for Your Business: Internal Chatbots & BizBot (00:28:30) From Snowblower Manuals to AI-Powered Document Search (00:32:00) From Custom Builds to Scalable AI SaaS (00:35:00) How Much Code Is AI Actually Writing? (Claude, Agents & Skills) (00:41:00) Will AI Replace Developers? Or Elevate Them? (00:43:00) Stop Chasing Shiny AI — Solve Real Problems First

In this episode of AI Lab Unfiltered, Drew Beach (BizStream) and Pete Terran (New Wave) dig into the fast-evolving world of AI-powered devices—smart glasses, recording pendants, and the “always-on” assistants that are starting to feel normal. They talk through the real questions people are bumping into: etiquette and consent, security and privacy, and whether these tools amplify your attention—or quietly replace your critical thinking. From networking use-cases (remembering names, capturing conversations) to everyday life (finding your keys, navigating a city, even making healthier choices), they explore what’s already possible today—and what’s coming next as wearables get more personalized, more proactive, and yes… more ad-supported. By the end, they land on a simple challenge: the tech is here—so what rules do we need before it’s everywhere?  Chapters(00:00) Intro + ThinkTank Shoutout(01:40) Why We’re Talking About AI Wearables(02:53) Privacy, Consent & “Always-On” Recording(04:43) Real-World Test: Using an AI Pendant in NYC(07:12) Networking Superpowers (Names, Memory & Follow-Up)(09:22) Heads-Up Displays & AR Navigation(10:46) Visual Memory: Finding Keys, Ketchup & Context(12:49) Facial Recognition & AI-Driven Human Connections(17:18) AI as a Behavioral Coach (Food, Fitness & Habits)(20:16) AI vs Medication: Behavior Modification Debate(25:44) Hyper-Personalization vs Advertising Overload(32:34) Final Thoughts: Buying the Glasses & What’s Next

In this episode of AI Lab Unfiltered, hosts Drew Veach and Pete Terryn unpack the real implications of agentic AI: systems that browse the web, make decisions, execute tasks, and continuously improve without constant human input. They discuss real-world use cases, emerging risks, guardrails businesses must consider, and why agentic AI could fundamentally change how software, teams, and workflows operate. If you’re curious about where AI is heading next—and how close we are to autonomous digital assistants—this conversation is essential listening. Chapters:(00:00) What Is Agentic AI and Why It Matters (03:12) From Chatbots to Autonomous AI Agents (07:45) Real Examples of AI Acting on Your Behalf (12:30) When AI Spends Money Without Permission (18:10) Human-in-the-Loop vs Full Autonomy (23:40) Business Use Cases for AI Agents Today (29:15) Why Guardrails and Policies Matter (34:50) AI Agents vs Traditional Software Tools (41:05) The Future of Agentic AI in Everyday Life (47:30) Final Thoughts: Where This Is All Heading 👉 Watch more episodes to keep up with what’s next in AI.

AI can generate answers instantly—but speed doesn’t guarantee accuracy or good judgment. In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn explore why trusting AI too quickly can create hidden risks. They discuss how confidence in AI outputs can be misleading, why context matters more than ever, and what responsibility leaders still carry when using AI to inform decisions. This conversation is for anyone using AI to think, decide, or lead—and wants to avoid mistaking answers for understanding. Episode Chapters: (0:00) AI answers vs. real understanding(0:06) Why confidence doesn’t equal correctness(0:12) The danger of context-free answers(0:18) When AI replaces judgment(0:24) Leadership responsibility in AI use(0:30) Using AI without losing accountability(0:36) Final takeaways on trust and technology👉 Listen to more episodes of AI Lab Unfiltered to keep learning.

AI is now embedded in how we work—but that doesn’t mean it’s being used intentionally. In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn explore how widespread AI adoption is changing decision-making, leadership, and responsibility. They unpack where AI truly adds value, where it quietly creates risk, and why defaulting to automation can weaken judgment instead of strengthening it. This conversation is for anyone using AI in their work who wants to stay thoughtful, effective, and accountable—rather than just fast. Episode Chapters: (0:00) AI is everywhere—now what?(0:07) When adoption moves faster than understanding(0:13) Using AI vs. defaulting to it(0:19) The hidden cost of AI shortcuts(0:25) Leadership responsibility in AI use(0:31) How to use AI intentionally(0:37) Final takeaways👉 Listen to more episodes of AI Lab Unfiltered to continue the conversation.

AI can deliver answers instantly—but is that helping us think, or quietly replacing critical thinking altogether? In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn unpack how AI is reshaping decision-making and leadership. As AI becomes easier to rely on, they explore why speed doesn’t always equal clarity, and how judgment, responsibility, and context still matter more than ever. This conversation challenges the assumption that smarter tools automatically lead to better outcomes. If you’re using AI to guide decisions or shape strategy, this episode will help you rethink how much thinking should never be outsourced. Episode Chapters: (0:00) Is AI improving thinking or replacing it?(0:06) The risk of instant answers(0:12) Speed vs. understanding(0:18) Where AI truly adds value(0:24) Leadership and responsibility in AI adoption(0:30) When automation creates blind spots(0:36) Using AI to support—not replace—thinking👉 Listen to more episodes of AI Lab Unfiltered to continue the conversation.

𝗡𝗲𝘄 𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝗗𝗿𝗼𝗽!!  Creativity, Leadership & Human Insight: Finding the AI Balance  Drew Veach (BizStream) and Pete Terryn (NuWave Technology Partners) talk with Brian Tol (Mutually Human) about how artificial intelligence is reshaping business and creative work. They explore the balance between speed and understanding, where AI adds value versus where human insight still matters most, and how leaders can model responsible AI use. This episode is geared toward founders, executives and operators who want to leverage AI without losing critical thinking and human connection.  In this episode, you’ll learn:  - Why AI is best used as a tool to support human judgement, not replace it - How leadership and creativity need to adapt alongside automation - When speed becomes a liability without context - Ways to build trust and transparency with AI in your organization - Strategies for balancing innovation with human connection  🎧 Episode out now → https://lnkd.in/gR3UX4-x  💡 Subscribe for more unfiltered conversations on AI. Powered by ThinkTank Thought Leadership.  hashtag#AILeadership hashtag#DecisionMaking hashtag#HumanInTheLoop hashtag#AIRevolution

AI can generate answers instantly—but what happens when it replaces judgment instead of supporting it? In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn explore the unintended consequences of over-relying on AI for thinking, decision-making, and leadership. They discuss why speed without understanding creates risk, how leaders should model responsible AI use, and why critical thinking still matters more than automation. This conversation is for founders, executives, and operators who want to leverage AI without outsourcing responsibility. In this episode, you’ll learn:- Why AI answers can weaken judgment if used incorrectly- The leadership responsibility behind AI adoption- How speed can become a liability without context- When AI supports thinking—and when it replaces it- How to build better decision-making in an AI-first world Chapters:(00:00) Welcome to AI Lab Unfiltered(00:39) Is AI Replacing Our Ability to Think?(03:12) Speed vs. Understanding in Decision-Making(05:58) Why Instant Answers Create Hidden Risk(08:44) Leadership Responsibility in AI Adoption(11:32) When Trust in AI Goes Too Far(14:18) Teaching Teams to Think Before Prompting(17:05) Using AI as Support, Not a Substitute(19:50) The Future of Judgment in an AI World(22:30) Final Takeaways for Leaders