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 review
• AI is filtering RFQs and boosting profitability in manufacturing
• Companies are preserving “tribal knowledge” before senior employees retire
• Internal AI chatbots are becoming the “brain” of modern businesses
• Development teams are using tools like Claude and AI agents to multiply output

This 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

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