The AI Basics You Need in Your Business with Hunter Jensen 

The workplace is changing faster than the conversations guiding it. We’re stepping up with a sharper plan for Season Seven: weekly episodes designed to spark action, challenge assumptions, and give you practical tools to build spaces and businesses that actually work.

AI-based tools are all the rage, but real results don’t come from chasing every new platform. Results come from a solid foundation built on clear practices and intentional actions. Hunter Jensen, CEO of Barefoot Solutions and Barefoot Labs, helps us break through the noise and map a practical path from hype to ROI. 

Hunter explains why the transformer breakthrough accelerated the field, what truly changed with generative AI, and why most teams need to hit pause until their data is clean, current, and complete.

We walk through the core building blocks leaders skip: a clear AI strategy focused on measurable outcomes, an AI policy that sets guardrails for safe use, an execution plan with approved tools, and a real governance practice you teach to the whole company. 

Hunter shares blunt truths about public LLM risks and shows how private, secure models paired with retrieval augmented generation can turn your existing documents—price books, warranties, specs, and installation guides—into fast, reliable answers for support, HR, and sales. 

The result: shorter sales cycles, faster resolution times, and happier teams freed from repetitive work.

You’ll learn about concrete examples like: drafting IP filings with better inputs, building an HR assistant that explains benefits without bottlenecks, and arming reps with live, accurate details that keep momentum on calls. 

Hunter also opens up about his own pivot from selling engineering hours to building Compass, a secure LLM + RAG product that lives in your cloud, and why picking a single high-impact workflow is the smartest way to start. If you’re overwhelmed by the flood of AI tools, this conversation gives you a simple, defensible plan to move forward with confidence—and proof points to measure along the way.

In this episode: