So many business owners are stuck in the same quiet loop right now. Everyone says you need to be doing something with AI, but almost nobody stops to ask the more honest question first: what are you actually trying to make better? This episode starts there, and stays grounded the whole way through.
Host Shriya talks with Jay Jacobson, a funeral director and business leader who has spent real time closing the gap between AI curiosity and AI results. Jay shares why picking the right problem matters more than picking the right tool, what changes day to day once AI is genuinely working for a team, and how to keep growing with the technology without burning everyone out along the way.
About the Guest
Jay Jacobson is the founder of Jacobson Professional Staffing, where he provides staffing, consulting, and leadership training to funeral homes and small businesses nationwide. He is the author of "Lead by Legendary Example" and has testified before the United States Senate on funeral ethics. Jay brings decades of experience in high trust, high touch service work to how he thinks about using AI thoughtfully in business.
Key Takeaways
- Curiosity about AI is not the same as progress with it. The real starting point is naming the actual problem you want solved.
- Simple, plain language instructions are often all it takes to begin, you can guide AI the way you would coach a brand new employee.
- Training your AI tools on your company's mission and values means everything it helps you draft, from emails to social posts, naturally reflects the culture you actually want.
- The clearest sign AI is working is time. More time with clients, more time with your team, more time at home with family.
- Sustainable AI use comes from steady habits and clear guardrails, not from chasing every new update.
- Protecting privacy matters. Client information and personal details should never be entered into public AI tools.
Connect With Jay Jacobson
Episode Chapters
[00:00] Welcome to AIB — Moving past the noise of "which AI tool" to the real question
[02:30] (approx.) Outside the Business — Jay on mentoring young professionals with AI
[05:30] (approx.) Dabbling vs. Doing — Why the gap comes down to mindset, not method
[11:00] (approx.) Start With the Problem — How to find where AI actually belongs in your work
[18:00] (approx.) A Culture You Can Feel — Training AI on your mission and values
[27:00] (approx.) How to Know It's Working — The real metrics: time, presence, and quality
[32:00] (approx.) Staying Steady as AI Evolves — Guardrails, privacy, and sustainable habits
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