In this episode, we discuss how artificial intelligence is shaping the way small and medium-sized businesses (SMEs) approach growth, efficiency, and problem-solving. Our guest, Lee Russel, a digital nomad and founder of Minimum Viable Launch, shares practical insights on helping companies adopt AI tools without falling into the trap of hype. Together, we explore the realities of using AI as an accelerant, not a replacement, to free up people to do more impactful work.
This conversation moves beyond the headlines to the lived experiences of UK business owners and leaders experimenting with AI in day-to-day operations. We highlight where companies are succeeding, where they’re overreaching, and how to strike the right balance between curiosity and caution. Above all, we make the case that AI isn’t about replacing people, it’s about equipping them to deliver more value.
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Key Topics Discussed:
- Why AI should be treated as a tool and accelerant, not a silver bullet.
- Common mistakes SMEs make when adopting AI (including the “God model” trap).
- How to start small with AI experiments that actually create measurable impact.
- The value of unstructured data (emails, calls, conversations) as a hidden asset.
- Avoiding the erosion of authenticity when using AI in customer interactions.
- Balancing creativity with restraint to get the best from AI tools.
Who Is This Episode For:
This episode is aimed at business owners, directors, and managers of SMEs, especially those in service sectors, who want to understand how AI can drive real results without overwhelming their teams. It will also resonate with consultants, sales leaders, and operational managers interested in turning technology into practical business advantage.
Quotes to Remember
“AI is a tool that allows you to do what you do in a more remarkable way.”
“Unstructured data is gold, it turns your conversations into actionable insights.”
“AI should amplify your customer relationships, not automate away your authenticity.”
Actionable Takeaways:
- Start small: identify one or two simple AI experiments to test in your business.
- Interview your team to uncover bottlenecks, and focus AI on removing those obstacles.
- Use templates and clear guardrails when prompting AI for consistent outputs.
- Treat AI as an accelerant: redeploy saved time into higher-value work.
- Be intentional: ensure any AI adoption enhances credibility and authenticity with customers.
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