[iframe style=”border:none” src=”//html5-player.libsyn.com/embed/episode/id/40018555/height/100/width//thumbnail/no/render-playlist/no/theme/custom/tdest_id/4139994/custom-color/87A93A” height=”100″ width=”100%” scrolling=”no” allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen]
Welcome to Open Tech Talks.
Quick note before we start, thank you.
The messages, the feedback, the “keep this practical” reminders… they’ve been incredibly helpful. Open Tech Talks has always been a weekly sandbox for technology insights, experimentation, and inspiration—with one objective: learn, test, and share what’s real.
Now, a personal moment from this week.
A few days ago, I sat with a business owner who said something that stuck with me:
“AI is everywhere… but I don’t know where to start without breaking my business.”
And that’s the truth for most companies, especially small businesses.
Because “start with AI” sounds simple… until it touches real operations:
-
leads that go cold,
-
follow-ups that don’t happen,
-
teams that feel overwhelmed,
-
tools that multiply,
-
processes that nobody can explain clearly.
Most AI projects don’t fail because the model is weak.
They fail because the process is unclear, the team is overloaded, and the strategy is missing.
Let’s begin.
Episode # 182
Today’s Guest:
Mindaugas (Min) Maciulis, Founder & CEO of Strategic AI Advisors
He works with CEOs, COOs, and operating partners in the $20M–$250M range who are ready to go beyond pilots and turn AI into real EBITDA growth. His proven 90-day sprint framework, AImpact OS, delivers measurable lifts across productivity, customer service, and sales.
- Website: Strategic Advisors
What Listeners Will Learn:
- Identify the best “starting point” for AI using business pain, not hype
- Understand why AI pilots fail mostly due to adoption (not technology)
- Learn a practical approach to simplify workflows before adding automation
- See how SMBs can move faster than enterprises in the AI era
- Understand the difference between augmentation and transformation with AI
- Learn how to avoid tool overload and focus on measurable outcomes