About
Svetlana Makarova
Svetlana Makarova, Principal Consultant at Spark Change, has led AI initiatives at Mayo Clinic impacting over 80,000 people in regulated environments. She has trained executives and business leaders in AI at NextMBA and Cornell, alongside speakers like Brian Tracy and Seth Godin. With 14+ years of digital innovation experience, she helps teams embrace AI as a strategic advantage.
What Sets Us Apart
Real-World Impact
Proven Track Record
Hands-on AI Experience
Business-First Approach
Regulatory Savvy
Our Why
We are passionate about helping businesses navigate AI with clarity and confidence. We believe AI shouldn’t be reserved for high-tech, digitally native corporations. As big tech grows and AI startups surge, the gap in the middle widens.
Our mission is to close this gap —empowering organizations with the strategy, skills, and confidence to succeed with AI.
AI shouldn’t be reserved for digitally native organizations.
We help AI work for you.
Our Guiding Principles
What if you could stop wasting time on AI that doesn’t deliver by focusing on what your business actually needs? This ensures every AI project ties directly to a real goal—like cutting costs or growing sales—before you even think about the tech.
"We start with why, not how."
Wouldn’t it be better to show quick results that build trust, rather than overpromising and underdelivering? This focuses on getting a small AI test working—like saving 10 hours a week—before chasing bigger dreams.
"Small wins today beat big promises tomorrow."
What if your team’s buy-in was the key to AI success, not just the tech? This puts your people first, ensuring they’re trained and ready to use AI, so it fits their work instead of fighting it.
"People drive AI, not the other way around."
Wouldn’t it feel safer to spot AI pitfalls before they cost you millions? This helps you check for budget or team risks early, so you can fix them and keep your project on track.
"Risk isn’t the enemy; ignoring it is."
What if you could try AI on a small scale before spending big? This means running a quick test—like a one-month trial—to see if it works, saving you from costly mistakes down the road.
"We test before we bet."
Wouldn’t it be easier if everyone agreed on what AI should do from the start? This gets your team and leaders on the same page, so your project doesn’t drift off course.
"Clarity today saves chaos tomorrow."
What if you could prove AI’s worth with hard numbers your boss trusts? This focuses on tracking real results—like sales growth or time saved—so you can justify every penny spent.
"Every AI dollar must earn its keep."
Wouldn’t it be smarter to build on what’s working, instead of trying to change everything overnight? This helps you take a small AI win—like in one department—and expand it gradually to others.
"Grow it step by step, not all at once."
What if you knew exactly what your team needs from AI, instead of guessing? This encourages you to ask questions and listen, so AI solves real problems, not made-up ones.
"Ask more, assume less."
Wouldn’t it be better to get AI working than to just talk about its potential? This keeps you focused on doing the work—testing, measuring, growing—so you see results, not just ideas.
"Execution beats excitement every time."
If this resonates, let’s talk.
Contact us
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