The Reality Behind AI Adoption
Season 02
2026
HOW BUSINESSES ACTUALLY USE AI
Not the demos. Not the case studies the vendor wrote. The operators, named, with money on the line.Every episode, an executive operator or business owner answers the same three questions on the record: what's working in AI, what's broken, and what still needs to be built.
10 industries so far. 24 AI product requests named out loud.
I don't make content about AI. I index what real customers want from it.
HOST
Galina FendikevichManufacturing · Logistics · Finance · Legal · Media · Hospitality · Defense · Fashion · Healthcare ·
Manufacturing · Logistics · Finance · Legal · Media · Hospitality · Defense · Fashion · Healthcare ·
Who this is for
two audiences. one conversation.
IF YOU BUILD AI
YOU CAN BUILD ANYTHING. THIS TELLS YOU WHAT'S WORTH BUILDING.
Your roadmap is a bet on what customers want. Most of the evidence behind it is founder-reported, vendor-produced, or 3 quarters old. This is primary research: named operators, in industries you've never worked in, saying out loud what they pay for, what they cancelled, and what nobody has built yet that they want to buy.
24 products requested, each in the operator's own words. They’d love to become a user.
Why deals stall, from the buyer's side: the integration quote that killed it, the objection you never heard, the pilot that died before onboarding
The words customers actually use instead of your own tech jargon — the vocabulary that decides whether they can find you at all
IF YOU RUN A BUSINESS
FIND OUT WHAT ACTUALLY WORKED FOR SOMEONE LIKE YOU.
Everyone is selling you AI. Almost nobody will tell you exactly what it costs, how long it takes, or where it breaks. These are operators in your position — running a real business, spending their own money — with the numbers attached.
What your peers actually pay for, named tool by named tool, and what they walked away from
What it really costs: the $30,000 lost to one missed step, the 83% payroll cut, the 45-page lease reviewed in three minutes
Where it fails and why — so it fails on someone else's dollar instead of yours
What to do first, not just what happened: every playbook ends in a recommendation
Every episode asks three questions. Every answer is a data point.
I.
What’s working
The tools operators rely on and pay for, named on the record.
"It took ChatGPT 3 minutes to review a 45-page commercial lease. It flagged 8 things that would've hurt me."
- Dr. Nikki Siso · Conscious Kitchen
II.
what’s broken
Where AI falls short in practice, and what it costs when it does.
"A client asked ChatGPT if he could anchor in 25 knots of wind. It said yes. I said: I don't care what ChatGPT says, you need to trust the captain."
- Jennifer Kerum · Anchor Croatia
III.
what still needs to be built
The product wishlist, stated directly by the people who would pay for it.
"If there's a 3-week lag in the information feeding into Claude, that's basically useless for building a media list."
- Sam Polstein · HAUS Agency
CONVERSATIONS from the front lines of AI adoption
11 episodes across luxury travel, legacy industries, public relations, hospitality, M&A, creative, restaurant, retail & events, and health & wellness. Every guest naming the tools they actually pay for and what tools they want.
Sam Polstein on what why AI fails at building a media list
Sofiane Ghorbel makes an AI product request for luxury hospitality
Christine McDannell wants an M&A specific marketing tool
24 Products operators asked for and haven’t found.
Every request here came out of a real business with a real budget behind it. Search by industry, by problem, or by what you're already building. Each one carries the quote, the cost, and the operator who said they'd buy it.
Sample requests (live from the index):
A persistent, privacy-respecting client profile — asked for by 4 operators across 4 industries. Cross-industry.
Marketing that runs A to Z for specific domains — "so yes, Silicon Valley, please build this." · Chrissy McDaniel, M&A
Menu-matching for food sensitivities — "That would be gold. Gold, gold, gold." · Dr. Nikki Siso, Restaurants
A media list that knows what a journalist wrote this week — Sam Polstein, PR
Fleet search by what the client actually asked for — Jennifer Kerum, Yacht charter
Who’s Been on the Show
Every guest actively buys and deploys AI inside a real business.
Not analysts. Not AI companies. Operators with payroll, customers, and something to lose.
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Click the link to watch on YouTube: https://youtu.be/E1HyD6N5W8M?si=oJvC9yRGK0g3qLvg
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Click the link to watch on YouTube: https://youtu.be/i3jt4fs02FM?si=ck-7EVl3KDFeugBs
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Click the link to watch on YouTube: https://youtu.be/425kot6dd8I?si=l2H-JpUTyjrHHEZa
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Click the link to watch on YouTube: https://youtu.be/Oo5rT9aS2RQ?si=X9fEDkLQYBCbmuwg
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Click the link to watch on YouTube: https://youtu.be/1VO7nWtzNEU?si=pzYNJSNocV8J6IHO
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Click the link to watch on YouTube:
I Trusted AI To Build My Restaurant, It Cost Me $30,000 - https://www.youtube.com/watch?v=7LF4Ro8Hg6M
How a Non-Tech Founder Built a 15-Agent AI Health & Wellness Business on Claude - https://www.youtube.com/watch?v=R_zWAgAEIMw
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Click the link to watch on YouTube: https://www.youtube.com/watch?v=OS5rVwjOZxQ
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Click to watch on YouTube: https://www.youtube.com/watch?v=xob6-0hDHXc
Plus more guests coming up in Season 2!
i’d love to have these dream 100 guests on the show
If you know someone on it, I would appreciate an introduction. If you are on this list, this is your invitation. You're not on here by accident. I would love to hear your story of how you're ACTUALLY adopting AI and get your requests in front of the people building the tools.
hosted by
galina fendikevich
Wall Street machine learning → 1 exit to $9B company → led enterprise go-to-market for an AI unicorn → now interviewing the operators deploying AI every day
want to Collaborate?
Submit your inquiry and I’ll respond within 24 hours.