Gokhan Gulec · Fort Lauderdale, FL

AI is failing operators.
I've fixed this before.

22 years building operator adoption systems across 12 countries. Founded AVPMi. Deployed in airports, hotels, hospitals. Sold 2016. Now AI is hitting the exact same wall — extraordinary technology that operators can't use. I built the bridge once. I'm building it again.

For AI companies
You're winning on product. You're losing on adoption.
Your models are extraordinary. Your operator penetration is near zero. I know why — and I have 22 years of proof I can fix it.
See the business case →
For operators
You don't need a developer. You need a blueprint.
I built enterprise valet management without writing a line of code. Documenting every step, live. You can do this too.
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Gokhan Gulec, founder of 72knots.ai
Gokhan Gulec
Founder · 72knots.ai
"I spent 22 years proving operators can adopt automation. Now I'm proving the same thing with AI."
— G.G., on the methodology
22
years operator adoption
12
countries AVPMi deployed
0
lines of code written by Gokhan
2
systems built in two weeks

I'm looking for one AI company willing to solve the operator adoption problem properly.

The gap nobody is closing

95% of the operator market is unreachable. Right now.

Every AI company fights over the same 5% — technical users who understand prompts, APIs, databases. The other 95% are warehouse managers, hotel operators, hospital staff, parking operators. They know their operations better than any AI model. But there's a translation gap nobody is building.

What AI companies do
Build features technical users want
Speak IT language to operations people
Skip the validation layer entirely
Wonder why adoption stalls at 5%
What actually works
Get on the floor and watch what breaks
Ask operators: "Can you hear me?"
Build the validation layer first
Let operators tell AI what to build
Track record

I built this bridge once. The first time it took 20 years.

Gokhan Gulec — operator years
The operator years · Before the patent, before the exit

AVPMi — the first operator-adoption company.

I built AVPMi to solve one problem: parking and valet operators couldn't adopt the software being sold to them. Not because they were resistant — because nobody was building it for them.

By 2016 AVPMi was deployed across 12 countries. Airports, hotels, hospitals, parking operators on three continents. I sold the company. Sailed for seven years. Watched the AI revolution arrive — and watched it walk straight into the same wall.

2003
Founded AVPMi
Built the first operator-first parking management platform.
2016
AVPMi sold
12 countries. Airports, hotels, hospitals.
2020
US Patent 10,580,098 B2
Voice activated hotel room monitor. Granted March 3, 2020.
2023
72knots.ai begins
Rebuilt the methodology with AI. Zero lines of code written by Gokhan.
2026
Two live products. One platform.
Valet AI shipping. BellDesk AI in pilot onboarding. Documented live, in public.
The seven years between

I didn't need to come back.
I came back because AI hit the same wall.

After the AVPMi exit I sailed for seven years. Read everything I could on machine learning. Watched extraordinary models ship — and watched operator adoption stall at 5%, just like it did in 2003.

The technology had changed. The wall hadn't. So I came back. Same playbook, new tools. Two products in less than two years. Zero lines of code written by me.

Gokhan Gulec sailing — the seven-year interlude
2016–2023 · Reading, sailing, watching
The methodology — the paper tower

Anyone can build v1.
The paper tower falls on v2.

The 200th feature meets the first edge case meets the third pivot. That's where most builds collapse — not from bad code, but from the operator never having been in the room. 72Knots is the methodology that keeps the tower standing — 22 years of operator instinct telling the AI what to build, what to throw away, and what NOT to do. Two live products prove the method works. Same playbook, different verticals.

Showcase 01 · Live
Valet AI
Enterprise valet management. Multi-tenant, multi-language, Claude-powered. Shipping now.
Valet AI business intelligence dashboard — $843K revenue, 99.1% SLA
Valet AI operator app — arrival and request screens, multilingual EN/ES/PT Valet AI guest payment confirmation
Showcase 02 · Pilot onboarding
BellDesk AI
Hotel & casino operations. Every guest request routed to the right department. SMS-first. No hardware.
Sophie — multilingual AI receptionist for BellDesk AI BellDesk AI reports dashboard — 17,279 jobs, 13 min avg, 67% on-time
Visit valetparking.ai → Visit belldeskai.com →
"AI wrote the code. An operator wrote the rules."
Tested in the field · Approved by the valet guy
The Build — documented live

Every step is public.
That's the point.

The proof isn't a pitch deck. It's episodes of building real enterprise systems with AI, in public, without a developer.

EP 9Can You Hear Me? The Hotel Room Version
→
EP 8The AI Finally Asked the Right Question
→
EP 7Can You Hear Me? When AI Tried to Teach Me My Own Business
→
EP 6The Build — Getting Rid of the Middleman
→
EP 5Everyone Asked "What If You Get Hit by a Bus?" Then They Stopped.
→
EP 4The Problem They Didn't Hire Me to Solve
→
EP 3Claude Built Something Great. Now Tell Us What It Does.
→
EP 2I Was the User Who Became the Builder
→
EP 1The 95% Problem
→
View all episodes →
The partnership

I have the methodology.
You have the scale.
Let's talk.

Parking and hospitality are the showcase verticals — proof the method works under operational pressure. The same playbook scales across manufacturing, logistics, healthcare, retail, and every other industry where the 95% problem exists. What I can't do alone is run it everywhere. That takes resources, domain experts, and time. I have 2–3 years to embed this inside the right company.

What I bring
22 years of operator adoption methodology, proven in 12 countries. Live proof that operators can build enterprise AI systems without developers. A US patent in validation architecture.
What I need
Resources to scale across verticals. Domain experts in every industry. A real stake in the outcome — this is a 2–3 year commitment, not a consulting gig.
The timeline
The Build is shipping in weeks, not quarters. The proof is being documented live, in public. The conversation should start now — not after everyone else sees it.
The precedent
I've built systems that outlasted the companies that bought them. That's what happens when you build for operational reality instead of a demo.
Start the conversation → Read the full story
Get in touch

Let's talk.

If you're working on AI adoption with business operators, or you're an operator who wants to understand what AI can actually do for your operation — reach out.

Fort Lauderdale, FL USA

Direct: 📧 Show email  |  (954) 612-5464