9+ years in e-commerce and operations. Currently building systems in which hidden team knowledge becomes managed AI processes, and growth comes from role multiplication, not from headcount inflation.
Over the last two years, every mid-sized company added “AI chats” and “GPT helpers”. Accountants use ChatGPT for emails, marketers — for copy, operations — for reports. That’s an AI-augmented company. A lot of noise, the operational structure hasn’t changed.
An AI-native company is built differently. Processes are designed from the start around human-agent collaboration. The employee doesn’t use a neural net to help themselves — they design a team of agents and manage it. These are different categories, and they shouldn’t be mixed.
The difference is not in the number of tools — it’s in the operating model. Companies that complete this transition first will hold the advantage of the next decade. The rest will stay with “AI pilots” and wonder why growth doesn’t come.
I don’t sell “AI adoption”. I build operating models I use myself. Every claim in this text comes from what already works, not from what sounds good.
If you want to understand before writing — start with the first. The rest will make more sense after.
Entrepreneur and operator. Nine years building companies in e-commerce and working on global marketplaces. Studied at Skolkovo — AI Shift program and Practicum #29.
Currently shifting focus to AI-native operating models: systems where employees don’t close routine manually, but design and control agents instead. I’m interested not in “AI tricks”, but in how companies reduce bus factor, extract hidden knowledge and turn processes into managed systems.
Fewer people — more results. Less coordination — higher speed. That’s what an AI-native operating model is.
That’s how we’ll get to the point faster. Generic proposals without context — pass.