Fourteen years. Four major pivots. A $300M+ exit. I built Beekeeper from a side project into one of Europe’s leading enterprise SaaS companies without a single AI tool worth mentioning.
I’m proud of that. I’m also clear-eyed about what it cost me when the world changed.
The problem with being good at something
When large language models became genuinely useful — not hype, actually useful — I had a problem most people don’t talk about: 14 years of deeply ingrained professional habits. Ways of thinking, ways of working, ways of making decisions. All of them built for a world where AI wasn’t in the room.
The first time I used ChatGPT seriously, I thought: this is remarkable. Then I went back to my old workflow. Because habits are gravity.
I watched myself do this for months. Trying something, being impressed, reverting. Delegating the interesting AI experiments to people on my team. Telling myself I was “staying informed.” I wasn’t getting fit.
The pattern is the same in every executive I know
They try it. They’re genuinely impressed. They go back to what they know. They tell themselves they’ll come back to it. They hand it off to someone younger and sharper on the tools. They stay in the loop through briefings and demos.
None of that builds capability. It just builds the comfortable illusion of it.
I had every advantage: a PhD in systems thinking, 14 years of pattern recognition in complex organisations, full control over my own schedule. And it still took a conscious decision — a deliberate, uncomfortable decision — to actually change.
What finally broke the pattern
Not a better tool. Not a better tutorial. A commitment: I would use AI personally, for every substantive task, for 30 days straight. No delegation. No opt-outs. If I would normally ask my EA, my team, or my own memory — I would route it through AI first.
The first week was slow and humbling. My prompts were terrible. I kept reaching for the old muscle memory. I was measurably less efficient than I’d been the week before.
By week three, something shifted. Not the tools — they hadn’t changed. My relationship with them had.
I stopped trying to use AI the way I used Google. I started treating it the way I treat a very smart colleague who happens to know everything but has no context about my situation. I bring the context. They bring the depth. Together we move faster.
What Beekeeper taught me that AI amplifies
At Beekeeper, the pivots that saved us weren’t the ones driven by data. They were driven by a founder who had enough pattern recognition to see what the data couldn’t yet show — and enough conviction to act before the window closed.
AI doesn’t replace that. But it compresses the time between noticing something is wrong and understanding what to do about it. In 2026, that compression is a competitive advantage. In 2028, it will be table stakes.
The executives who are building that capability now — personally, not through proxies — are going to have a head start that compounds.
I built the company I’m most proud of without AI. I don’t say that to be nostalgic. I say it so you know I’m not selling you something I haven’t personally had to wrestle with.
Getting AI-fit after 14 years of building without it was hard. It required intention, consistency, and a willingness to be slow before I got fast again. It was worth every uncomfortable week.
That experience is exactly what I bring to Executive AI Fitness. Not theory. The real reset — and how to do it faster than I did.
Frequently Asked Questions
What is Executive AI Fitness and who is it for? Executive AI Fitness is a personal AI training programme designed specifically for senior leaders — CEOs, board members, founders, and C-suite executives — who want to build genuine AI fluency themselves, not through proxies. It’s particularly suited for experienced operators who have built careers without AI and need a deliberate reset.
Why is it so hard for experienced executives to become AI-native? Because professional habits are deeply ingrained. The more successful you’ve been without AI, the more gravity your existing workflow has. Experienced executives don’t lack curiosity — they lack structured, intentional practice that breaks the pattern of trying something new and then reverting to the familiar.
How is Cris Grossmann qualified to run Executive AI Fitness training? Cris has a PhD from ETH Zürich, co-founded and scaled Beekeeper from zero to a $300M+ exit over 14 years, sits on multiple boards, and went through the AI-native transition personally — not as an observer. He trains executives on what he’s actually done, not on theory.
How quickly can an executive expect results from AI fitness training? Most participants report meaningful shifts within the first week of structured training. The goal isn’t just learning new tools — it’s building a new default operating mode. That typically takes 30 days of intentional practice following the initial intensive.