7 Things I Learned Building a Compliant AI Under the EU AI Act

Published 2024-06-16 · Updated 2026-05-23 · 5 min read · AI Ethics and Regulation · By Sahin Boydas

I just spent 18 months and over $250,000 making our AI product fully compliant with the EU AI Act. It was brutal, but the lessons were invaluable. I'm breaking down the 7 most critical, non-obvious takeaways for any founder in the AI space.

I've been investing in AI companies since before it was cool. 7 things i learned building a compliant ai is the thing that separates winners from losers.

I just spent 18 months and over $250,000 making our AI product fully compliant with the EU AI Act. It was brutal, but the lessons were invaluable. I'm breaking down the 7 most critical, non-obvious takeaways for any founder in the AI space.

The Counterintuitive Truth

Here's what surprised me most about 7 things i learned building a compliant ai: the best practitioners do less, not more.

When I was building MovieLaLa, we tried to do everything at once. We had the best technology, the smartest team, and we still almost failed because we spread ourselves too thin.

The lesson I took from that experience, and from watching hundreds of other companies, is that customer feedback is the only metric that matters. It sounds simple. It's incredibly hard to execute.

The Reality Nobody Talks About

Most people approach 7 things i learned building a compliant ai with assumptions that made sense five years ago. The world has moved on. When I look at my portfolio companies, the ones that succeed are doing something fundamentally different.

The first thing to understand is that simplicity beats complexity every time. I've seen this play out across dozens of companies. The pattern is unmistakable.

At RemoteTeam, we learned this the hard way. We spent months going down the wrong path before realizing that timing is everything in this game. Once we made the switch, everything changed.

What I've Learned From 131 Companies

After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with 7 things i learned building a compliant ai.

The biggest misconception is that you need to the data tells a different story than your gut. That's backwards. The companies that win are the ones that you should focus on one thing and do it exceptionally well.

I remember sitting with the Anthropic team early on and discussing how they thought about 7 things i learned building a compliant ai. Their approach was counterintuitive but brilliant.

What I Tell Founders

When a founder in my portfolio asks me about 7 things i learned building a compliant ai, I usually start with three questions:

  1. What's your timeline? Because the right approach for a company with 6 months of runway is very different from one with 3 years.
  2. What have you already tried? Most founders have tried something. Understanding what didn't work is often more valuable than knowing what might.
  3. Who on your team owns this? If the answer is "everyone" or "no one," that's your first problem to solve.

These questions seem simple but they reveal a lot about where a company actually stands.

This connects to broader themes around ai-ethics|AI bias, AI safety, responsible AI that I've been thinking about a lot lately.

What's Next

The world of 7 things i learned building a compliant ai is moving fast. What worked last year might not work next year. That's both the challenge and the opportunity.

My advice: stay curious, stay humble, and stay close to the people who are actually doing the work. Read less thought leadership and do more experiments. Talk to fewer consultants and more practitioners.

And if you're a founder building in this space, remember that the best time to get 7 things i learned building a compliant ai right is before you need to. Don't wait for a crisis to force your hand.

I'll keep sharing what I learn. This stuff matters too much to keep to myself.

Frequently Asked Questions

How were these items selected?

Each item on this list comes from direct experience, either from building my own companies or from patterns I've observed across the 200+ startups I've invested in. I prioritize practical, actionable items over theoretical concepts.

Can I implement all of these at once?

I'd strongly recommend against it. Pick the 2-3 items that resonate most with your current situation and focus there. Trying to do everything simultaneously is a recipe for doing nothing well.

Are these recommendations still relevant in 2026?

Absolutely. While specific tools and tactics change, the underlying principles remain consistent. I update my thinking regularly based on what I'm seeing in the market and across my portfolio companies.

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