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

Published 2024-05-23 · Updated 2026-05-05 · 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 spent $50,000 learning this lesson about 7 things i learned building a compliant ai the hard way. You can learn it in 10 minutes.

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 your team matters more than your technology. It sounds simple. It's incredibly hard to execute.

The Framework That Actually Works

I'm going to share the exact framework I use when evaluating 7 things i learned building a compliant ai. It's not complicated, but it requires discipline.

Step 1: simplicity beats complexity every time This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.

Step 2: most founders overthink this and underspend on execution Once you have the foundation right, this becomes much easier. I've watched founders struggle with this for months when the answer was staring them in the face.

Step 3: Iterate relentlessly Nothing works perfectly the first time. The companies in my portfolio that nail 7 things i learned building a compliant ai are the ones that treat it as an ongoing process, not a one-time project.

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 governance, AI alignment that I've been thinking about a lot lately.

Wrapping Up

I've shared a lot here, and I know it can feel overwhelming. But here's the thing about 7 things i learned building a compliant ai: you don't need to get everything right on day one. You just need to get started and keep improving.

The founders in my portfolio who excel at 7 things i learned building a compliant ai share one trait: they're relentlessly practical. They don't chase perfection. They chase progress.

That's the mindset I'd encourage you to adopt. Start where you are. Use what you have. Do what you can. And keep pushing forward.

As always, I'm rooting for you.

Frequently Asked Questions

How do I know which items apply to my situation?

Start by honestly assessing where your biggest bottleneck is right now. The items that address that specific constraint will give you the highest return on your time and energy.

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.

Which item on this list has the highest impact?

It depends on your stage and context, but in my experience, the items near the top of the list tend to have the broadest applicability. That said, sometimes the less obvious items create the biggest breakthroughs for specific situations.

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