Sahin Boydas
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7 Lessons on EU AI Act Compliance

Seven non-obvious lessons on making an AI product comply with the EU AI Act: risk tiers, documentation, data rules and the costs founders underestimate.

2025-03-017 min read633 words

Making an AI product fully compliant with the EU AI Act is a long, expensive project for any team that takes it on. It is brutal, but the lessons are invaluable. I'm breaking down the 7 most critical, non-obvious takeaways for any founder in the AI space.

What I've Learned From 144 Companies

A few patterns in EU AI Act compliance come up again and again.

The founders who handle EU AI Act compliance well understand that customer feedback is the only metric that matters.

The Counterintuitive Truth

In EU AI Act compliance, the best practitioners often do less, not more.

The lesson: the market doesn't care about your roadmap. It sounds simple. It's incredibly hard to execute.

The Framework That Actually Works

Here is a simple framework for evaluating EU AI Act compliance. It's not complicated, but it requires discipline.

Step 1: most founders overthink this and underspend on execution

This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.

Step 2: simplicity beats complexity every time

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 that get EU AI Act compliance right treat it as an ongoing process, not a one-time project.

The AI Angle

Any discussion of EU AI Act compliance in 2026 has to include AI. As someone who's invested in Anthropic, OpenAI, Scale AI, and Hugging Face, I have a front-row seat to how AI is transforming this space.

The short version: AI makes good practitioners better and bad practitioners worse. It's an amplifier, not a replacement.

Some teams use AI to get far more out of EU AI Act compliance. Others spend heavily on AI that solves the wrong problem. The difference comes down to understanding what you're actually trying to achieve.

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

The Bottom Line

None of this is rocket science. But it does require intentionality, consistency, and a willingness to learn from mistakes.

If you take one thing from this article, let it be this: start now, start small, and iterate. The founders who win at EU AI Act compliance aren't the ones with the best strategy on paper. They're the ones who execute, learn, and adapt faster than everyone else.

Companies that take EU AI Act compliance seriously tend to pull ahead of the ones that don't.

If you're working on something interesting in this space, I'd love to hear about it. Drop me a line.

FAQ

Frequently Asked Questions

Q: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 234 startups I've invested in. I prioritize practical, actionable items over theoretical concepts.

Q: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.

Q: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.

Q: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.

Written by

Sahin Boydas

Serial entrepreneur, #1 angel investor, author of Becoming Top 1%

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