Sahin Boydas
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How AI is Automating Compliance in the Financial Industry.

Compliance is a huge burden for financial institutions, but AI is helping to automate the process. I’m looking at how AI is being used to streamline everything from KYC/AML checks to regulatory reporting, saving banks time and money while reducing risk.

2024-09-175 min read580 words

Compliance is a huge burden for financial institutions, but AI is helping to automate the process. I’m looking at how AI is being used to streamline everything from KYC/AML checks to regulatory reporting, saving banks time and money while reducing risk.

The Counterintuitive Truth

In financial compliance, the best practitioners often do less, not more.

The lesson: simplicity beats complexity every time. It sounds simple. It's incredibly hard to execute.

The Reality Nobody Talks About

A lot of the advice on financial compliance rests on assumptions that made sense five years ago. The world has moved on.

The first thing to understand is that you need to move fast and break things. I've seen this play out across dozens of companies. The pattern is unmistakable.

Many teams spend months on the wrong path before realizing that the data tells a different story than your gut. Once they make the switch, everything changes.

Lessons From the Trenches

I want to share a few specific lessons I've picked up over the years. These aren't theoretical. They come from real companies, real failures, and real successes.

Lesson 1: The best time to start thinking about financial compliance was yesterday. The second best time is now. Don't wait until you have the perfect plan.

Lesson 2: Hire for attitude, train for skill. The best people at financial compliance are rarely the most technically gifted. They are the most curious and persistent.

Lesson 3: Your competitors are probably getting this wrong too. That's your opportunity. While everyone else is following the same playbook, you can zig when they zag.

This connects to broader themes around AI risk management, AI trading, fintech AI, algorithmic trading, AI banking 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 financial 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 financial 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:What's the most common pushback you get on this?

People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.

Q:Do all experts agree with this view?

No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.

Q:What experience informs this perspective?

This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 234 startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.

Q:How can I apply this thinking to my own situation?

Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.

Written by

Sahin Boydas

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

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