monoup payment blog

[eneria12]

I’ve been trying to sort out a clearer workflow for handling compliance and KYC/AML checks in a high-risk environment, and honestly, the deeper I go, the more blind spots I keep uncovering. Some providers promise “automated everything,” but then you still end up reviewing half the cases manually because the rules don’t match your audience. I’m curious how others deal with edge-case users and the constant tug-of-war between tight risk controls and not scaring customers away.

 

[Lamark1991]

That balance is always the hardest part. I used to work for a mid-size gaming project where we thought we had built a solid KYC flow, but it completely choked during peak traffic because our risk scoring rules were too rigid. We had users who were absolutely legitimate — long-time customers — suddenly getting escalated for “unusual behaviour” just because they shifted payment methods. The lesson for us was to keep the system flexible and let the rules evolve with real data, not just compliance theory.

What helped most was mapping out where friction actually sits in the customer journey and trimming verification steps that didn’t materially change risk. Also, our compliance team started doing weekly syncs with devs so the product didn’t drift away from regulatory expectations. There’s a great breakdown of similar cases here: monoup payment blog — it’s not a magic solution, but reading how other teams handle the same headaches gave us a few ideas to borrow.

 

[eneria12]

Interesting to read both of your experiences — it sounds like everyone eventually hits the same point where the system feels either too strict or too relaxed. From my side, I’ve noticed that things improve a lot once compliance stops being a “separate department” and becomes more like an ongoing habit across the whole team. It doesn’t remove the complexity, but it does make it feel less like firefighting every week.