Stuart Watkins on Muck Rack

Stuart Watkins

As seen in: MSN UK, Nature, MDPI, DEV Community, The Week Magazine (UK), Health Service Journal, MoneyWeek, National Health Executive, Integrated Care Journal
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Articles

We spent 6 months feeding our compliance data to a major cloud AI. Here's what we got back.

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By Stuart Watkins
| DEV Community
TL;DR: We built our first generation of compliance tooling on top of one of the big three cloud AI platforms. We fed it our screening data, our edge cases, our analyst feedback loops. After six months we realised we were training their general-purpose model with our specialist knowledge, and getting back outputs that any other team could buy off the shelf. This is what we learned, what we ripped out, and what we built instead.
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Your sanctions screening just broke: managing 50+ data sources without burying your team

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By Stuart Watkins
| DEV Community
TL;DR: UK compliance teams now face 50+ fragmented sanctions lists requiring real-time monitoring. Without orchestration and proper match testing, alert volumes double overnight. This article walks through the technical problem, how match tuning reduces false positives by 50-70%, and how no-code orchestration keeps your team above water. Your compliance team screened 200 alerts yesterday. 140 were false positives. Today, you are adding 15 more sanctions lists to monitor in real-time.
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We built an alert triage system. Then we watched analysts ignore it.

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By Stuart Watkins
| DEV Community
TL;DR: 95% of AML alerts are noise. We spent years assuming better detection models would fix that. They didn't. The real problem was that our systems couldn't talk to each other. Context, not cleverness, is what separates signal from noise. I'm going to tell you about a mistake we made early on at Zenoo, because I think most teams building compliance infrastructure are making the same one right now.
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