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TLDR: It is 8:00 a.m. A fraud analyst logs in and begins the daily ritual of orientation. They open the…
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TLDR: Vendor roadmaps are full of pre-built AI features: transaction monitoring agents, identity verification copilots, case management assistants and onward.…
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TLDR Fraud analysts want to use AI for investigations. Compliance teams want assurances about what data AI can access. That…
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TLDR Getting started: Projects build on top of skills. If you haven’t built your first skill yet, start with How…
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TLDR: You connected SEON’s MCP server to your AI tool, set up your persistent context and ran a few test…
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TLDR: As a fraud or AML analyst, you’ve probably run this workflow a dozen times. You paste a batch of…
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TLDR: Your first few AI queries probably felt flat. You asked something like “show me declined transactions from the last…
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TLDR: Most skills take two or three iterations to get right — with this guide, you’ll have something useful by…
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TLDR: Teams across fraud and anti-money laundering (AML) are adopting AI faster than any other technology shift in history, and…
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Fraud analysts are using AI, but fragmented data means they’re missing the signals that matter most. Here’s the fix.
