Benchmark
A screening tool is not a chatbot with better manners
Monitor GPT, RAHN Monitor's AI adverse-media reporter, runs on the same kind of large language model behind ChatGPT, Gemini and Claude — a model with real-time web search. Asking one of those directly to check a client is not a sanctions screening. Here's exactly what's missing when you do, capability by capability.
Capability by capability
Sanctions & PEP watchlists
Not connected to one. Answers come from training data and whatever it can find on the web that day.
400+ lists, checked directly, updated daily.
Repeatability
The same question can get a different answer on a different day.
One fixed methodology, run the same way every time.
Ongoing monitoring
One-off. Nothing re-checks the answer tomorrow.
Records under monitoring are re-screened daily, automatically.
Audit trail
No record kept of what was asked or answered.
Every search produces a stored, exportable record.
Adverse-media research
Can search the web on request, with no fixed scope and no saved report.
Monitor GPT runs a scoped web search on demand and files the result — sources cited — as part of the client's record.
Built for a regulator
General purpose. Not designed against FICA, POPIA or any screening obligation.
Built around what the Financial Intelligence Centre expects a screening process to produce.
Why this isn't a "smarter model" claim
Monitor GPT doesn't compete with ChatGPT, Gemini or Claude on general intelligence — it's built from the same category of technology. What makes it a screening tool rather than a chat window is what surrounds the model: a direct connection to 400+ sanctions and PEP lists, a screening methodology that doesn't change between runs, daily re-screening on monitored records, and a stored record of every search. Asking a chatbot about a client is a search. Running RAHN Monitor is a screening — the one your regulator is asking for.
See it against your own client list.
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