5
min read

ChatGPT: The shortcut to TL;DR summaries

Published on
2025-08-11 9:29
Updated on
2025-09-16 10:58
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AI talk is inescapable at the moment. That's a good thing, a very good thing. At Strise, we're as excited as anyone about the endless possibilities it opens up but, more than anything, we're focused on spotting the opportunities where we can use it to offer more value to our customers. ✨

The first of many use cases to come is Strise's integration with GPT-4 in optimising the summaries it creates. Strise automatically sources all the adverse media (AMS) related to a company in mere seconds. The AMS data is valuable information but tedious to sort through. What matters most to Strise customers is the gist of each article, the TL;DR version. And that's a very simple task for GPT-4 in the Strise system. 😌

Now, GPT-4 accesses all the AMS that Strise finds. It translates it, summarises it, and organises the summary into valuable bullet points. Each bullet point is listed in order of relevance, making it even easier for our users to identify the most important information. ⚡️

Here's an example of what that looks like from one of the shadiest companies out there, Shady Sharks: https://lnkd.in/ddBPvJK6 🦈


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Who are the top vendors in 2025?

Leading providers include Sayari, Kyckr, Refinitiv, Strise, Lucinity, Napier, Salv, and Sumsub.
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What is the difference between KYC and KYB?

KYC verifies individuals, while KYB verifies companies, their ownership, and legal status.
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What is perpetual KYC/KYB?

It replaces periodic reviews with event-driven monitoring that updates risk profiles whenever new data emerges.
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What is a risk-based approach?

It tailors checks to customer risk, applying lighter verification for low-risk and deeper reviews for high-risk.
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What are the biggest challenges?

Poor data quality, fragmented integrations, inconsistent standards, and friction between business and compliance teams.
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Goodbye, backlogs
Hello, AML automation

We're entering a new era where AML teams eliminate compliance backlogs and fight financial crime with unmatched efficiency. No longer just a cost center, financial crime units become a vital driver of business success. AI is powering this transformation, and it's happening now!

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AI talk is inescapable at the moment. That's a good thing, a very good thing. At Strise, we're as excited as anyone about the endless possibilities it opens up but, more than anything, we're focused on spotting the opportunities where we can use it to offer more value to our customers. ✨

The first of many use cases to come is Strise's integration with GPT-4 in optimising the summaries it creates. Strise automatically sources all the adverse media (AMS) related to a company in mere seconds. The AMS data is valuable information but tedious to sort through. What matters most to Strise customers is the gist of each article, the TL;DR version. And that's a very simple task for GPT-4 in the Strise system. 😌

Now, GPT-4 accesses all the AMS that Strise finds. It translates it, summarises it, and organises the summary into valuable bullet points. Each bullet point is listed in order of relevance, making it even easier for our users to identify the most important information. ⚡️

Here's an example of what that looks like from one of the shadiest companies out there, Shady Sharks: https://lnkd.in/ddBPvJK6 🦈