LogicLoop and Sardine.ai

LogicLoop and Sardine.ai

LogicLoop has been helping Sardine.ai customers get the most out of their investment. For instance, a large money transmitter, a web3 fintech, a few pre-launch startups have all had issues working with Sardine.ai, and LogicLoop can help.‍

Before LogicLoop

Fintechs typically onboard Sardine.ai to manage compliance and fraud workflows. However, as their business grows, they need more: 

  • They spend months integrating and maintaining Sardine.ai, involving expensive data engineering, product and engineering resources. And when their data schema changes, they have to spend a lot of time re-integrating.
  • They cannot experiment on rules easily, or run analyses outside of what Sardine.ai s low code interface supports. This is typically beneficial for teams that do not have data experience, but for teams that are analytically-driven, can become a huge source of frustration, leading “I can write this in 3 lines in SQL, how on earth can I do this here?!”
  • Sardine did not have a flexible case management system, so if your compliance and fraud officers need custom views, you’re stuck building it out yourself. 

We see that fintechs have a huge dilemma here. Stick with Sardine.ai and spend more engineering resources maintaining it or have operations do manual workarounds, or build in-house entirely, which is also very expensive. This is where LogicLoop comes in.

‍LogicLoop was inspired by one of Stripe’s most popular internal tools, that a single risk analyst could use to save the company millions per quarter. LogicLoop can help read across business data, write rules that create Sardine.ai tickets, or write feature tables back to databases that can be ingested into Sardine.ai to write rules. LogicLoop can work to fill in the gaps with your Sardine.ai experience, so your risk analyst and operations team have a smooth end-to-end experience: 

Problem with Sardine.ai adoption

Solution with LogicLoop

Need months of engineering time to integrate and maintain 

Connect across business data and transform it directly before piping it to Unit21

Cannot write rules flexibly 

Write rules on your data directly using SQL, no vendor lock-in or learning a new language

Cannot manage cases in a custom interface

Use LogicLoop’s ticketing system to create custom dashboards, group tickets and track rule analytics

What ‍types of rules can you write with LogicLoop? Basically anything as long as you’ve got the data around it. See a list of fraud and risk monitoring templates here.

‍Customers have found that LogicLoop was easy to integrate and onboard (in weeks not months), gave their analysts more control than any existing vendor without having to build themselves.  

LogicLoop is able to reduce review time by 75% and hence headcount, detect fraud within minutes that reduces losses per attack 5x and increases the pace of product delivery. 

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