Customer Stories / Software & Internet

2024
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Parameta Automates Manual Compliance Reviews and Saves Hours Using Amazon Bedrock

Parameta, a division of TP ICAP, automated regulatory compliance reviews using generative AI on AWS, reducing review time from 1 month to minutes.

Minutes

to create a regulation database versus 1 month

3

weeks to develop a generative AI solution

Minutes

to assess documentation versus hours

Overview

For the tightly regulated financial services industry, staying compliant with regulations is a constant challenge. The compliance team at Parameta, a division of global markets and data solutions provider TP ICAP, spent hours manually reviewing the Benchmarks Regulation and assessing whether its products and documentation were up to par. Seeking a more efficient solution, Parameta began to explore generative artificial intelligence (AI) on Amazon Web Services (AWS).

Stacks of documents files for finance of office working. Business report papers or Piles of unfinished document achieves with black clip paper.

Opportunity | Seeking a Smarter Solution for Regulatory Compliance

Parameta provides over-the-counter data and independent insights, helping clients manage risk and optimize capital. The compliance team would receive regulations as PDFs, copy and paste them into spreadsheets, and track how different solutions would comply with each relevant article of the law. This process could take up to 1 month or longer for each regulation.

When Parameta attended an AWS workshop, it learned how different companies accelerate manual processes and boost productivity by using Amazon Bedrock, which facilitates the way that organizations build and scale generative AI applications. Inspired by these success stories, Parameta reached out to AWS.

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We are creating new opportunities and possibilities for our organization using generative AI on AWS.”

Rushmi Katyal
Chief Governance Risk and Business Automation Officer, Parameta

Solution | Developing an Automated Compliance Review Solution in 3 Weeks

Using Amazon Bedrock, Parameta developed a solution that uses generative AI to automate the compliance review process. With the support of the AWS prototyping team, the company developed the solution in 3 weeks.

Now, Parameta uploads a regulation and transposes it into a database using Amazon Textract, which automatically extracts text, handwriting, layout elements, and data from scanned documents. Using Amazon Bedrock, the solution compares documents automatically to assess compliance. Parameta can then review and confirm the AI-generated assessment. “The compliance team loves the tool’s user-friendly interface,” says Rushmi Katyal, chief governance risk and business automation officer at Parameta. “It doesn’t require technical expertise; nearly anyone can upload a document and view the results in an easy-to-understand format.”

With this solution, Parameta reduced the time to create a regulation database from 1 month to minutes. Moreover, assessing compliance documentation now takes minutes instead of hours or days. Thanks to these improvements, the compliance team is more efficient and can focus on higher-value work.

Outcome | Opening Up New Opportunities and Possibilities with Generative AI

By improving its compliance review process, Parameta can now launch new services to clients at a fast pace.

The success of this project has sparked interest in adopting AI across the firm. TP ICAP has even created a new position to oversee and nurture proofs of concept like this one.

“By uploading different regulations, we can apply the tool to various products and use cases,” says Katyal. “We are creating new opportunities and possibilities for our organization using generative AI on AWS.”

About TP ICAP

Based in London, TP ICAP Group is a global markets infrastructure and data solutions provider with a portfolio of businesses that provide broking services, data and analytics, and market intelligence.

AWS Services Used

Amazon Bedrock

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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Amazon Textract

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, layout elements, and data from scanned documents.

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