Empowering Employees to Work Strategically Using Amazon Bedrock with BDM

Overview

Big Data Mining (BDM), a Brazilian company, built LOUIS, a bespoke generative AI model on Amazon Bedrock combining computer vision and natural language processing to process complex, unstructured corporate documents (contracts, powers of attorney) across more than 100 models and 15 industries. A large Brazilian financial institution deployed LOUIS to replace a team of 150 professionals manually evaluating over 40,000 unstructured processes per month for opening legal-entity accounts and contracting credit, standardizing interpretation criteria and reducing operational effort by more than 40%, an estimated $4.2 million in cost savings over five years. In insurance, LOUIS reduced life insurance claim processing from up to six months to just a few minutes by capturing required data in about 60 seconds. BDM reports documents are processed 85% faster than manual interpretation with 98% accuracy, and saved roughly 50% on development costs by building on Amazon Bedrock rather than writing the application from scratch.

The challenge

Manually analyzing complex documents is a painstaking but familiar process. Every day employees spend hours sifting through large volumes of unstructured data, and by the time they have extracted and interpreted that data, human error can prevent accurate analyses. Before the implementation, every month a team of 150 professionals needed to carefully evaluate over 40,000 unstructured and standardized processes, and the process was prone to errors and decision-making often relied on other employees to offer a second opinion.

The solution