In banking, preparing credit packs and annual credit reviews is time-consuming and costly. Bank analysts must compile and analyze massive datasets and adhere to regulatory guidelines.
To tackle this challenge, we developed a generative-AI-enabled loan origination and monitoring tool that aggregates vast volumes of documents. Using large language models, it extracts data and segments text to create analysis and summaries.
With the solution processing so much sensitive data, we needed to pinpoint exactly where the information came from. We implemented a method to attribute information, enhancing accuracy and confidence. We also embedded a responsible AI framework to monitor responses.
Now, bank analysts and other stakeholders can make informed decisions quickly and confidently.