Jump-starting innovation in lending with generative AI
Preparing credit packs and annual credit reviews is effort-intensive, time-consuming, and costly. Not only must bank analysts compile and analyze massive datasets, but they must also adhere to a host of regulatory guidelines.
To tackle this challenge, our AI specialists developed a generative-AI-enabled loan origination and monitoring tool that aggregates vast volumes of documents. Using large language models, our solution facilitates data extraction and text segmentation for contextualized data analysis and summarization.
Building on this, our team prioritized explainability. With the solution processing so much sensitive data, we needed a way to pinpoint where the information came from, down to specific sections of documents. So we developed a method for attribution of information, enhancing accuracy and confidence.
In addition, we embedded a responsible AI framework for gen-AI prompt-response monitoring using 25 accelerators, such as an AI governance matrix, machine-learning reliability inspector, data privacy assessor, and more.
With a robust process in place, bank analysts and other stakeholders can now make informed decisions confidently and efficiently.