Case Study: a multinational audit company automates meeting summarization with KANINI

A multinational audit company automated the process of summarizing minutes of meetings with an application built using the ChatGPT 4 large language model

KANINI partnered with a multinational audit company that was struggling with the manual and time-consuming process of creating minutes of meetings (MoMs). The client spent significant resources having dedicated staff join calls to transcribe proceedings and identify action items from auto-generated transcripts of meetings held on platforms like Zoom and MS Teams.

KANINI developed an automated solution using the OpenAI GPT-4 API to process meeting transcripts and generate accurate summaries. The application created MoMs tailored to custom templates for different meeting types and extracted clear action items. This implementation by KANINI successfully automated the client's summarization process, achieving 85-90% accuracy and significantly reducing the manual effort and time previously required, allowing employees to focus on critical next steps.