Bloom Chat
Generative AI on Enterprise Data. Increase productivity where it matters.
Uniting different data sources to improve productivity
Enterprise data is often siloed and difficult to access. By creating a chat interface that can consolidate historic and real-time data into one interface, we can help users discover insights and make better decisions.
Creating a full stack application
The goal was to create an application that can consolidate historic and real-time data into one interface. By utilizing modern NLP technologies, we can help users discover insights and make better decisions.
Design, Develop, Deliver
I took the initial design and narrative documents and decided to focus heavily on the backend infrastructure and AI implementation. By utilizing a data centric approach, I was able to integrate multiple data sources such as Microsoft 365, Quickbooks, Phonecall transcripts, and a ticket system to deliver a working beta.
Results
After a successful beta, the user can now increase their productivity where it matters. Writing executive reports down from 3 days to 10 minutes. Meeting times down from 45 minutes to 5 minutes. Response times from emails and phone calls down from 1-3 days to 4 hours or less.
Applied AI Full Stack Developer
As an Applied AI Full Stack Developer, I was responsible for the entire software development lifecycle. From initial design to final deployment, I was able to deliver a working beta in 2 months. By utilizing modern NLP technologies, I was able to help users discover insights and make better decisions.