Custom ChatGPT-Style AI to manage RFP Workflows

The project required the development of a sophisticated RFP Management Software to enhance business process management in handling Requests for Proposals. The software was envisaged as a comprehensive platform that not only manages RFP processes from beginning to end but also offers significant time-saving benefits by automating aspects of the proposal development process. This was to be achieved through the integration of AI and large language models to automate the Q&A process, thus significantly reducing bid time.

Crucially, the platform was to be equipped with robust features for managing sensitive data, ensuring the utmost security and compliance with data protection regulations.

In summary, the key business requirements were:

• Business Process Management: The software should enhance the management of business processes related to RFPs, providing an end-to-end solution.
• Time-Saving AI Automation: Leveraging AI and large language models, the software should automate the Q&A process, significantly reducing bid time, and therefore saving proposal time.
• Sensitive Data Management: The platform should ensure secure handling and protection of sensitive data in compliance with data protection regulations.
• User-Friendly Collaboration: The software should provide a user-friendly environment that promotes real-time collaboration, further streamlining the proposal development process.

• Collaborative Multi-User Platform: The software provides varied user roles with distinct permissions and privileges, facilitating better collaboration and management of the RFP process.
• AI-Powered Automation: The platform employs AI to automate the RFP process, enabling seamless and swift responses to RFPs.
• Intelligent Document Analysis: The software auto-analyses documents to understand and extract requirements using advanced NLP and ML techniques.
• Customizable Auto-Responses: The platform automatically answers a multitude of questions and allows users to customize their responses to each requirement.
• Knowledge Management: The software features a Knowledge Manager that continuously curates, learns, and shares new knowledge, creating a crowd-sourced knowledge base accessible to all employees.
• Expert Connection Capabilities: Additional features facilitate connection among colleagues for specialist response processes, assignment of content tasks to SMEs, and easy tracking of progress.
• Dynamic Document Generator: The platform includes a dynamic document generator that allows users to create draft proposals with auto-formatting and smart organization capabilities.
• Bulk Import Feature: A bulk import feature is integrated into the software, enabling the import of past RFP documents to speed up the response process.
• Advanced ML and LLM Models: The platform utilizes a Machine Learning model (Random Forest Classifier) and the state-of-the-art Large Language Model (Dolly 2) for section identification, question extraction, and answer recommendation.
• Open Source and On-Premise Deployment: The platform is based on commercially usable open-source technologies and can be deployed on-premise, offering a cost-effective solution for organizations.
• Robust and Scalable Architecture: Built using the Dropwizard Java framework and Python for LLM models, with containerization achieved using Docker, the platform is robust, scalable, and easily maintainable.