RFP Genie uses LLMs to automate RFP responses, reducing turnaround time from weeks to minutes, freeing teams for high-value tasks.
Presentation Overview:
Problem Statement: Traditional RFP responses at Twilio were resource-intensive, taking several weeks to complete and tying up valuable GTM resources.
Solution Overview: Introduction of RFP Genie, a tool developed using GPT-4 and FAISS embeddings within a RAG framework to provide automated, high-quality RFP answers in minutes.
Technical Approach: Discussion on the use of FAISS for efficient information retrieval and GPT-4 for answer generation by implementing batching and parallelization which avoid rate limits, highlighting the balance between speed and accuracy.
Benefits and Outcomes: Demonstrated reduction in response time, enhanced operational efficiency, and a focus on complex queries requiring human expertise.
Challenges and Risks: Coverage of key risks, including data freshness, dependency on GPT-4, and ensuring data privacy and quality control.
Impact and Future Steps: How RFP Genie aligns with Twilio’s broader goals of empowering GTM teams and a glimpse into the roadmap for handling evolving business needs.
