In today's fast-paced development cycles, product managers are often swamped with the task of continuously reviewing project tickets to assess the status and potential risks. Our presentation dives into how prompt engineering can be a game-changer in this process. Utilizing natural language processing, we showcase a method for parsing and interpreting the vast array of project tickets to instantly categorize them based on urgency, risk, and other vital metrics originated from internal hackathon project we did to help leadership understand the risks of project from reading thousands of tickets in one pass using LLM models. This enables product managers to make well-informed decisions more efficiently. Furthermore, we present a prototype of an AI-powered assistant built on this methodology, designed to assist product managers in real-time project evaluation and risk management.
