Abstract
Tools that just pull up whole, complicated company policy documents often don't help people find the specific answers they need. This new technology is a system for understanding and analyzing policies that works in two ways.
A "Reactive" Mode acts like a Q&A tool. It uses advanced technology (retrieval-augmented generation) to break down policies into small, searchable pieces. This allows the system to give direct answers with citations and even run simulations to show what happens in different situations based on the rules.
A "Proactive" Mode is an automated agent that constantly checks support data to spot trends and see how quickly certain issues are growing. Based on what it finds, this agent can take action, such as pointing out missing information in the knowledge base or flagging ongoing, serious problems.
Overall, this system provides personalized answers and helps the company improve its internal knowledge, which means employees won't have to rely as much on human support teams.
Publication Date
2026-01-07
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Kayande, Tanmay; Raithatha, Deep; Dambhare, Akash; P, Mohith; and Agrawal, Pooja, "Agentic Framework Integrating RAG for Policy Queries and Autonomous Trend Analysis", Technical Disclosure Commons, (January 08, 2026)
https://www.tdcommons.org/dpubs_series/9145