PAGER: Proactive Monitoring Agent for Enterprise AI Assistant

Authors

  • Sujan Dutta Rochester Institute of Technology
  • Junior Francisco Garcia Ayala New York University
  • Pranav Pujar The University of Texas at Arlington
  • Sai Sree Harsha Adobe Systems
  • Dan Luo Adobe Systems
  • Nikhil Vasudeva Adobe Systems
  • Bikas Saha Adobe Systems
  • Pritom Baruah Adobe Systems
  • Yunyao Li Adobe Systems

DOI:

https://doi.org/10.1609/aaai.v40i48.42344

Abstract

We present a Proactive Monitoring Agent designed for large-scale customer data platforms, such as Adobe Experience Platform (AEP), to predict and prevent workflow disruptions before they impact business operations. Unlike existing reactive solutions that assist engineers only after failures occur, our agent anticipates potential failures across multiple workflow stages, explains its predictions in natural language, and interacts with customer support engineers through a conversational interface. The system integrates a machine learning-based Prediction Module, Knowledge Graph APIs for contextual data access, and a Query Processor that powers an interactive Q&A experience, enabling timely and actionable insights to minimize operational risks and maximize business continuity.

Downloads

Published

2026-03-14

How to Cite

Dutta, S., Ayala, J. F. G., Pujar, P., Harsha, S. S., Luo, D., Vasudeva, N., … Li, Y. (2026). PAGER: Proactive Monitoring Agent for Enterprise AI Assistant. Proceedings of the AAAI Conference on Artificial Intelligence, 40(48), 41574–41576. https://doi.org/10.1609/aaai.v40i48.42344