PAGER: Proactive Monitoring Agent for Enterprise AI Assistant
Sujan Dutta, Junior Francisco Garcia Ayala, Pranav Pujar, Sai Sree Harsha, Dan Luo, Nikhil Vasudeva, Bikas Saha, Pritom Baruah
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.
BibTeX
@inproceedings{aaai2026_pagerproactivemo,
title = {PAGER: Proactive Monitoring Agent for Enterprise AI Assistant},
author = {Sujan Dutta and Junior Francisco Garcia Ayala and Pranav Pujar and Sai Sree Harsha and Dan Luo and Nikhil Vasudeva and Bikas Saha and Pritom Baruah and Yunyao Li},
booktitle = {AAAI 2026},
year = {2026}
}