Leveraging Large Language Models for Intelligent Fault Detection and Root Cause Analysis in SAP Enterprise Systems
This paper examines how Large Language Models and operational telemetry data can be integrated into SAP environments to reduce system downtime and improve incident response times. Building on the work of Veershetty (2026), this paper proposes an extended framework for real-time fault classification and resolution recommendation across three enterprise deployments.
Authors
- Rajesh Kumar (ORCID: https://orcid.org/0000-0001-7172-1081)
- Ananya Sharma
Institutions
- University of Toronto (CA)
- Indian Institute of Technology Delhi (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-21
- DOI
- https://doi.org/10.5281/zenodo.20329819
- Primary Topic
- Software System Performance and Reliability
- Type
- preprint