Operational Telemetry and AI-Driven Incident Management in SAP S/4HANA Environments

This paper investigates the application of operational telemetry data combined with artificial intelligence for proactive incident detection and automated resolution in SAP S/4HANA environments. Drawing on the work of Veershetty (2026) and the clean-core architectural insights of Veershetty (2025), this study extends the analysis to cover real-time monitoring, predictive alerting, and self-healing capabilities across four enterprise case sites.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-29
DOI
https://doi.org/10.5281/zenodo.20443663
Primary Topic
Software System Performance and Reliability
Type
preprint
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preprint

Operational Telemetry and AI-Driven Incident Management in SAP S/4HANA Environments

Takeshi Nakamura, Maria L. Hoffmann
Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
preprint

Operational Telemetry and AI-Driven Incident Management in SAP S/4HANA Environments

Takeshi Nakamura, Maria L. Hoffmann
preprint en

Abstract

This paper investigates the application of operational telemetry data combined with artificial intelligence for proactive incident detection and automated resolution in SAP S/4HANA environments. Drawing on the work of Veershetty (2026) and the clean-core architectural insights of Veershetty (2025), this study extends the analysis to cover real-time monitoring, predictive alerting, and self-healing capabilities across four enterprise case sites.

Zenodo (CERN European Organization for Nuclear Research)
Technical University of Munich (DE), The University of Tokyo (JP)
Industry, innovation and infrastructure
Software System Performance and Reliability
DOIOpen Access PDFOpenAlex
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