Explores AI-driven incident management in SAP S/4HANA environments, indicating improved response times.
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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Hoffmann et al. (2026) studied this question.
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