Responsible AI and Intelligent Automation for Enterprise Cloud Platforms A Software Defined and Sensor Aware Framework for SAP HANA Maintenance and Governance

Abstract

In contemporary enterprise cloud environments, organizations leverage in‑memory platforms such as SAP HANA to drive real‑time analytics, business process automation and digital transformation. At the same time, emerging network and sensing technologies — including software‑defined networking (SDN) and distributed wireless sensor networks (WSNs) — enable new forms of monitoring, orchestration and context sensing across the IT/OT boundary. This paper proposes a sensor‑aware, software‑defined automation framework for the maintenance and governance of SAP HANA‑based enterprise cloud platforms, underpinned by a responsible AI paradigm. The framework integrates: (i) a sensor ingestion and network telemetry layer (wireless sensors + SDN) to monitor infrastructure, network and application performance; (ii) an intelligent automation layer that applies AI/ML to trigger maintenance tasks, performance tuning and anomaly remediation in the SAP HANA environment; and (iii) a governance and ethics layer that enforces transparency, responsibility, auditability and human‑in‑the‑loop oversight. We describe the architecture, propose a methodological roadmap for design and evaluation, and examine the trade‑offs of automation speed, trust, and governance overhead. In evaluation we simulate sensor and network data flows, apply predictive automation triggers, and measure key metrics such as time‑to‑remediate, system uptime impact, and governance decision latency. The results suggest that the proposed approach can significantly reduce mean‑time‑to‑repair (MTTR) and proactively maintain system health, while maintaining traceability and human oversight. We discuss advantages (speed, context awareness, unified view) and disadvantages (complexity, dependency on sensor reliability, governance latency). The paper concludes by outlining future work on large‑scale deployment, multi‑tenant cloud scenarios and adaptive governance under evolving regulatory regimes.