Facilitating AI integration with simplicity at scale

Jabil, a manufacturing company with operations in more than 100 sites across 30 countries, is concentrating its efforts on simplifying and integrating its technology systems before rolling out new solutions. According to Harish Manohar, SAP’s IT director at the company, the proliferation of local tools, spreadsheets, and manual processes had created data silos that made early problem detection and reliable decision‑making difficult. To prevent new innovations from adding complexity, Jabil adopted a “simplify‑first, innovate‑later” strategy focused on standardizing processes and consolidating a unified data architecture. Integration is being carried out through SAP Integration Suite, enabling workflow connections across the supply chain and giving employees a shared view of information, thereby reducing the need for manual reconciliations. This coherent and accessible data foundation is seen as a prerequisite for effective AI and automation, as it facilitates predictive insights, intelligent exception management, and algorithm‑based planning. Ultimately, large‑scale simplification translates into greater operational resilience and responsiveness to disruptions, providing a significant competitive advantage in an increasingly interconnected industrial environment. This story is relevant because it illustrates how data consolidation and the reduction of technological complexity are critical steps for large organizations to fully leverage the opportunities offered by artificial intelligence.

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