Jabil, a global manufacturing company headquartered in St. Petersburg, Florida, is betting that simplifying its technology infrastructure first will make future AI investments more effective and scalable.
What Happened
The company operates more than 100 sites across over 30 countries with 140,000-plus employees, serving as a partner for more than 400 global brands. According to Harish Manohar, SAP IT director at Jabil, the organization adopted what it calls a "simplify-first, then-innovate" approach—standardizing processes and consolidating tools before pursuing new technologies. Jabil is using SAP Integration Suite as its foundation to connect previously fragmented systems and retire site-specific tools across regions with varying levels of process maturity and legacy infrastructure.
Why It Matters
For enterprises exploring AI adoption, Jabil's experience illustrates a foundational challenge: disconnected data makes optimization and automation difficult regardless of model sophistication. Manohar noted that integrated workflows can give employees shared visibility into operations and reduce manual reconciliation work. The company reports this is intended to improve real-time supply chain visibility, enabling faster responses to disruptions and reducing operational risk—benefits the manufacturer says could be amplified once trusted data and connected systems are in place for AI-driven planning and forecasting.
The Bottom Line
Jabil's approach underscores a principle the company describes as "simplicity at scale" being a competitive advantage. With its integration backbone now established, the manufacturer is exploring predictive supply chain insights and intelligent exception handling using AI—though these capabilities depend on having reliable, consolidated data flowing across systems first.