tesa SE: Shaping the Future as an Autonomous Enterprise with SAP
en
tesa SE is advancing toward an Autonomous Enterprise by driving operational excellence and AI readiness through a global transformation with SAP S/4HANA, spanning more than 60 entities worldwide. By standardizing end-to-end processes and establishing a single source of truth for finance and operations, the company is reducing complexity, increasing transparency, and strengthening control—laying the foundation for data-driven, intelligent decision-making.
Industry
Chemicals
Region
Norderstedt, Germany
Employees
5,500+ employees
One of the world’s leading manufacturers of self-adhesive product and system solutions, tesa SE makes more than 7,000 products that serve distinct industrial and consumer needs. Its highly specialized products are used in electric cars and batteries, smartphones and tablets, printing and paper, as well as building supplies. tesa is active in 100 countries and operates plants in Germany, Italy, China, the USA, and in Vietnam.
tesa SE is advancing toward an Autonomous Enterprise by driving operational excellence and AI-readiness through a global transformation with SAP S/4HANA, spanning all affiliates worldwide. By standardizing end-to-end processes and establishing a single source of truth for finance and operations, the company is reducing complexity, increasing transparency, and strengthening control—laying the foundation for data-driven, intelligent decision-making.
Since its S/4HANA transition in 2021, tesa has been rolling out a global template platform that harmonizes systems and enables cross-domain data integration across SAP and non-SAP landscapes. This unified and real-time data foundation is a critical enabler for autonomous, AI-driven processes. With its first AI use case live and further SAP AI use cases in implementation, tesa is progressively embedding intelligence into its core business functions. By evolving toward a scalable, hybrid, AI-ready data architecture, the company is positioning itself to automate workflows, augment decision-making, and continuously optimize operations—bringing the vision of the Autonomous Enterprise to life and unlocking sustained innovation and enterprise-wide value creation.
"With our unified S/4HANA digital core and an AI-ready, hybrid data architecture, we are moving from isolated pilots to enterprise-wide AI, turning real-time insight into continuous advantage and setting the stage for our next transformational phase."
- Alexander Klauk, Head of SAP CoE, tesa SE
One global digital core
Via a standardized enterprise-wide S/4HANA platform
10+ AI use cases
Live on hybrid SAP/Snowflake data platform, many further in implementation
Hybrid, AI-ready data architecture positions tesa to lead digital innovation
Before: Challenges and opportunities
- Data and operations globally distributed across more than ten localized ERP systems
- Siloed data limited visibility and hindered real-time, intelligence-driven decisions
- Slow analytics and manual integration delayed end-to-end automation
- Need for a unified, AI-ready digital and data foundation to enable Autonomous Enterprise capabilities
Why SAP and Snowflake
- Established unified global digital core on S/4HANA by harmonizing processes and data across regions
- Integration of SAP and non-SAP data landscapes through ramp-up of SAP Business Data Cloud and integration with existing Snowflake data lake - laying the groundwork for scalable Joule and AI-embedded operations
- Empower the business with context-aware, governed AI to support proactive decision-making and drive intelligent automation at scale
After: Value-driven results & AI at scale
- Single source of truth enabling standardized processes and real-time decisions
- AI-ready foundation supporting autonomous execution and continuous optimization
- Multiple AI use cases advanced, with first pure SAP AI use case live
- Advancing toward the Autonomous Enterprise through SAP Business Data Cloud, Snowflake, and SAP Signavio, driving transparency, actionable insights, intelligent automation, and new AI use cases