4 minute read
Key Takeaways
What you need to know
Focus on what you can execute on ECC now Treat S/4HANA and Joule as important, but not a prerequisite: there is a meaningful portfolio of AI use cases you can implement directly on ECC and hybrid landscapes today. Prioritize scenarios where AI can close the loop inside existing ECC processes (e.g., order-to-cash, procurement, maintenance) instead of waiting for a “clean core” project to finish.
Target AI-enhanced apps, not just chatbots Use AI to generate full applications and flows (Prompt-to-Application), including UI, logic, and SAP connectivity, so that AI output is immediately executable in ECC. Anchor your roadmap around concrete app patterns: document-heavy workflows, offline-capable field apps, transactional Fiori-style apps, and AI-assisted developer tools (documentation, specs, tests).
Define a small set of ECC-centric use cases Identify 3–5 ECC use cases where AI can materially reduce effort or risk: AP automation, maintenance notifications, sales order handling, master data corrections, or SAP-side integrations with external systems. Tie each use case to KPIs that matter in ECC environments (backlog, cycle time, error rates, manual touches) and make those the primary success metrics
Many SAP teams assume AI starts after migration. The reality is different. Learn what AI for SAP ECC looks like today, what works, and how to build value before S/4HANA.
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