Please create a 1 slide overview of the following AI proof of concept: Objective The objective of this pilot is to establish a reliable, evidence‑based foundation for SAP S/4HANA transformation readiness in North America by leveraging Integral’s automated analysis of real SAP ECC system behavior and delivering a prioritized, functionally governed ECC non‑regression baseline with clear visibility into S/4HANA readiness. Concretely, the pilot aims to: ● Reconstruct how Source‑to‑Pay processes actually execute in ECC using production evidence rather than theoretical documentation. ● Automatically generate structured non‑regression test scenarios from these real execution patterns. ● Prioritize these scenarios based on historical usage, business criticality, and operational risk signals. ● Provide a governed review and validation framework allowing functional ownership, comments, and approval workflows. ● Deliver clear visibility into functional differences between ECC and the available S/4HANA SKNA configurations, including support for manual ECC→S/4 functional mapping where required. This pilot is intentionally limited to capabilities that are already production‑reliable today, while laying the groundwork for future automation of ECC→S/4HANA transformation intelligence and S/4‑native validation. Any new feature released by Integral between now and the pilot execution will automatically be included within the pilot scope.
Please create a 1 slide overview of the following AI proof of concept:
Objective
The objective of this pilot is to establish a reliable, evidence‑based foundation for SAP S/4HANA transformation readiness in North America by leveraging Integral’s automated analysis of real SAP ECC system behavior and delivering a prioritized, functionally governed ECC non‑regression baseline with clear visibility into S/4HANA readiness.
Concretely, the pilot aims to:
● Reconstruct how Source‑to‑Pay processes actually execute in ECC using production evidence rather than theoretical documentation.
● Automatically generate structured non‑regression test scenarios from these real execution patterns.
● Prioritize these scenarios based on historical usage, business criticality, and operational risk signals.
● Provide a governed review and validation framework allowing functional ownership, comments, and approval workflows.
● Deliver clear visibility into functional differences between ECC and the available S/4HANA SKNA configurations, including support for manual ECC→S/4 functional mapping where required.
This pilot is intentionally limited to capabilities that are already production‑reliable today, while laying the groundwork for future automation of ECC→S/4HANA transformation intelligence and S/4‑native validation. Any new feature released by Integral between now and the pilot execution will automatically be included within the pilot scope.
Created using ChatSlide
This project aims to establish a pilot focused on evidence-led readiness for the Source-to-Pay process, utilising ECC production data to identify functional differences with S/4HANA. It will generate and assess non-regression scenarios to ensure robustness. Governance will facilitate functional reviews and approvals, providing clear visibility for transformation planning. The pilot will be production-ready, although future automation aspects are not included in this phase.