ISLM — Operationalising Embedded AI in S/4HANA

What you will learn

• Define what an intelligent scenario is in SAP's own terms, and explain how ISLM standardises the integration and consumption of intelligent scenarios in S/4HANA
• Distinguish embedded from side-by-side AI using SAP's own definitions, and classify a PAL/APL model (the PAL and APL hands-on modules) versus a generative AI hub scenario correctly
• Name ISLM's two Fiori applications (Intelligent Scenarios, Intelligent Scenario Management) and what each one is responsible for
• Explain ISLM's lifecycle operations — scheduled training/retraining, deployment and activation — and how activation control differs from hana-ml's ModelStorage.set_schedule()
• Describe what the ABAP AI SDK lets a developer embed into a custom ABAP application, and how it relates to ISLM
• Scope an ISLM delivery correctly by checking SAP-delivered scenarios, prerequisites and limitations before committing a timeline

Module overview

Who this is for. You have trained a model with PAL or APL, saved and versioned it with hana-ml's ModelStorage, and now face the question every one of those modules deferred: how does S/4HANA itself, not your notebook, come to consume that model in a live business process. This module answers that with Intelligent Scenario Lifecycle Management (ISLM), S/4HANA's own framework for exactly this step. Work through it with an S/4HANA system or documentation access if you can reach one; every exercise also has a paper-only path.

Prerequisites

• SAP HANA PAL Hands-On, SAP HANA APL Hands-On and hana-ml Hands-On, or equivalent experience training and governing a model
• Basic familiarity with S/4HANA's Fiori launchpad and ABAP terminology
• Optional: access to an S/4HANA system or its ISLM documentation to work through the exercises hands-on rather than on paper

Outcomes

• Explain to a client, correctly, what an intelligent scenario is and why ISLM — not a notebook or ModelStorage alone — is the production path for an embedded model.
• Classify any given SAP AI use case as embedded or side-by-side using SAP's own definitions, without guessing.
• Map a PAL or APL model onto ISLM's two Fiori apps and describe what activation control adds over ad hoc scheduling.
• Scope an ISLM delivery responsibly by checking SAP-delivered scenarios, prerequisites and limitations first.