Many SAP customers are currently exploring SAP Joule and SAP Business AI. In practice, however, certain challenges arise when implementing AI.
In companies’ legacy SAP landscapes, identities, users, and roles are often scattered across different systems. Single sign-on works in some cases, but not comprehensively. What’s missing is a centralized view of identities across all systems. Under these conditions, artificial intelligence cannot realize its enormous potential.
What needs to be done? For SAP Joule to function across systems, the AI co-pilot requires a certain context regarding users, their roles, and their authorizations in the various systems. Without this information, SAP Joule remains isolated within individual systems, can only be used to a limited extent, and cannot generate any added value.
SAP systems “speak” the same identity
SAP Joule correctly identifies users across systems
Roles, authorizations, and contexts are consistent
Artificial intelligence is capable of operating securely, contextually, and scalably
SAP user companies often have multiple identity sources and inconsistent user IDs, manage user data locally within individual systems, and use different authentication methods. However, SAP Joule is designed as a unified AI copilot that – embedded in a variety of SAP systems such as SAP S/4HANA, SAP SuccessFactors, SAP Ariba, SAP Concur, and other SAP cloud solutions—truly shines when working across systems.
As a result, system landscapes quickly reach their limits when it comes to AI usage – not for technical reasons, but due to fragmented identity & access structures.
Analysis of the SAP BTP landscape
Analysis of SAP Identity Authentication Service (IAS)
Analysis of provisioning (SAP IPS, SAP IDDS)
Analysis of Identity & Access Management (IAM)
Documentation of the current landscape and creation of an action plan based on it regarding:
Landscape
Provisioning
Authorization management
Migration from SAML 2.0 to OIDC Trust
Migration of Entra ID–SAML 2.0 Trust to IAS OIDC with IdP Federation
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