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bookmap_Exploring_AI_Capabilities_in_SAP_LeanIX_en-US_learning-sap-com_lsc-prod.zip (MMCP-DROPZONE) - 2026-10-27T09:26:40.000Z

Exploring the AI Capability Landscape - Non-Agentic and Agentic AI in SAP LeanIX

Activating AI Capabilities, and Understanding Responsible AI

Understanding AI in SAP LeanIX: Framework and Responsible AI

Exploring Base AI Capabilities

Applying AI-Assisted Automations, Calculations, and Architecture Decisions

Leveraging AI-Assisted Architecture Guidance

Leveraging Inventory Builder for Accelerated Data Import

Working with AI Capabilities

Leveraging the EA Assistant in SAP LeanIX

Exploring AI Capabilities in SAP LeanIX

<p>This course covers the full spectrum of AI capabilities in SAP&nbsp;LeanIX&nbsp;-&nbsp;from base features including inventory AI prompts, AI-assisted text, automations, architecture guidance,&nbsp;to premium features such as&nbsp;the inventory builder&nbsp;and&nbsp;the agentic EA Assistant for multi-step tasks. Learners orient themselves in the capability framework, activate features in line with SAP's responsible AI principles, and apply each capability through hands-on examples in a demo workspace.</p>

This badge verifies that the learner has completed the course "Exploring AI Capabilities in SAP LeanIX " on Intermediate level. The learner is able to upon completing this course, you will be able to: 

 * Distinguish between non-agentic embedded AI capabilities and the agentic EA Assistant in SAP LeanIX, and explain how to activate each. 

 * Apply base AI features - including inventory AI prompts, AI-assisted text, AI-generated context, AI-supported translation, and fact sheet data recommendations - to reduce manual effort and improve data quality. 

 * Leverage AI-assisted architecture guidance, AI-assisted automations, AI-assisted calculations, and the inventory builder to identify portfolio improvement opportunities and lower the barrier to entry for non-technical users. 

 * Use the EA Assistant to assist in completing multi-step EA tasks through natural language, workspace knowledge, architecture decisions, and connected data sources.