Institutional Memory
Build knowledge graph of YOUR application layer that never leaves the organization
An overview of how SASA automates SAP delivery through AI-driven design, development, testing, and governance.
Every enterprise SAP landscape is unique. Over decades, custom business logic has become scattered across the tribal knowledge of senior consultants, making it difficult to access, document, or standardize.
Generic AI lacks awareness of your SAP landscape so outputs fail in real-world SAP environments
They generate isolated code and lack continuous learning & technical depth, leaving most of the SDLC to humans
Your code, business logic, and SAP data sent to external cloud leading to compliance risk and IP exposure
Build knowledge graph of YOUR application layer that never leaves the organization
Continual learning from your patterns and feedback
Generates SAP-trained code, tests, and docs aligned with clean core, S/4HANA, BAPIs, IDocs
Connectors from JIRA, Confluence, and Agent Marketplace allows the extension of SASA to enhance SDLC automation
End-to-end quality built in across the full SDLC ensuring nothing is missed and never leaves your security boundary
Not restricted to prompt-based usage. Operates as a semi-autonomous agent system
Enterprise memory allowing consultants shift from manual work to innovation driving sustained productivity gains.
Unlike generic AI that returns code fragments,
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SASA connects to your SAP landscape, learns your patterns and rules, and builds a knowledge graph from your Z-tables, naming conventions, developer guides, and custom entities.