Comparison / AIGIS resources
Joule is built for the SAP estate. AIGIS is built for the operational reality around SAP: CRM, ITSM, data warehouses, and custom systems that all need permission-aware AI access.
Executive read
Joule is strongest for SAP-native work.
AIGIS can include SAP in a broader governed query path.
AIGIS never copies ERP data into a new AI data lake.
Customer-hosted deployment keeps governance inside the customer's cloud boundary.
Analysis
ERP data is operationally sensitive. Purchase orders, pricing, supplier risk, inventory, and financial records should not be duplicated into an AI shadow store just to answer a question.
AIGIS queries live systems, strips inaccessible fields, and logs the permission decision behind each result. The data remains where the system of record already governs it.
The most valuable enterprise questions often cross the boundary between SAP and other systems. A sales leader may need account context from Salesforce, fulfillment status from SAP, and incident history from ServiceNow.
AIGIS routes the request across all connected systems in parallel, while preserving each system's native security posture.
Enterprise AI vendors tend to bundle governance, workflow, and model selection together. AIGIS separates those concerns.
The governance layer stays consistent while the customer chooses Claude, GPT, Gemini, Bedrock, or a private model. That gives infrastructure teams room to negotiate as model quality, cost, and availability change.
Comparison
Keep reading
Architecture
A practical architecture for enterprise AI governance middleware: identity resolution, live record checks, field stripping, model routing, write approvals, and audit provenance.
Architecture
Why LLM field-level security should remove inaccessible fields before prompt construction instead of sending masked placeholders to the model.
Use case
AIGIS routes questions across Salesforce, SAP, ServiceNow, databases, and warehouses while enforcing each system's native permissions.