Use case / AIGIS resources
SAP data is operationally sensitive: orders, vendors, pricing, materials, inventory, and financial context. AIGIS lets that data participate in AI answers only after permissions are verified and inaccessible fields are removed.
Executive read
ERP data should stay in the system of record, not move into an AI shadow store.
AIGIS queries live systems and filters data before prompt construction.
SAP can be governed alongside Salesforce, ServiceNow, and databases in one request path.
Model choice stays separate from governance architecture.
Analysis
Purchase orders, supplier records, pricing terms, inventory state, and finance data often require tighter controls than a generic AI assistant can provide.
AIGIS enforces governance before prompt construction so the model only receives SAP context the user is allowed to know.
A supply chain risk question might need SAP fulfillment data, Salesforce account context, and ServiceNow incident history.
AIGIS routes those requests in parallel, applies each system's access model, and merges only permission-safe context for the LLM.
Companies should be able to choose GPT, Claude, Gemini, Bedrock, or a private model without rebuilding the permission boundary each time.
AIGIS keeps the governance pipeline consistent while model routing remains flexible.
Comparison
Keep reading
Comparison
AIGIS gives SAP-heavy enterprises a model-agnostic AI governance layer across SAP, Salesforce, ServiceNow, databases, and warehouses.
Architecture
A practical architecture for enterprise AI governance middleware: identity resolution, live record checks, field stripping, model routing, write approvals, and audit provenance.
Use case
AIGIS routes questions across Salesforce, SAP, ServiceNow, databases, and warehouses while enforcing each system's native permissions.