Use case / AIGIS resources
The enterprise AI problem is not one assistant per system. It is one governed way to ask questions and take actions across the systems that run the business.
Executive read
AIGIS resolves user identity separately for each connected system.
Queries run in parallel but permissions remain system-specific.
The LLM receives merged, filtered, permission-safe context.
Every answer includes provenance for the systems touched.
Analysis
A user might ask why a major customer is at risk. The answer may require open opportunities from Salesforce, delivery delays from SAP, incident history from ServiceNow, and margin rules from a warehouse.
AIGIS routes that single request across systems while preserving each system's permissions and data boundary.
The same human can have different identities and permissions in Salesforce, SAP, ServiceNow, and a database. AIGIS does not assume one identity works everywhere.
If the user cannot be mapped in a system, that system is excluded. The platform fails closed and records the exclusion.
After results are filtered and merged, AIGIS sends the governed context to the selected LLM. The response can cite what it used without leaking what was denied.
The audit ledger keeps the proof: which systems were touched, what access was checked, what fields were stripped, and which model generated the response.
Comparison
Keep reading
Comparison
Compare AIGIS with Salesforce Agentforce for cross-system AI governance, field-level permissions, model choice, deployment model, and enterprise stack cost.
Comparison
AIGIS is a ServiceNow Now Assist alternative for enterprises that need governed AI across ITSM, CRM, ERP, databases, and data warehouses.
Comparison
AIGIS gives SAP-heavy enterprises a model-agnostic AI governance layer across SAP, Salesforce, ServiceNow, databases, and warehouses.