Use case / AIGIS resources
ServiceNow often owns the workflow. It rarely owns all the data needed to answer an enterprise question. AIGIS lets ServiceNow participate in a governed multi-system AI request without weakening the permission model around the other systems.
Executive read
ServiceNow AI governance needs workflow context plus system-of-record permissions.
AIGIS maps identity into ServiceNow and every other connected system independently.
Human-approved writes require a fresh permission check at confirmation time.
Permission provenance gives security teams an audit receipt for each AI answer.
Analysis
A ServiceNow workflow can involve incidents, assets, changes, requests, and approvals. But the business context may live in Salesforce, SAP, a data warehouse, or a custom database.
AIGIS routes the question across those systems while enforcing each system's native access controls before model context is assembled.
AI-generated workflow updates should not execute just because a model can draft them. The proposal has to be shown to a human, then checked again when that human confirms the action.
AIGIS re-validates write permissions at confirmation time, closing the stale-permission gap between suggestion and execution.
The useful question is not only what the AI answered. It is which systems were queried, which identities were used, what was denied, and which fields were stripped.
AIGIS records that provenance so AI governance can be inspected after the response is generated.
Comparison
Keep reading
Comparison
AIGIS is a ServiceNow Now Assist alternative for enterprises that need governed AI across ITSM, CRM, ERP, databases, and data warehouses.
Architecture
Safe AI writes require explicit approval plus a fresh permission check at confirmation time, not only when the AI drafts the proposal.
Architecture
AIGIS records which systems were queried, which identities were used, which permissions were checked, and which fields were included or stripped.