Private AI for managed-service providers.

Resolve the ticket without mixing clients

Correlate incidents and select approved diagnostics for the affected client environment.

Inputs: Client-authorised tickets, inventories, monitoring events and runbooks.

From observation to completed task

Gather permitted evidence, create tasks and run approved low-risk fixes with rollback.

Prepare a client-specific operational handover

The supporting records include approved runbooks, service records and support agreements.

Staff verify changes and preserve client boundaries.

The systems involved

Tenant-isolated credentials, service-management APIs and controlled remote tooling.

SOS AI configures the local models and tool permissions for this workflow. Actions in business software follow the authority you approve; uncertain cases and actions outside those limits go to the responsible person.

What a useful result must get right

Engineers approve risky changes; test tenant isolation and failed-action recovery.