Private AI for managed it providers.

Connect the operational symptom with an approved diagnostic task

Detect unusual behaviour, compare recent changes and propose reproducible diagnostics.

Inputs: Authorised metrics, logs, configuration history, tickets and internal runbooks.

From observation to completed task

Gather permitted evidence and run approved low-risk service actions with rollback.

Draft a client handover from approved service records

The supporting records include approved client runbooks, asset notes and service agreements.

Engineers verify details and maintain client boundaries.

The systems involved

Monitoring and service APIs, least-privilege credentials and controlled execution.

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 failed actions, permission limits and restoration.