Private AI for managed-service providers.

Spot capacity and equipment issues in context

Detect deviations, forecast capacity pressure and compare proposed operating scenarios.

Inputs: Rack telemetry, power and cooling measurements, capacity histories and maintenance records.

From observation to completed task

Raise a facilities or infrastructure task with the affected assets and evidence.

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

Telemetry connectors, time-synchronised asset data and isolation from safety controls.

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

Operators validate alerts and physical changes; measure useful lead time and false alarms.