Private AI for plant managers.

See what is constraining the next shift

Separate equipment, material and scheduling causes of lost production and compare feasible recovery plans.

Inputs: Machine availability, work-order status, output, scrap, staffing constraints and material readiness.

From observation to completed task

Prepare an exception dashboard and assign approved follow-ups to maintenance, production or purchasing.

Organise shift issues into an operational-review brief

The supporting records include approved shift reports, maintenance summaries and action logs.

Managers verify live conditions and decide actions.

The systems involved

MES, CMMS and planning-system interfaces with consistent shift and asset definitions.

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

Managers approve priorities; compare recovered capacity with overtime, rework and safety constraints.