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Sensor data stops at an operations dashboard. For an equipment state change to reach accounting, a person separately triggers revaluation and work orders. Physical and book worlds stay apart.
Detecting efficiency loss proposes a revaluation; on approval the ledger updates and the cash forecast re-runs. Remaining-useful-life predictions auto-dispatch into work orders. Physical state feeds back into book value automatically.
A sensor detects efficiency loss and starts the loop.
The twin surfaces the affected asset and state change.
AI computes a revaluation and remaining useful life and proposes.
On approval the ledger updates and work orders dispatch.
The cash forecast re-runs and every decision is logged to the trail.