How it works.

Three layers: Understand the job, observe the work, prepare the record.

Layer 1

Understand the work before it starts.

Upload the CMM, work card, or supporting manuals. The platform reads the source material, identifies the relevant procedure steps, and structures measurements, tolerances, go and no-go checks, tool callouts, and configuration variants into a usable job template.

Assembly, sub-assembly, and item relationships stay tied to the right procedure context. Torque specs, matched-set flags, safety-wire requirements, and visual checks stay attached to the step that needs them.

01Source docs

02Required steps

03Evidence fields

Each job stays tied to the source procedure version used when the work began.

Layer 2

Observe without changing the work.

The mechanic or inspector picks the part and work order, puts on smart glasses or another head-mounted camera, and starts the job. From there, the platform observes while the person does the work normally.

01
Pick part and work order.
The right procedure context loads on a tablet, laptop, or nearby workstation.
02
Start capture.
Glasses or a head-mounted camera record video and close-mic audio as the job proceeds.
03
Observe.
The platform maps tools, parts, gauge readings, photos, and spoken measurements to the required steps.
04
Review and sign.
The authorized mechanic, inspector, or reviewer checks the record and signs. AI does not approve the work.

Layer 3

Prepare records that humans can trust.

Exceptions-only review. Reviewers see the problems first: out-of-spec measurements, findings that need attention, and items the platform could not match confidently.
Every measurement traces back to its source. Each number can link to the video frame, audio moment, photo, or manual entry that produced it, with the user, timestamp, and method attached.
Human signoff stays in control. When the authorized person signs, the reviewed record is retained for audit and operational review. The AI prepares the record. It does not certify the job.

The same evidence trail can support the operational metrics teams already want: inspection time, rework, reviewer load, and handover quality across shops and fleets.