Industry
Digital work instructions for manufacturing: fewer errors, higher OEE
Digital work instructions for manufacturing: faster changeovers, fewer assembly errors and higher OEE. AI turns your SOPs into AR guidance on the line.

In short
Digital work instructions in manufacturing replace binders and PDFs with step-by-step guidance at the workstation. Actarion uses AI to convert your SOPs and assembly instructions, and AR to show each step on the machine. The result: faster changeovers, fewer assembly errors, quicker onboarding and data that helps raise OEE.
How it works on the shop floor
How do you start a pilot in manufacturing?
- 1
Pick one line and two or three tasks
with visible pain: a frequent changeover, an error-prone assembly step or a long onboarding.
- 2
Convert the existing SOPs
with AI and have the line lead check the steps at the machine.
- 3
Train a small group
of operators and one team leader as key users.
- 4
Measure
changeover time, first-time-right rate and time to competence against a baseline of several weeks.
- 5
Decide on scale-up
with the data, and train your own authors for the next lines.
What challenges do manufacturers face?
- More variants and smaller batches, so more changeovers and more chances for error.
- OEE losses from long, unpredictable changeovers and minor stoppages.
- Experienced operators leaving, and new staff who need months to learn.
- Instructions that lag behind engineering changes.
Which standards apply?
- ISO 9001 asks for controlled documented information (clause 7.5) and proof of competence (clause 7.2). Digital instructions with version control and a skills matrix support both.
- ISO 45001 requires controls for hazardous tasks, such as energy isolation during maintenance.
- IATF 16949 for automotive suppliers adds strict requirements on work instructions at the workstation.
Use cases in manufacturing
| Use case | Problem it solves | KPI |
|---|---|---|
| Changeover / SMED | Long, variable changeovers | Changeover minutes, OEE availability |
| Assembly | Variant errors, rework | First-time-right rate |
| Onboarding & training | Slow ramp-up | Time to autonomy |
| Preventive maintenance | Unplanned stops | MTBF, PM compliance |
| Quality inspections | Defects found late | Defects at source |
| Safety & LOTO | Missed isolation points | LOTO compliance |
Results you can expect
Shorter changeovers, fewer errors and faster onboarding. Figures depend on your baseline.
Anonymized case
A food producer started with training, changeovers and inspections, digitizing the procedures with the most variation first. Read the cases.
The duration of a first pilot depends on scope and site. See the pilot approach for the full method.
How Actarion helps
- AI turns existing SOPs, drawings and videos into digital instructions in days.
- AR guidance at the workstation on a tablet or AR glasses.
- Step timing and deviations give input for OEE improvement.
- Skills matrix shows who can run which machine.
- Pilot with fixed KPIs, then roll out across lines and sites.
- Scope
- 1–2 lines, 1 process
- Duration
- 6–8 weeks
- KPIs
- Manufacturing
- Prerequisite
- baseline across several shifts
Frequently asked questions
Not for a pilot. Integrations through the API or CSV export can follow when you scale.
Acceptance is highest when operators help build the instructions. We involve them from the start of the pilot.
The line with the most changeovers or the most errors, so the effect is easy to measure.


See your own process as a digital work instruction.
In 30 minutes we look at your process, your numbers and the fastest route to a measurable pilot. No sales pitch, just concrete advice.



