Customers
Customer cases: AR work instructions in practice
Measured before and after, so you know what to expect.
In short
These customer cases show how industrial companies use AI-generated, AR-guided work instructions to train new staff faster, run changeovers correctly on every shift and document maintenance for audits. The four anonymised cases cover mining, food, pharma and transport. They were realised on the DeepSight platform, which Actarion implements in Europe.
- Customer caseCustomer story
Mining case: AR training and maintenance across sites
A global mining company used AR work instructions to standardize training, maintenance and pre-inspections across its mine sites. Built on the DeepSight platform, the program delivered 40 training courses over three sites, with 3D instructions, remote assistance and operations traceability. Actarion delivers this approach to European operations.
Maintenance and operationsupdated 3 Nov - Customer caseExample case
Food case: AR-guided changeovers and inspections
Standardised SMED across three shifts.
Training and knowledge retentionupdated 3 Nov - Customer caseCustomer story
Pharma case: AR training for changeovers on every shift
An international pharmaceutical company used AR work instructions so night and weekend shifts could perform changeovers correctly without an expert on site. On the DeepSight platform it built 30 training courses that 350 employees can use, with knowledge capture and skills management. Actarion delivers this approach to pharma and biotech sites in Europe.
Digital work instructionsupdated 3 Nov - Customer caseCustomer story
Transport case: AR maintenance training with traceability
A transport and logistics company used AR work instructions to train hundreds of new hires in preventive maintenance and to document every job. On the DeepSight platform it built 20 training courses for two sites, with evaluations, skills management and remote assistance. Actarion delivers this approach to fleet and logistics operations in Europe.
Maintenance and operationsupdated 3 Nov
What do operations teams struggle with before they digitize?
- New hires need weeks of shadowing before they work alone.
- Changeovers on night and weekend shifts go wrong, and the line stands still.
- Maintenance knowledge sits with a few experienced technicians.
- Audits mean hunting for paper records.
Which customer cases can you read?
| Case | Sector | Use cases | Published figures |
|---|---|---|---|
| Training and maintenance across mine sites | Mining | Training, maintenance, pre-inspections | 40 training courses · 3 sites |
| Changeovers and inspections in food production | Food | Training, line changeovers, pre-inspections | 105 training courses · 300 employees |
| Training and changeovers in pharma | Pharma | Training, changeovers, evaluations | 30 training courses · 350 employees |
| Maintenance and traceability in transport | Transport & logistics | Preventive maintenance, traceability, remote assistance | 20 training courses · 2 sites |
All cases are anonymised. They were delivered on the DeepSight platform, which Actarion implements in Europe.
How does Actarion help you get similar results?
- AI authoring: your existing SOPs become step-by-step digital work instructions.
- AR guidance: operators follow the steps on a tablet or AR glasses.
- Audit trail: every execution is logged with time, confirmations and deviations.
- Skills matrix: you see who is qualified for which task.
- Pilot with fixed KPIs: you prove the value before you scale.
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Frequently asked questions
Many industrial customers do not allow their name to be published. We describe the situation, approach and published figures without identifying details.
The cases were realised with our technology partner DeepSight. Actarion is DeepSight's European partner and delivers the same platform and approach in Benelux and DACH.
Ask for it during the intake. Depending on your sector, we put you in touch with an Actarion or DeepSight customer, or walk you through an anonymised case such as the North American food manufacturer.
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