Zero-error manual workstations.
Real-time operator guidance with every assembly step validated. Catch errors before they ship and train operators in hours, not weeks, at 99.9% accuracy.
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Ready for next station
- assembly accuracy
- 99.9%
- assembly accuracy
- defect rate reduction
- −98%
- defect rate reduction
- operator training time
- 2-4 h
- operator training time
- rework costs
- −90%
- rework costs
A digital co-worker beside every operator.
Real-time visual guidance for manual assembly workstations. It validates every component, checks placement, verifies the sequence and blocks errors before parts move to the next station.
The problem with manual assembly
Manual- High error rate Manual assembly defects run at 3% to 5%: wrong parts, missing components, incorrect sequence.
- Slow training New operators need 2 to 4 weeks to reach full productivity.
- Inconsistent quality Each operator works slightly differently, so defect rates vary.
- Rework costs Assembly errors caught downstream cost 5 to 10 times more to fix.
- No real-time feedback Operators often do not know they made a mistake until quality finds it, hours later.
- High labour burden Supervisors spend their time reviewing work and mentoring operators.
Why the AI Copilot works
CopilotComputer vision validates every assembly step in real time. The AI sees what the operator does, compares it with the correct process and gives instant feedback. If something is wrong, the process is blocked: no part moves forward until the error is corrected.
- Real-time validation Every component is verified as it is placed.
- Instant feedback Operators know immediately when something is wrong.
- Error blocking Wrong parts, missing components and incorrect sequence are all caught before they cause rework.
- Rapid training New operators are productive in hours, because the AI guides every step.
- Consistent quality 99.9% accuracy, regardless of operator experience.
Real operator guidance, on a real kit.
Watch an operator assemble a kit with AI Copilot guidance: real-time validation, visual feedback and error prevention.
- Every component checked as it is placed
- Wrong part or sequence stops the workflow
- Operator sees what the AI sees
AI Copilot assembly: real operator guidance in action Seven steps, validated frame by frame.
The system runs in real time and checks every action the operator takes.
- 01
Read the kit list
The Copilot shows the kit assembly task on the operator’s screen: the components needed, the quantities and the sequence.
- 02
Guide each step
“Pick component A (shown with an arrow) and place it in position 1 (highlighted in the workstation image).”
- 03
Validate in real time
As soon as the component is placed, computer vision recognises it and checks the placement: correct position, correct orientation, correct component.
- 04
Give instant feedback
A green check when it is right. A red alert, with guidance, when an error is detected.
Correct Error detected - 05
Block errors
If the wrong component is picked or misplaced, the workflow stops. The operator corrects it before moving on.
- 06
Confirm completion
When every component is placed correctly and in sequence, the system validates the kit as complete: ready for the next station.
- 07
Log the data
100% of assembly data is captured: operator, timestamp, components, placements, and every error caught and corrected.
From the first pick to the last clip.
Six things the Copilot checks at the workstation, each linked to an application in detail.
-
Component picking
Which part to pick next. The AI highlights the correct component in the bin or on the shelf, which prevents wrong-part errors.
Learn more -
Placement validation
Is the component in the right position, the right orientation and at the right depth? The AI checks all three instantly.
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Sequence verification
When components must go in a specific order, the AI enforces the sequence and prevents errors downstream.
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Quantity checking
How many of each component? The AI counts as parts are placed, which prevents under- and over-assembly.
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Assembly integrity
Screws tight? Clips fully seated? Wires connected? The AI validates that the mechanical assembly is correct.
Learn more -
Instant training
New operators do not need weeks of training. The AI trains them on the job, in real time, every day.
Learn more
The PIQAPART Assembly interface, as the operator sees it.
A screencast of exactly what operators see on their screen: real-time visual feedback, validation and error prevention.
PIQAPART Assembly interface: inside the operator experience ROI in 8 to 12 weeks on the first line.
What most manufacturers see after deploying on their first production line, against manual assembly.
| Metric | Manual assembly | With AI Copilot | Annual impact |
|---|---|---|---|
| Assembly defect rate | 3-5% | 0.1% | −€150k to €300k rework |
| Operator training time | 2-4 weeks | 2-4 hours | −€20k to €50k training costs |
| Cycle time per kit | 15-20 min | 10-12 min | +€50k to €100k throughput |
| Supervisor review time | 2-3 h a day | 30 min a day | −€60k labour reallocation |
| Rework and scrap | €80k-120k a year | €8k-12k a year | −€72k to €108k direct savings |
| Monthly software cost | n/a | €2,800 | −€33.6k a year |
- Total annual benefit
- €250k to €550k
- Payback period
- 8-12 weeks
- ROI
- 250-550%
From a 3% defect rate to 0.1%.
Six manual workstations, twelve operators, and rework eating 15% of the labour budget. Results from the first 12 months.
6 manual assembly workstations and 12 operators. Assembly defect rate of 3% to 5%. Rework consumed 15% of the labour budget, and new operators needed 3 weeks of training before they were productive.
The AI Copilot went onto the first 2 workstations: real-time operator guidance, component validation and error blocking. Full rollout to all 6 workstations followed within 8 weeks.
- Assembly defect rate
- 0.1%
- from 3.2% · −97%
- Rework labour
- 1.2%
- of total, from 15% · −87%
- Training time
- 4-6 h
- per new operator, from 3 weeks · −90%
- Throughput
- +12%
- fewer stops for rework
- Scrap and rework costs
- €8k
- a year, from €80k · −90%
- Supervisor review time
- −80%
- cut by 80%
- Total annual benefit
- €380k
- first 12 months
- ROI payback
- 9 weeks
OutcomeThe manufacturer won a new customer contract on the strength of its quality and faster delivery, and is now planning the rollout to 3 more facilities.
More case studiesProve the ROI on one line, then scale.
Start on your highest-volume or highest-defect assembly line. Prove the ROI in 2 to 4 weeks, then roll out to the remaining lines.
- Week 1
Assessment
We audit your assembly process, defect patterns and training needs, and build a detailed ROI model showing where the AI Copilot delivers the most value.
- Weeks 2-3
POC deployment
The AI Copilot goes onto one workstation, with real operators and real kits. You see results immediately: the defect rate drops and operators learn faster.
- Week 4+
Multi-workstation rollout
Expand to the remaining assembly lines, train your teams and integrate with MES for traceability. 100% visibility across all assembly operations.
Deploying AI Copilot: setup, training and go-live Works with your existing workstations.
No equipment replacement. The AI Copilot installs above your existing assembly workstations with a monitor and a camera. Your tables, bins and tools stay exactly as they are, and the ROI happens at the software layer.
The video shows how we integrate the AI Copilot into an assembly line and train your operators to use it.
Ready to deploy the AI Copilot?
Book a free assembly assessment. We analyse your current defect patterns and show you the exact ROI for your workstations.
- parts or photos
- 20
- parts or photos
- days to results
- 5-7
- days to results
- no commitment
- €0
- no commitment
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