SciTransfer
WASABI · Project

AI-Powered Digital Assistants to Simplify Complex Software for Manufacturing Workers

manufacturingTestedTRL 5

Imagine having a helpful digital buddy that talks you through using a complicated computer program, so you don't need to be a tech expert to get the job done. It's like having a GPS for professional software that tells you exactly where to click or what to do next. This means workers can keep their hands on their tools and their eyes on the product while the AI handles the technical navigation.

By the numbers
18
partners
10
SMEs in consortium
56%
industry ratio
The business problem

What needed solving

SMEs struggle to use advanced software because the technical skill required is too high for the average worker. This creates a gap between the power of the tools and the actual performance of the workforce.

The solution

What was built

A Digital Intelligent Assistant (DIA) with a conversational interface and a white-label shop (including a PrestaShop template) to distribute AI skill-packages.

Audience

Who needs this

SME manufacturing plant managersIndustrial software providersDigital Innovation Hubs (DIHs)Vocational training centers for industry
Business applications

Who can put this to work

Automotive Parts Manufacturing
SME
Target: Precision machining SME

If you are a precision machining SME dealing with workers who struggle to use complex CNC management software — this project developed a Digital Intelligent Assistant (DIA) that lowers the skill floor through a conversational interface.

Industrial Electronics
mid-size
Target: Mid-sized circuit board assembler

If you are a mid-sized circuit board assembler dealing with high training costs for new software tools — this project developed augmented hybrid-decision-making interfaces that guide employees through action planning and execution.

Textile Production
SME
Target: Smart fabric manufacturer

If you are a smart fabric manufacturer dealing with the need for hands-free computer interaction on the shop floor — this project developed a task-oriented AI that provides AI-based advice and augmented analytics.

Frequently asked

Quick answers

What is the cost or pricing model for this solution?

Based on available project data, the specific pricing is not mentioned, but the project is building a white-label shop to distribute these AI assistants and skill-packages.

Can this be scaled to a large industrial level?

Yes, the project utilizes a network of Digital Innovation Hubs (DIHs) to boost impact and guide SMEs in adopting these tools across different organizations.

How is the IP or licensing handled?

Based on available project data, the solution is being developed as a white-label shop, suggesting a model where the technology can be rebranded or licensed for different users.

How does this integrate with existing software?

The project creates interfaces that sit on top of complex software to simplify interactions, including a PrestaShop template to support the delivery of these solutions.

What is the timeline for deployment?

The project runs from 2023-03-01 to 2027-02-28, with initial implementations and demonstrations already planned in the deliverables.

Consortium

Who built it

The consortium is heavily weighted toward commercial application, with a 56% industry ratio comprising 10 SMEs and 10 total industry partners. With 18 partners across 9 countries, the project has a strong European footprint and a high concentration of small-to-medium enterprises, ensuring the developed AI assistants are grounded in real-world SME operational needs rather than just academic research.

How to reach the team

Contact CONSULTORES DE AUTOMATIZACION Y ROBOTICA SA in Spain

Next steps

Talk to the team behind this work.

Contact us to explore the WASABI white-label AI shop for your manufacturing plant.

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