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.
AI-Powered Digital Assistants to Simplify Complex Software for Manufacturing Workers
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.
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.
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.
Who needs this
Who can put this to work
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.
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.
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.
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.
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