Artificial Intelligence for Industrial Maintenance
Webinar 29 October 2026 2:30 PM
AI to reduce machine downtime.
From fault to repair.
Without wasting time searching.
L’AI turns manuals , tickets and maintenance history into knowledge that guides industrial maintenance .
A machine is down. A similar issue has been resolved before, but the procedure is in a manual, the solution in an old ticket, and the spare parts information in another system.
The information is there, but finding it and connecting the dots takes time.
In a live demo you’ll see how AI connects this information and makes it accessible through a natural-language question: from possible causes of the fault to repair procedures, through to the spare part and its location in the warehouse..
Documents describe. AI connects.
AI connects company information in context: which machine, which component, which issue, which procedure. Technicians can access it by asking a question, reducing the effort needed to search across and compare different sources.
At its core is a knowledge graph: a structure that connects machines, components, faults, documents and maintenance activities, making the relationships between them easy to explore.
A practical use case
demonstrated live
We’ll follow a technician’s query and see how the AI assistant pieces together the context and provides the information needed to carry out the repair.
- Describe the problem
The technician asks a question in natural language. - Explore possible causes
AI connects the machine, its components, documentation and previous maintenance activities. - Consult the procedures
The system provides guidance relevant to the problem described. - Identify the spare part
The part number, availability and warehouse location are displayed.
What you’ll learn
during the webinar
We’ll explore what it takes to bring AI into your company’s maintenance operations: from existing knowledge and integration with your systems to future developments.
- How technical knowledge is organised by connecting manuals, tickets and maintenance history into a knowledge base you can query.
- What data you need to get started and how to assess the documentation and information available in your company.
- Which integrations to consider when connecting the solution to systems that manage maintenance and spare parts.
- How to expand the project beyond the initial use case by connecting machine data and introducing further automation.
Discover how AI guides technicians through maintenance tasks.
In a live demo, you’ll see how AI connects manuals, tickets and maintenance history to find the relevant procedures and identify the spare parts needed.
Benefits for
your company
Making manuals, tickets and maintenance history queryable puts your company’s expertise at technicians’ fingertips when they need it.
- Less time spent searching: connected information, without having to piece together the full picture from separate sources.
- Shared expertise: documented maintenance activities become useful even to technicians who were not involved in the original case.
- Greater autonomy: newly onboarded technicians or those starting a new shift can access procedures and solutions already used.
What’s next? Future developments
Once technical knowledge is connected, the project can expand to include machine data and the actions that follow information retrieval.
- Machine and sensor data: analyse signals that may indicate an emerging problem.
- AI agents: support ticket creation, spare parts checks and recommendations for maintenance actions.
- From recommendation to action: integrate AI guidance into maintenance workflows, with defined checks and approvals.
Beyond
maintenance
The same approach works wherever knowledge is scattered across documents, tickets and people.
- Customer support: from enquiry to response, including warranty verification.
- Quality: from non-conformity to corrective action.
- Onboarding: providing new hires with operating instructions and training tailored to their workstation.
- Compliance and certification: from regulatory and standards requirements (ISO, CE) to the documents that demonstrate compliance.
Our value
Understanding the technology is not enough. You need to understand how work gets done on the factory floor: how maintenance activities are managed, what information technicians need, and how maintenance, production and warehouse teams work together.
We combine AI expertise, an understanding of industrial processes and the ability to integrate with business systems to build solutions tailored to operational needs and measure their value in practice.
webinar speakers
Ilaria Giordani
Managing Director Divisione AI, CRPI Digital Group
Matteo Mistri
Senior Data Scientist, CRPI Digital Group
Discover how to apply AI to industrial maintenance
Watch the live demo and discover how to put company information at technicians’ fingertips to support maintenance work and reduce machine downtime.
Participation is free.
The webinar will last approximately 45 minutes, including a Q&A session.