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Sectors/Industry & Manufacturing

AI to put knowledge at the service of operations

Artificial intelligence makes it possible to bring industrial knowledge closer to teams, making it easier to resolve incidents, carry out maintenance and make decisions.

At LurNova we apply AI to make industrial knowledge more accessible and useful in everyday work.

An essential part of that knowledge lives in documentation and systems. The rest has been built up over years through people’s experience.

Manuals, procedures, historical records, specifications and professional experience hold extremely valuable information that is not always available at the time and place it is needed.

Knowledge is also built through experience

Part of industrial knowledge is not written down in any manual. It is built up over the years, by resolving incidents, making decisions and learning from specific situations.

AI offers new ways to preserve, share and reuse that experience, making it easier to pass on between teams and to new generations of professionals.

In this way, the knowledge the organisation has built up can keep adding value beyond the people or teams who created it.

From knowledge to action

AI does more than let you look up information. It can also use it to take part in tasks and processes, interpret documentation, carry out checks or interact with different systems.

We combine AI, automation and agents to develop solutions that can analyse information, cross-check data, query applications or carry out certain actions within the limits set by the organisation.

In this way, knowledge can go from something teams look up to an active part of operations and day-to-day management.

Use cases in industry and manufacturing

01Maintenance and incident resolution

Access to manuals, procedures, historical records and technical experience during diagnosis and intervention.

02Expert knowledge transfer

Preserving and reusing accumulated experience across professionals, teams and new hires.

03Support for plant teams

Looking up technical information and procedures directly from the work environment.

04Technical documentation management

Finding, extracting and comparing information from specifications, data sheets, reports and manuals.

05Quality and procedures

Access to requirements, instructions and past cases to support checks and quality processes.

06Maintenance and engineering support

Retrieving information from previous interventions and projects to use it in new work.

07Automation of operational tasks

Using AI to interpret information and take part in tasks that involve working with different documents, tools or systems.

A technician in glasses and a high-visibility vest carefully inspects a machine mechanism in an industrial plant.

Frequently asked questions

How can artificial intelligence help in industry and manufacturing?

AI brings teams closer to the knowledge held in manuals, procedures, historical records, specifications and the experience of professionals. This makes it easier to resolve incidents, carry out maintenance and make decisions in everyday work.

Can AI help resolve incidents and breakdowns?

Yes. It can provide access to manuals, procedures, intervention histories and technical experience during diagnosis and intervention, so that teams have the relevant information at the time and place they need it.

How is the knowledge of the most experienced professionals preserved?

Part of industrial knowledge is not written in any manual: it is built up over years of resolving incidents and making decisions. AI offers new ways to capture, share and reuse that experience, so it can be passed on between teams and to new staff.

Can AI work with the plant's technical documentation?

Yes. It can find, extract and compare information from specifications, data sheets, reports, manuals and instructions, and support quality processes with access to requirements and precedents.

Is AI only useful for looking up information?

No. Combined with automation and agents, it can take part in tasks and processes: interpreting documentation, cross-checking data, carrying out checks or interacting with different applications and systems, always within the limits set by the organisation.

Can plant teams use AI from their own working environment?

Yes. Solutions can be designed so that teams consult technical information and procedures directly from their working environment, without having to search for it across different sources or systems.

Other sectors

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AI applied to industry's challenges

Every industrial environment has its own challenges and ways of working. Tell us what you want to improve and let's see how to bring AI into your reality.