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Sectors/Engineering & Technical Services

AI to multiply the value of technical knowledge

Artificial intelligence makes it possible to make the most of the knowledge generated in each project, making it easier to reuse and helping teams take on new work and make technical decisions.

At LurNova we apply AI to make teams’ work easier throughout the different phases of a technical project.

Every project poses a different challenge, but it rarely starts from scratch. Behind it lie years of experience, decisions, solutions and technical work that can add value to the next one.

Reports, specifications, drawings, requirements and deliverables capture an important part of that experience, but finding the right precedents and understanding why certain decisions were made is not always easy.

Every project can build on what was learned in the previous ones

An organisation may have solved hundreds of technical problems. The difficulty lies in finding which past experiences may be relevant to a new project.

AI makes it possible to relate current needs to previous projects, solutions and decisions, retrieving precedents that can serve as a reference and providing context from the earliest stages of the work.

In this way, accumulated experience is no longer tied to isolated projects and can keep adding value in the next ones.

A new tool for technical work

Interpreting requirements, cross-checking specifications, reviewing changes or preparing documentation means analysing and relating large amounts of information throughout a project.

AI can support these tasks, helping professionals find relevant information, spot differences, relate requirements and prepare content for later review.

Technical judgement and decisions remain in the hands of professionals. AI reduces the effort spent working with information, freeing more time for the tasks that require their expertise.

Use cases in engineering and technical services

01Requirements analysis

To identify, structure and relate technical conditions from the earliest stages of a project.

02Previous projects and solutions

To find precedents and experience that can serve as a reference for new challenges.

03Comparing specifications and versions

To detect changes, differences and inconsistencies that need review.

04Preparing technical bids

To retrieve precedents and support the preparation of proposals based on existing projects and experience.

05Applicable regulations and requirements

To find and relate the information relevant to each project.

06Reports and deliverables

To support the preparation, structuring and review of documentation before it is validated.

07Tracking changes and decisions

To keep the context and make the decisions taken during the project traceable.

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Frequently asked questions

How can artificial intelligence help in engineering and technical services?

AI makes it possible to make the most of the knowledge generated by each project. It helps retrieve, connect and reuse reports, specifications, drawings, requirements and deliverables, so that professionals work with more context throughout the different phases of a project.

Can AI find previous projects and solutions to use as a reference?

Yes. It can relate the needs of a new project to previous projects, solutions and decisions, retrieving precedents that can serve as a reference from the earliest stages of the work.

Can AI compare specifications and document versions?

Yes. It can detect changes, differences and inconsistencies between specifications and versions, and flag what needs to be reviewed by professionals.

Can it help prepare technical proposals, reports and deliverables?

Yes. It can retrieve precedents, structure information and support the preparation of proposals, reports and deliverables based on existing projects and experience, always before they are reviewed and validated.

Does AI replace professionals' technical judgement?

No. Technical judgement and decisions remain in the hands of professionals. AI reduces the effort spent finding and working with information so that they can focus on the tasks that require their experience.

How does AI help keep project decisions traceable?

It can preserve the context of the changes and decisions made during a project and relate them to the applicable requirements and regulations, making it easier to understand later why each decision was taken.

Other sectors

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AI applied to engineering challenges

Every technical project starts from different requirements, knowledge and constraints. Tell us which challenge you want to tackle and we will analyse how to apply AI to give it an answer tailored to your organisation.