The idea already exists, often has for a long time, as a department that could save hours every week or a document process that rests on too few people. What holds it back is choosing the right process, staying within the data protection framework and knowing who will own the tool once it is in place.
Before any implementation, we analyse your processes within the scope you set for us. The result is a report your management can read and verify itself, line by line, backed by your own figures. This assessment is delivered under a triple-fee guarantee, presented below.
Triple-fee guarantee
If the report does not identify at least three times the audit fee in quantified annual savings potential, the audit is not invoiced.
The calculation method is fixed in the quote before we start, and does not change.
Auroplan, developed and operated by us, prepares site reports from a voice note and automatically sorts photos by project. It is a tool we test in real conditions and keep improving ourselves, before offering it to anyone else.
The same standard applies when we set up a system for a larger organisation. The architecture is hosted in Europe, tested before going live and documented for the team that inherits it, and a system we leave keeps running without us.
A general inbox receives dozens of messages a day, and someone has to read them one by one to work out who should reply, before even starting on the request itself.
Each message is sorted by urgency and department, with a draft reply prepared in the right folder, and nothing goes out until someone on your side has approved it.
The sorting time disappears, and urgent requests no longer sit for three days in an inbox nobody has opened.
A file moves through several departments, and a missed deadline is costly, in money or in trust. The tracking often lives in a spreadsheet that two people update differently.
A system tracks each file, alerts before the deadline and centralises the history, and it plugs into what your teams already use, without asking them to change tools.
Delays become visible while a file can still move forward, which changes the moment your team acts.
A tender, a regulation or an administrative file can run to more than a hundred pages, only part of which actually concerns your department. Finding those passages by hand takes skilled time.
A document assistant extracts the passages that concern your remit and flags the points that need human verification, so your team works from a structured summary of the document.
Skilled reading time goes down, and every decision keeps its human review.
Some of your staff already use consumer AI tools, each in their own way, with no shared framework and no common understanding of what it is reasonable to entrust to them.
A practical training session clarifies what these tools do well, what they do not, and where the data goes when they are used. The European AI framework provides for a level of competence matched to how these tools are used, with the precise arrangements still evolving at European level, and this training gives your teams a common baseline rather than scattered individual habits.
Your teams gain a common baseline, and your management has a written record of that upskilling.
You describe the scope that concerns you. Together we assess whether a bilan is justified for your organisation, and we say so directly if it is not.
Structured interviews with the departments concerned, followed by an analysis of tools, data flows and real volumes. You receive a written report with a calculation annex, prioritised by directorate and by department.
Scope, timeline and milestones are fixed before the start and remain the reference throughout the project. Each building block passes a test phase before going live, with documentation the team that inherits it can follow without depending on our continued presence.
LDS is an automation and AI company based in Luxembourg, working with executive management, administrative directors and digital leads of larger organisations and institutions, in Luxembourg and the Grande Region.
We analyse administrative and document processes within the scope defined with you, produce a written and quantified report, then implement the selected automations as a defined-scope project, hosted in Europe and covered by a data processing agreement (Art. 28 GDPR), with a test phase before going live. Training teams to use AI is part of the engagement.
We match the infrastructure to the sensitivity of your data, on a four-level model: European cloud with a data processing agreement (standard), dedicated servers in Europe, or an installation directly on your premises. Our solutions are hosted in Europe and contractually covered by a data processing agreement (Art. 28 GDPR). When an organisation handles health, social or other special categories of data, the sensitivity rises and the infrastructure level is raised accordingly. Before we start, you know where your data sits and the framework in which it is processed.
We do not replace your IT department or your integrator. The assessment covers document and administrative processes, not general IT infrastructure. In most of the projects we run, we work with the IT team in place, on that specific scope: they know your systems, we bring the analysis and the implementation.
Yes, with a framework matched to that sensitivity. The more sensitive the data, the tighter the infrastructure level, up to dedicated European servers or even an installation directly on your premises, with no external AI service. This question is on the table from the first conversation.
The Bilan Terrain runs from a few days to a few weeks depending on the scope. The implementation that follows depends on what is selected, a targeted automation goes live in a few weeks, while a project spanning several departments takes longer. The timeline is fixed with you before the start and remains the reference throughout the project.
Both are possible separately. Some organisations keep the report as an internal basis for decision and implement it with their own teams or another provider. Others entrust us with the implementation, and the assessment is useful even on its own.
It is part of the engagement. The European AI framework provides that staff who use these tools have an understanding matched to their use, with the precise arrangements still evolving at European level. We train your teams on what has been put in place and, more broadly, on a sensible everyday use of AI, with written material your management can keep.
It keeps running. Each building block is documented for the team that inherits it and built on open standards, so any team that takes over can find its way around. You stay in control of your tools and your data.
We look together at whether an assessment is justified for your organisation, and on what scope. A concrete conversation, without commitment, or send us in two sentences the process that costs you the most time today.
