Automation and AI for organisations

Still running by hand. Where do you start?

We begin with your tools, data and heaviest process. Then we recommend only the level of support that is actually needed.

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  • No-commitment discovery call
  • Clear scope before any engagement
  • European cloud by default
Google5.0 / 5
Amar MujkicOwner of Atelier AM3D SARL, renovation company (Luxembourg)1 Google review
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« Pour une fois, une décision prise sur des chiffres concrets. »
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« Excellent! J’ai vu passer assez de vendeurs de solutions pour rester prudent. On a commencé par un audit de nos process, et en une semaine j'avais un rapport clair, chiffré en heures et en argent sur l'année, qui pointait noir sur blanc ce qui valait le coup d'automatiser chez nous et ce qui non. Pour une fois, une décision prise sur des chiffres concrets.

Ce qui compte pour moi, c'est qu'il ne survend pas. Le consultant m'a dit lui-même là où l'IA ou l’automatisation normale n’apportait rien chez nous. Et l'audit est garanti, s'il ne repère pas au moins trois fois son prix en gains, il n'est pas facturé. Le risque est de leur côté. Prestataire sérieux, je recommande sans réserve. »

In short

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.

Use cases

What it changes at the scale of an organisation

AI agent

Incoming mail and shared inboxes

Someone reads the messages in the general inbox one by one, just to work out who should reply.

Someone reads the messages in the general inbox one by one, just to work out who should reply.

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.

Workflow

Case tracking and regulatory deadlines

The tracking often lives in a spreadsheet that two people update differently, and a missed deadline is costly, in money or in trust.

The tracking often lives in a spreadsheet that two people update differently, and a missed deadline is costly, in money or in trust.

A system tracks each file and alerts before the deadline, with a centralised history, and it plugs into what your teams already use, with no change of tools.

Delays become visible while a file can still move forward, which changes the moment your team acts.

AI agent

Analysing long documents and internal procedures

A tender can run to more than a hundred pages, and finding the part that concerns your department takes skilled time.

A tender can run to more than a hundred pages, and finding the part that concerns your department takes skilled time.

A document assistant surfaces 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. The same kind of assistant already reads Luxembourg construction law online, at baurecht.luxdigitalsol.com, and you can see it work before any commitment.

Skilled reading time goes down, and every decision keeps its human review.

Training

Training teams to use AI

Some of your staff already use consumer AI tools, with no shared framework for what it is reasonable to entrust to them.

Some of your staff already use consumer AI tools, with no shared framework for 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.

Our proof

Proof comes before promises.

Our team brings together more than ten years of development experience. Auroplan (formerly BuildFlow), 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 to systems we set up for larger organisations. The agreed scope is tested before going live and documented for the team that takes it over. Hosting and the contractual framework are set separately according to the data and the need.

The founder
« I understand the possibilities and risks of AI. My vision for LDS is to guide you towards infrastructure that lasts and is easy to use. You have a Luxembourg-based consultant as your direct point of contact. We handle the complexity, document our decisions, make calculations traceable and give your teams what they need to move forward without having to become AI experts themselves. »
Luca BarnaboLuca Barnabofounder of Lux Digital Solutions
How it works

How a project unfolds

  1. First conversation, free and without commitment

    You describe the scope that concerns you, the teams involved and the constraints already known. We do not start from a predetermined service.

  2. A recommendation for the right format

    We recommend the smallest useful setup: workshop, prototype, training, direct implementation or a focused audit when several options first require quantified comparison.

  3. You decide, step by step

    You can circulate the recommendation internally, start only one stage or launch nothing for now. Every selected engagement keeps a clear scope, milestones and an exit point.

See the options after the conversation
Your data

Where is your data hosted?

We match the infrastructure to the sensitivity of the data. For personal data processed by a provider, a European cloud governed by a data processing agreement is the standard. Depending on the need, a dedicated server in Europe or an installation on your premises remains possible. Health, social and other special categories require a higher level of protection. The processing location and applicable framework are set before implementation.

After the conversation

One situation, several possible next steps

The first conversation clarifies scope, stakeholders and data constraints. The recommendation can then circulate internally before any decision.

  • Scoping workshop, training or prototype to align the teams
  • Focused audit when several options require a quantified comparison
  • Phased implementation when a process is already sufficiently defined
FAQ

Frequently asked questions

We do not replace your IT department or your integrator. The assessment covers your document and administrative processes, and the exact scope, including the boundary with general IT infrastructure, is set with your IT team from the first conversation. They know your systems, we bring the analysis and the implementation, each on its own ground.

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 quote sets a price for each stage before it starts, the audit and then the implementation where applicable, which fits into a budget file like any other controlled expense. Each stage has its own exit point, and you decide whether to continue once its result is in hand.

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 your data stays exportable at any time, so any team that takes over can find its way around. You stay in control of your tools and your data.

Preview of the self-check (PDF)

Before investing in AI, know which processes make it pay off.

The self-check helps you identify recurring tasks, rules that are already clear and points to verify before automation. A one-page PDF that takes only a few minutes.

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Next steps

A first conversation about your processes

We first clarify the situation and the smallest useful next step. The recommendation can circulate internally before any decision, and you keep control of what happens next. Book thirty minutes or describe the process that costs the most time today.

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