MeridianTek · Automation & Data Management

Less routine work. Full control over your data.

Copying, retyping, searching, chasing answers: many workflows still burn hours every week that could long be automated or simplified. AI is everywhere and can help, but it is not always the best solution. Together we find the time sinks and solve them in a privacy-compliant way: with AI where it helps, and with simple automation where that is the better answer.

Free initial conversation View services

Approach

Process first, tool second

Find the time sink / the problem

We start by looking at where your workflows actually lose time or produce many errors – not where AI could be fitted in most elegantly.

Pick the right tool

Sometimes that is an AI assistant or an internal knowledge base. Often built-in tools are enough: a form, an automated workflow in Microsoft 365, an interface between two systems, or migrating data from a legacy system to a new one.

Data protection from the start

Every solution is built so it can be operated GDPR-compliantly and your data remains yours – in a European cloud or entirely on your premises.

Self-check

Is automation worth it for you? Four rules of thumb

Does it repeat – and follow fixed rules?

Anything that runs weekly in the same pattern can be automated – usually with tools you already pay for: Microsoft 365, Power Automate or n8n.

Is data retyped or copied back and forth?

Every manual transfer costs time and breeds errors. A form with automatic routing replaces the copying entirely.

Does someone need to understand or summarize text?

Once unstructured texts, emails or documents are involved, fixed rules are no longer enough – this is where AI actually helps.

Is every case different?

Then automation is the wrong answer. Only once the process itself is clear does a tool pay off – sometimes the best solution is a leaner workflow with no new technology at all.

Data protection

Where may your data go? Three ways to use generative AI

AI models can run in the US/China, in European data centers – or on a server in your building. That difference determines which data you may process with them, and what it costs.

US/China cloud

ChatGPT, Gemini, Claude, Kimi etc.

Powerful and affordable – but the data sits with providers subject to US law (CLOUD Act) or Chinese law (CSL), regardless of server location.
In free tiers, inputs may be used to train future models, depending on the settings.

Suitable for public content without personal or business data.

EU/DE cloud

e.g. IONOS, Open Telekom Cloud, Mistral

Current models in European data centers with GDPR-compliant contracts.
Pay per use, no upfront investment.

The pragmatic default for most SME use cases.

Local, on your premises

Your own AI server in-house

No data ever leaves the company, no dependency on external services.
In return: purchase and operating costs – even while the system sits idle.

For highly sensitive data and sustained heavy use.

The real risk is often already inside the building

Employees frequently already use private, free AI accounts – and enter customer data into them without any oversight.
Paid business offerings do not train on your data by default. Free consumer tiers may, depending on the settings.
US providers are subject to the CLOUD Act – even with data centers in Europe.
External services can change prices, terms or availability at any time.

The most effective data protection is a clear, sanctioned way to use AI in the company – before uncontrolled ones take root.

What does it cost? An honest example

A team of 20 people uses an AI assistant daily (orders of magnitude, as of mid-2026):

EU/DE cloud: roughly €50–150 per month, usage-based – no upfront investment, ready immediately
Local AI server: roughly €8,000–15,000 upfront plus power and maintenance – roughly €300–550 per month over three years, regardless of usage

At typical usage levels, European cloud inference is clearly cheaper. Local hardware pays off when data must not leave the building, under sustained heavy load – or when independence is worth the premium. That is exactly the calculation we run with you before you invest.

Where does your company lose time?

In a free 30-minute conversation we look at your workflows together. No sales pitch: at the end you know where automation or AI would pay off – and what the GDPR-compliant path would look like.

Schedule a conversation