Intelligent Systems · for businesses

Less routine. More real work.

I connect AI to your data, your rules and the workflows you already have. Individually set up, personally introduced and matched to your data protection needs.

  • Built for your workflows
  • Connected to your systems
  • Cloud to your own hardware
TailoredBuilt around your cases, not around a SaaS mask
IntegratedYour data, templates and tools become part of the solution
AccompaniedIntroduction, training and further development are included
Privacy as architectureThe operating model follows your protection needs
Two directions

Outward and inward.

AI works in two places: where your customers get in touch with you, and where your team loses time every day. Both need different solutions.

Assistant on your website

Answers typical questions, asks for the right details and prepares inquiries so your team can continue working right away.

  • Knows services, prices and rules
  • Qualifies instead of merely answering
  • Available when nobody is on the phone

Advice in the online shop

Helps with the choice, explains differences between products and leads to the right purchase instead of the next filter page.

  • Product knowledge from your catalogue
  • Advice along real purchase decisions
  • Connected to orders, shipping and returns
Inward

Three workplaces, where the work arises.

Bundled by place instead of by function: inbox, voice and company knowledge. Each area works with the data and rules your team needs every day anyway.

Mail Cockpit

An inbox that understands cases instead of just sorting messages.

  • Prioritises inquiries by real urgency
  • Knows your company rules
  • Creates reviewable draft replies, no auto-sends
  • In shop operations with access to orders, shipping and returns

Phone Cockpit

Voice becomes the next step instead of a note that sits around.

  • Responds to missed calls
  • Turns free-form voice notes into structured tasks
  • Hands over to the office with everything needed to proceed

Data Cockpit

Company knowledge that enables action instead of sitting in folders.

  • Finds answers with source references
  • Speeds up onboarding of new employees
  • Makes differently structured offers comparable
Principle
“You should be able to decide which AI works where and what happens to your data.”
Ownership and control stay with you
  • Model-neutral advice, without being tied to one provider.
  • Documented where data is processed and who has access.
  • Models and operation deliberately kept separable, so no unnecessary lock-in arises.
Operating models

The model follows your protection needs, not a sales script.

Not every business needs the same operating setup. What matters is how sensitive the data is and how much independence you want.

High-performance cloud

For non-critical content at the highest model quality. Contract, data region and settings are reviewed concretely in each case.

Good fit if your content is non-critical and you want a fast start.

EU cloud

European models or hosting under EU law, when sovereignty and a fast start should go together.

Good fit if you process personal data and GDPR is a priority.

Private AI cloud

A dedicated server in an EU data centre, exclusively for your business and predictably scalable.

Good fit if you handle confidential company data and want fixed control over the environment.

Your own hardware

On-premise hardware, when data must not physically leave the building.

Good fit if your protection needs are highest and data must stay in-house.

  • Always includedData processing agreements and clear roles are designed together with the technology, not attached afterwards.
Quick check

Which operating model fits you?

Four questions, a first direction. Your answers stay in your browser: nothing is sent, nothing is stored.

These four questions we would otherwise clarify in the intro call: How sensitive is the data the system would work with? How often does the task come up? Roughly how many cases add up? And how often does the knowledge behind it change? The answers point to one of the four operating models – and to whether a system of your own is worth it at all.

How sensitive is the data the system would work with?

How often does the task come up?

Roughly how many cases add up?

How often does the knowledge behind it change?

Why WebVerte

Not another tool.

Standard software can do a lot. But your business is not standard. That is why every project starts with an honest question: where does work hurt unnecessarily today?

Tailored

Built around your cases, your language and your priorities, not around a rigid input mask.

Truly integrated

Your data, templates and tools become part of the solution. Less copy-paste, fewer media breaks.

Introduced and supported

A good start is only the beginning. Your team becomes confident, and the system grows with you.

From website practice

I have been building websites and shops for years. AI is added where it improves a concrete workflow.

Working together

From the sore spot to a running system.

No project starts with a technology decision. It starts with the spot that costs your team time every week.

Show the spot

You show me the workflow that eats the most time today.

Result: a shared inventory of exactly where the workflow loses time.

Check the lever

We clarify whether AI really helps here or whether a simpler solution is better.

Result: an honest read on where AI helps – and where a simpler fix is enough.

Build something demonstrable

You see a concrete approach early, on your own cases, not just a concept.

Result: a working approach on your own cases, not a concept slide.

Introduce and refine

The team is trained, then the system is adjusted based on real usage.

Result: a trained team and a system already adjusted from real usage.

  • AI CheckA standalone, paid short check on one concrete workflow in your business. Result: a solid recommendation and an effort estimate, before a larger project starts.
FAQ

Before we talk.

The most common questions can be answered right away.

Is an AI system worth it for a small business?

Often yes, but not always. What matters is not the size of the business, but whether there is a recurring task that regularly costs time and follows clear rules. If there is not, I will tell you.

Where is my data processed in an AI system?

You decide via the operating model. Options are a high-performance cloud, an EU cloud, a dedicated server in an EU data centre or running on your own hardware. For each model it is documented where data resides, who has access and which contracts stand behind it.

What happens when the AI gets something wrong?

That is why the systems produce drafts and suggestions instead of acting automatically. Replies are reviewed before sending, and answers from company knowledge come with source references so you can verify them.

Do I need specific software for an AI system?

No. The system is connected to what you already use: inbox, website, shop, documents. Switching systems is not a requirement.

Do I get locked in to one AI provider?

No. The advice is model-neutral, and model and operation are deliberately kept separable. If prices, quality or the legal situation change, switching remains possible.

What does an AI project cost?

That depends on the scope, the systems to be connected and the chosen operating model. After the intro call you get a concrete assessment. Ongoing model costs are itemised separately so you can budget them.

Is an AI system from you automatically GDPR or AI Act compliant?

No – no serious provider can promise that across the board. I provide an operating model matched to your protection needs, documented data flows, European operating options and, depending on the model, no use of your data for training. Your own processes and the legal assessment stay with you, ideally with legal advice at your side.

First section

AI is only the second step.

If the website or shop itself does not carry yet, an assistant on top is not worth it. Then we start one level earlier: positioning, structure, technology.

View Digital Presence
Intro call

Show me the spot that costs your team time every week.

Together we clarify whether and where AI really helps you. If a simpler solution fits better, I will say so.

What is it about?

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