Martin SchenkBuilding software in Madrid since 1999

AI built into your company, with your own data.

AI connected to your mail, invoices and programs. Your own instance, nothing goes out without your approval.

AI integration projects with your own data

I connect AI to what you already use: mail, invoices, bank, programs. Every client gets their own instance, a person decides what goes out, and I keep it running afterwards.

What I build in

Concrete jobs in your day-to-day work, connected to your data and running in production.

Assistant for your office

Sorts the inbox, prepares replies as drafts in your own style, books incoming invoices and matches bank movements. A person presses send.

Automated routines

Recurring work written down as fixed instructions: documents, reports, reminders, end-of-quarter lists. The same way every time.

A memory of your own history

A search database built from your mail, documents and notes, so answers start from what was really said and agreed.

AI in your existing software

I add AI to the applications you already run: search, summaries, interfaces for assistants (MCP). Without rebuilding what works.

AI I build and run

Six systems in daily use, for clients and for my own products. Every screenshot comes from the real application, with invented example data.

A CV becomes a complete candidate profile

Client project · Stamm Consulting Group

A CV becomes a complete candidate profile

  1. 1An interim manager uploads a CV on the consultancy's website, as PDF, Word or photo.
  2. 2The AI reads it completely and fills in the profile: positions, industries, languages, leadership experience. The candidate only confirms and answers what is still missing.
  3. 3The consultancy receives a finished profile with PDF instead of retyping CVs by hand.
See it live
Invoices written by Claude or ChatGPT

Own product · contix

Invoices written by Claude or ChatGPT

  1. 1A freelancer tells Claude or ChatGPT whom to invoice and for what.
  2. 2Through the contix MCP server, the assistant finds the customer, creates the invoice and fills in VAT and series.
  3. 3The invoice is ready in contix, Verifactu-compliant, without opening the dashboard.
See it live
The rental contract is read once

Own product · soycasero

The rental contract is read once

  1. 1A landlord uploads the contract and related papers, by phone or computer.
  2. 2The AI reads them, asks about what is unclear and builds the plan: deadlines, rent updates, renewal, deposit.
  3. 3The landlord gets reminders and a ready-to-send message for the tenant. Sending stays their decision.
See it live
Official letters in plain language

Own product · klaro.legal

Official letters in plain language

  1. 1Someone uploads a contract, official letter or tax assessment, also as a phone photo.
  2. 2Personal data is removed first; the AI then explains the document clause by clause. Processing stays in the EU.
  3. 3Original and plain version side by side, so the reader understands what the document says.
See it live
A website from a conversation

Own product · Palimpalem

A website from a conversation

  1. 1A business owner chats with the assistant about their business, style and what they need.
  2. 2The AI writes the texts, analyses the uploaded photos and places the best ones where they are seen first.
  3. 3Minutes later there is a complete website, ready to edit.
See it live
Project documents understood before the first call

My own sales process

Project documents understood before the first call

  1. 1A prospective client describes their project on my website and attaches documents: PDF, Word or photos.
  2. 2The AI reads everything, including scans, and writes a short brief of what it understood.
  3. 3The client sees the brief right away and can correct it; I start from facts instead of guesses.
See it live

How the project runs

Four steps, from the first idea to daily use.

1

Concept

We look at the real problem and whether AI helps there at all. Sometimes a well-designed database is the better answer.

2

Prototype

A first version with your real data, so you decide on something tangible.

3

Production

Connections, approvals, monitoring and cost control, in your own instance.

4

Operation

I keep it running and improve it from real use. When a better model appears, it gets tested and swapped in.

I run my own company this way. How it is built, what it costs and where it breaks: My AI assistant runs my back office

What does an AI agent cost? Work it out.

Six questions, a range straight away. With AI the one-off setup is only the start — what counts is the monthly operation. Both are here, and the pilot costs a fraction.

Step 1

What should the agent take over?

Step 2

Where should it be reachable?

Step 3

What does it need to connect to?

Step 4

How much knowledge should it hold?

Step 5

In how many languages?

Step 6

Who keeps it running?

Fixed-price package

Your software, connected to Claude and ChatGPT

With an MCP server, your team asks the AI about customers, orders or stock levels and gets the answer straight from your own system. Or the AI creates the record there. MCP (Model Context Protocol) is the open standard Claude and ChatGPT use to work with other software.

MCP pilot

€1,900

fixed price · about 3 working days

  • Up to 5 read-only tools on your existing API or database
  • Demonstrated in Claude on real data in a test environment
  • Short documentation: what is connected and what would make sense next

You see on your own case whether it works before you spend more.

Production MCP server

from €3,900

fixed price · about 5 to 8 working days

  • Up to 15 tools, including write actions with a confirmation before sensitive steps
  • OAuth sign-in, so your team adds it as a connector in claude.ai or ChatGPT
  • Permissions per user, a log of every action, automated tests
  • Runs on your servers or on mine in the EU
  • A short guide for your team: how to connect it and what to ask

For daily use by the whole team.

I run this in production myself: my invoicing software contix has its own MCP server with 63 tools, connected to claude.ai as a connector. Claude creates invoices, records payments and looks up customers there.

Not included: changes to your software if it has no interface yet (I estimate that separately), and Claude or ChatGPT licences on your side.

Frequently asked questions

Which AI model do you use?

Whichever fits the job. Small, cheap models for routine, the strongest ones for difficult work, and new models are tested on real cases before they take over.

What does an AI integration project cost?

Projects start at 1,900 euros plus VAT, and the calculator on this page gives you a first range. You get a fixed price once the concept is clear.

What if a better model comes out tomorrow?

Models can be swapped. Your data, instructions and integrations stay yours.

How do you keep the running costs under control?

Every paid AI call can be logged by project and model, with a daily cap, so there are no surprise bills.

Where does my data go?

Every client has their own instance. For sensitive data, the AI calls can run entirely through a European data centre, and we settle this at the start of the project.

Client voices

Real clients, real words

“After years of working with Martin, my experience is consistently positive. He handles projects personally, listens, and gives everything to build the website you want, adapt the server, design a functional online shop. As technology and AI advance, he keeps up: that's what an inventive mind does.”
MichalOwner · online shop

Translated from Español

“I've been trusting this company for many years and can honestly say: having Martin and his team on your side is a real peace of mind. Professional, close, attentive and always on top of our needs. 100% recommendable.”
Santiago AlmendrosCEO · Neodes (Madrid)Neodes · Madrid

Translated from Español

“I'm extremely satisfied with Martin's service and IT work. What stands out is his deep technical expertise and his structured, goal-oriented approach. I recommend him without reservation.”
Gerhard StammFounder & Senior ConsultantStamm Consulting Group

Translated from Deutsch

Would you like to be next? Tell me on WhatsApp which software worries you. That is how almost all of these stories began.

Write to me on WhatsApp

Tell me what eats your time

Two sentences on WhatsApp are enough. We look at whether AI helps there, and if it does not, I tell you.

Message me on WhatsApp

Prefer to write in your own time?