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If you lead IT

More technical capacity without growing the team.

AI goes into the repository, the review cycle and the systems you already have. Not into a separate tool.

Talk about your case See the approach for business

We have spent years putting AI into production for companies that cannot afford for it to fail.

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The starting point

The usual situation in technical teams.

Adoption without governance

The licences are bought and each team uses AI its own way. Nobody has decided which data may leave.

Pilots that never take off

They work in a demo and stop at the first real requirement: permissions, traceability, integration with what already exists.

Vendor lock-in

What gets bought quickly leaves context and prompts outside your control. Migrating it costs more than building it.

More requests from the business

The queue of business requests grows and the headcount does not. The question is no longer which model to use, but how much the team can deliver.

What changes

Four changes in the team.

The team delivers more without longer days.

Gathering context, writing tests and documenting stop consuming the day.

The business stops asking you for every query.

Repeated questions get answered without going through your queue.

Criteria are written down.

Conventions and decisions are documented and applied on every change.

Data stays where you decide.

Where the data lives, who accesses it and what gets logged is defined.

Architecture and governance

Where each piece lives and who operates what.

The MCP server runs in your environment, with one connector per system and your guidelines alongside it. Credentials never leave it.

ERP · CRM · REPOSITORY DATABASE DOCUMENTS MCP SERVER YOUR RULES AGENT MODELS YOUR ENVIRONMENT API FIRST SQL FALLBACK ONE CONNECTOR PER SYSTEM CREDENTIALS IN YOUR .ENV EVERY QUERY LOGGED TOOLS GUIDELINES · REVIEW CRITERIA · SKILLS VERSIONED IN YOUR REPOSITORY OPERATED BY YOUR TEAM OPERATED BY US

Integrations

API first. SQL only where the API does not reach. Always on what you already have.

Credentials

They live in your environment. Never in our repository.

Traceability

There is a record of what was queried, with which model and with what result.

When we finish

Code, rules and context are yours and remain versioned.

A working day

Real tasks from an ordinary day.

See all the cases we implement
Choose the task you want to see

From the ticket to the branch in production.

An ordinary code change, the kind your team makes several times a day.

  1. Step no longer done by hand: You find which part of the code is affected The ticket arrives with the code context gathered
  2. You write the change and the tests You write the change with proposed tests alongside
  3. Step no longer done by hand: You wait for someone to be able to review it A pre-review applies your criteria
  4. You fix what comes up in review You review only what needs a decision
  5. Step no longer done by hand: You update the documentation when there is time Documentation is generated from the change itself

Steps no longer done by hand

3/5

Work per change, in this example

6 h 2 h

What a person still does

Decide the change and approve it.

Gathering context, waiting for review and writing documentation no longer take anyone’s time.

From the business request to the data on their screen.

A routine question: how much, from whom and since when.

  1. The request arrives outside the queue The question is asked in plain language
  2. Step no longer done by hand: Someone interrupts what they were doing Nobody on the team has to stop
  3. Step no longer done by hand: Writes the query against the database The agent queries with the permissions of whoever asks
  4. Step no longer done by hand: Exports the result and emails it The data arrives with its source and its date
  5. Gets back to their task half an hour later Only what the agent cannot answer reaches you

Steps no longer done by hand

3/5

Team work, in this example

30 min 2 min

What a person still does

Answer what the agent cannot.

Nobody on the team stops again to export a piece of data.

From the alert to the fix deployed.

Something fails in production first thing in the morning.

  1. The alert fires and someone picks it up The alert fires and someone picks it up
  2. Step no longer done by hand: Searches the logs for what happened The log arrives read and summarised
  3. Step no longer done by hand: Traces which change caused it The change that caused it is flagged
  4. Writes the fix and tests it You write the fix with the context gathered
  5. Step no longer done by hand: Documents the incident when there is time The incident report is generated from the fix itself

Steps no longer done by hand

3/5

Work per incident, in this example

3 h 1 h

What a person still does

Decide the fix.

Reading logs, tracing the change and writing the report no longer take the morning.

From the approved idea to the first version in use.

A complete feature, not a single change: screens, data and tests.

  1. Step no longer done by hand: It is fully specified before a line is written The version that already adds value ships first, not the most complete one
  2. Step no longer done by hand: It is split by layer and each part moves at its own pace Code is generated with the conventions you already have
  3. Step no longer done by hand: Tests are left for the end Tests are written with the code, not afterwards
  4. Everything is integrated and the mismatches appear You decide the integrations that matter
  5. It reaches production months after being decided It is in use within days and grows with what you learn

Steps no longer done by hand

3/5

Work until it is in use, in this example

80 h 25 h

What a person still does

Decide what is most valuable now.

Specifying everything up front and leaving tests for the end no longer delay what could already be in use.

From the screen that generates support tickets to the one that explains itself.

A feature in production that generates more support queries than use.

  1. Step no longer done by hand: Support complaints are collected by hand Complaints arrive grouped by what fails
  2. Step no longer done by hand: The redesign is discussed over a document Two or three navigable alternatives are on the table
  3. Step no longer done by hand: Someone builds the mockup when they can The mockup is ready in hours, with your visual system
  4. It is tested with two people from the team itself It is tested with the people who actually use it
  5. It is built and then checked to see whether it works You decide with the screen in front of you, not a document

Steps no longer done by hand

3/5

Work per redesign, in this example

40 h 12 h

What a person still does

Decide what experience you want to offer.

Collecting complaints, building mockups and arguing over a document stop being the redesign.

How we work with you

The method is the same for any case.

A path in three phases. Each one closes with something reviewable: a written decision, a case in production, an autonomous team. Until that is there, the next phase does not start. It is what keeps a pilot from staying a pilot.

WHERE TO START GETTING IT GOING ONGOING SUPPORT TRAINING CUSTOM DEVELOPMENT RUNS ACROSS THE WHOLE PATH ENTERS AT ANY POINT

The services

  1. AI implementation We look at how you work, put the first case into production and stay until the team sustains it without us.
  2. Training Your teams learn to work with AI on their own tasks, not on textbook examples.
  3. Custom development We build the product or the software when what you need does not exist, and the code stays in your repository.

A technical team also starts at the beginning: we look at your repository and your workflow, and choose the first case for what it delivers, not for how much it covers.

See the service in detail

Shall we look at it with your team?

Tell us how your technical team works today. We will tell you where AI would fit and where it is not worth it.

Subject: Approach for IT — let’s talk about our case

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Write from the full form

No commitment You talk to the person who will write the code If it does not fit, we tell you

Frequently asked questions

What IT leaders ask us.

Who owns the code, the prompts and the data?

You do, from the first commit. Code is written in your repository and rules are versioned with it. Data does not change hands. There is no licence of ours to renew.

What happens to our current stack?

It stays. We work on your repository, your ticketing system and your CI, with their permissions, whatever the language or the age of the system. If something is worth changing, we propose it with its reason and its cost, never as a precondition.

How do you deliver something new?

Most valuable first. The version that is already useful goes to production and into use; what comes next is decided with it in front of you, not over a document.

Who maintains this a year from now?

Your team. That is why the implementation leaves written rules, explicit dependencies, tests and operating documentation. If you would rather we carried on, that is the ongoing support phase and it is decided one stage at a time.

What do you need from my team?

An environment to work in and some hours from whoever knows the domain, mostly at the start. Nobody has to leave their job. If more is needed, we say so beforehand.

How will we know it is improving anything?

What gets measured is agreed before starting: real usage, cycle time, rework after review. If the number does not move, we say so and change the case.