Services — automation and AI

RPA and agent automation, an own language model on your own hardware, AI solutions and IT operations consulting — from design to delivery and maintenance.

Automation

Agents that operate real applications

When work is done in the same system, the same way, every day, it can be automated. The agent signs in, carries out the work steps and records the result — in a browser or in a desktop application.

◆

Work is stored as data, not conversation

Every step is a row in a database: what was done, when, and what the outcome was. An interrupted run continues where it stopped — it is not started over.

◆

Recovers from failure mid-run

If a page does not load or a button is not where it was yesterday, the agent retries and reports. It does not get stuck and it does not abort the whole batch over one row.

◆

No click recording

A recorded macro breaks when a button moves or a window is resized. We drive the application through its own controls — name, role and state, not screen coordinates.

◆

Secrets never reach the model

Credentials and keys are substituted before anything is sent to the language model. The model decides the next step, but it never sees a username or a password.

Own model

A language model on your own hardware

The model can run on your server instead of sending every question to an external vendor. That changes both the cost logic and what happens to your data.

✦

Cost does not grow with use

The cost is hardware and maintenance, not each individual question. As usage grows, the bill does not grow with it.

✦

No GDPR transfers

The data stays in your network. No third party, no transfer abroad, no new processing agreement for every question.

✦

Limits are measured

We do not promise the model can do everything. We measure which requests it handles and which it does not, and document it. That is the difference between a demo and production.

1

One gateway for every application

All AI traffic passes through the same layer: who may use which model, under what conditions and at what cost. Every request is logged.

2

Measured performance

Response times, context size and where structured output fails. These are numbers, not estimates.

3

Figures in code, text from the model

Arithmetic is checked before the model receives the data. The model writes the sentence — never the figure.

Applications

AI inside your existing systems

We help you identify where AI genuinely pays off, and we build the solution into your existing systems. We always start with a limited trial whose value can be verified.

✦

AI-assisted workflows

  • Automating repetitive work steps
  • Document and form processing
  • Classifying emails and enquiries
  • Generating reports and summaries
✧

Knowledge and search

  • Search across your own materials and documents
  • Questions answered against your own data
  • A knowledge-based assistant for internal use
  • Structuring and classifying materials
◇

Integrations and delivery

  • Integration with your existing systems
  • Interfaces and data transfer
  • Tailoring the solution to your needs
  • Deployment and maintenance
◇

Assessment and controlled adoption

  • Where AI brings you real benefit
  • A limited trial before wider adoption
  • Attention to security and data protection
  • Training and guidance to support adoption
EU AI Act

Regulation can be prepared for

The EU AI Act requires companies to know what their AI systems do and to be able to prove it. The obligation is not limited to large operators: if you use AI in your business, you are responsible for what it produces.

◇

What the Act requires in practice

  • Knowledge of where AI is used and who is responsible
  • A record of what the system did and when
  • Understanding of what the system may and may not be used for
  • Transparency of data processing and retention
  • A human ability to intervene and check
◇

What we do about it

  • Assessment: where AI already exists, including shadow use
  • Every call is logged and traceable afterwards
  • Usage limits are defined in code, not in guidelines
  • An own model on own hardware removes the transfer question
  • Figures are calculated in code — verification is always possible

We do not issue certificates and we do not promise readiness. We build systems so that meeting the requirements is possible — and we say openly which part belongs to your own processes.

IT operations consulting

The whole chain from idea to production — or any part of it.

Design / specification

Requirements analysis, solution design and technical specification.

Programming / scripting

Implementation, integrations and databases as part of existing systems.

Testing / test automation

Test strategy, testing and automation as part of the delivery.

Servers

Unix, Linux and Windows server environments: deployment and maintenance.

Hardware and storage

Hardware and storage services as part of the IT environment.

IT guidance and training

Advisory services and training for IT needs.

Where would you gain the most?

Tell us what you need — we'll find a suitable solution and customisation together.