There is too much information to review manually
Employees spend time reading documents, messages, reports, and other text.
AI for everyday work
We integrate AI into your company’s workflows
We identify where AI can genuinely help, connect it to your existing processes, and make it a practical part of everyday work.
Common situations
The right answer is hard to find
People search through files, old emails, or internal instructions before they can respond.
The same content has to be prepared repeatedly
Draft replies, summaries, descriptions, and documents are written from scratch again and again.
Documents arrive in different formats
Letters, forms, PDFs, and scans contain information that has to be understood and processed.
A task depends on understanding the content
Simple rules are not enough when the system needs to recognise context, intent, or meaning.
AI is already being used, but without a clear process
Employees use separate tools on their own, while the company has no shared rules or quality checks.
Where AI helps
How AI differs from ordinary automation
Standard automation
Works well when the rules are clear and predictable.
If X happens → do Y
For example:
- Receive a form
- Save the data
- Send an email
AI
Useful when the first step is to understand the content.
For example:
- Receive an email
- Identify the topic
- Extract the key information
- Prepare a suggested next step
How AI becomes part of the process
How AI fits into the workflow
Incoming information
AI understands the content
- classifies
- finds information
- compares
- prepares a result
Rules and checks
Action
How we work
From idea to launch
01
We define the task
We clarify what AI needs to understand, what information it may use, and what a useful result looks like.
02
We choose the right approach
We compare suitable models, data sources, access methods, and decide where human review is needed.
03
We build, test, and launch
We test the solution on real examples, refine its behaviour, and explain how to use it safely.
Data and control
Not only what AI can do, but where and how
Data
We define which information the solution may use, where that information is stored, and whether it can be sent to a cloud AI service.
Local models
When needed, part or all of the solution can run on company-controlled infrastructure or with a self-hosted model.
Human oversight
Important decisions can remain with a person, while AI prepares information or suggests the next action.
Pricing
Typical project ranges
AI feature for one task
For example, document analysis, reply drafting, or information extraction.
from €450
AI assistant for a work process
A dedicated interface, connection to company data, access rules, and integration with other systems.
from €700
Custom AI solution
Several data sources, integrations, roles, or AI capabilities in one solution.
Custom quote
Frequently asked questions
01 Do we need a ChatGPT subscription?
No. The right setup depends on the task. It may use a cloud AI service, an API, or a local model.
02 Can AI work with our own documents and information?
Yes. The solution can search and use approved company data while respecting the access rules you define.
03 Can we start with a small pilot?
Yes. A limited first version is often the safest way to test quality and usefulness.
04 How accurate will the result be?
That depends on the task and the data. We test the solution on real examples and add checks where mistakes would matter.
05 Can AI run on our own infrastructure?
In many cases, yes. For sensitive data, we can consider a local or self-hosted model and keep more of the processing under your control.
06 Can the solution be expanded later?
Yes. We can begin with one task and add data sources, actions, or new capabilities when there is a clear need.
A practical starting point
Let us see where AI could actually help?
Tell us which work takes the most time or requires the most attention. We will help you decide whether AI is the right tool and how to use it safely.