Artificial intelligence
AI that works with your data
AI built on your company’s data
A language model does not know your company on its own. We connect it to documents and systems, set permissions and measure the results.
We implement AI solutions where they save time. We start by assessing the use case. We choose the model to fit the task. We protect your data and train your team.
01 / Artificial intelligence
What we implement
Solutions with a measurable goal.
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01
Assistant on company data
It answers questions based on company documents (RAG). It cites the source of each answer.
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02
Document automation
It reads invoices, contracts and forms. It transfers the data to your systems.
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03
Agents
They carry out multi-step tasks in company systems. A person approves the important steps.
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04
Integrations
We connect AI to ERP, CRM, email and the knowledge base.
02 / Artificial intelligence
Assessment and security
Before you spend money, we check whether the project makes sense.
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01
Use case assessment
We calculate cost, time saved and risk. We choose the first implementation.
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02
Data security
We agree where the model runs and where the data goes. The assistant sees only what the user has access to.
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03
Quality measurement
We test answers against a set of questions. We compare results after every change.
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04
Team training
We show people how to use the tools and how to check the results.
03 / Artificial intelligence
Process
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01
Workshop
We gather ideas and choose the use cases.
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02
Pilot
We build a first version on a selected process and data set.
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03
Measurement
We check quality, time and cost. You decide on the next stage.
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04
Rollout and training
We launch the solution, train the team and hand over the documentation.
04 / Artificial intelligence
Use cases
- Searching procedures and manuals
- Reading purchase invoices
- Contract summaries with a list of deadlines
- Answers to common customer questions
- Classifying helpdesk tickets
- Comparing supplier offers
- Training the team to use AI safely
- Searching the history of service requests
05 / FAQ
Frequently asked questions
Will our data go to the model provider?
That depends on the option. We can use a cloud model under a data processing agreement or a model running on your premises. The choice is set out in the contract.
Where should we start?
With one process that takes a lot of time. A pilot will show whether AI works for it.
Can AI make mistakes?
Yes. That is why we measure answer quality, show sources and leave important decisions to people.
Do you work with a single model provider?
No. We choose the model to fit the task, the cost and the data requirements.
Do you train employees?
Yes. Training is part of every rollout. We can also run separate workshops.
Do you have a process that takes too much time?
Describe it. We will assess whether AI can help and propose a pilot.