How we can help
The same information ends up in three different files.
Form data is copied into a spreadsheet and then into an application. Colleagues search old procedures or rebuild the same report manually. We choose a task and check whether an integration, a rule or an AI assistant can simplify it.
Choosing the process
We follow the current steps and identify delays or errors. Together, we choose what to automate first.
Connecting applications
We prepare data exchange between applications that support integration, check access and define how errors are handled.
Document assistants
We configure search and answers using approved sources. We agree which data can be used and who may access it.
Testing and human review
We test with examples from the team’s work. Sensitive answers or actions keep a review and approval step.
How we start
Choose one task
You show us the process, applications and examples. We agree a useful result and how to check it.
Build a small test
We prepare a limited version with approved data and access, then check errors and limitations.
Decide how to proceed
We review the result with users. If the test helps, we plan integration and ongoing administration.
How we price the work
Process complexity, integrations and document preparation determine project cost. Licences, AI service usage and maintenance are estimated separately.
View plansWhat the proposal covers
We define permitted data, access and actions requiring approval. An AI assistant can make mistakes, so we agree checks before it is used in everyday work.
Frequently asked questions
Do all automations need AI?
No. An application integration or a simple rule sometimes solves the problem better. We choose the tool according to the process.
Can confidential documents be used?
Only after we agree the platform, access and data usage conditions. We do not upload company documents to an external service without approval from your designated contact.
Projects and useful articles
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Answers remain traceable
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How to build an AI assistant that answers from company sources
A practical RAG design that searches approved documents, cites evidence and recognises missing information.
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