AI integration
Put company knowledge to work where you need it. We integrate AI into your existing system to help you search your data, process documents and prepare everyday tasks.
Sources
AI feature
Reviewed use

Documents, systems, data and internal knowledge.
Search, summaries and suggestions based on selected sources.
Your team reviews and uses the result.
We start with your information.
AI is useful when built on suitable sources and a well-defined task. We adapt the solution to your data and workflows, planning access, answer verification and usage boundaries.
During the trial, we use real examples to assess output quality, identify mistakes and determine when human review is needed. You can then decide on rollout using measurable results.
Internal search
Search selected documents and systems, with the sources used to produce each answer shown alongside it.
Document processing
Extract and organize key information from invoices, forms and other business documents, with a verification step.
Draft replies
Prepare draft customer emails, summaries and reports for your team to review and finalize.
How do we work?
- 1
Discovery and objectives
We define the task, sources and expected outcome.
- 2
Design and testing
We test data handling, answers and the review process using real examples.
- 3
Rollout
We connect the approved feature to your existing system and workflow.
- 4
Measurement and refinement
We review quality, costs and potential improvements using the results of actual use.
Transparent costs, predictable usage.
Development costs depend on the complexity of the task and integration. We plan AI provider usage fees, storage and runtime costs separately, based on expected usage and configurable limits.
What data can the AI solution access?
It can access the documents, systems and APIs selected during planning. We specify access permissions, information sent to the provider and retention arrangements for each task.
Will every answer be accurate?
AI can make mistakes or give incomplete answers. We therefore evaluate results using real examples, show supporting sources where appropriate, and plan human review according to the risks of the task.
Can it be integrated into our existing application?
We assess integration options using the available APIs, data sources and access permissions. Possible features include internal search, document processing and draft answers that staff can review.
What costs should we expect?
In addition to development, costs may include AI provider usage, storage and the runtime environment. We discuss expected usage and appropriate limits before preparing a proposal; actual costs depend on the solution and usage volume.
Where should we start if we do not have a specific task in mind?
Choose a repetitive task with examples and results that can be checked. A small trial will help establish whether AI is the right tool for it.



