AI integrations
Add AI where it can do useful work.
Extraction, classification or drafting: add a focused capability to your tools, with results you can evaluate.
What this service brings you
A focused need
The feature serves an identifiable task rather than a broad AI promise.
Integration into your work
Results connect with the tools and reviews your team needs.
Evidence for decisions
Reference examples help assess usefulness and limitations.
Start with your situation.
You see a task where AI could help but do not want to rebuild your systems. A specific use case, real examples and an expected result provide the starting point.
Our work
We define the scope with you, based on your goals, existing systems and project constraints.
Classification and extraction
Define information to extract and expected categories using examples from your work.
Content generation
Describe the format, instructions and review needed before generated content is used.
Result evaluation
Compare results with reference examples and handle uncertain cases.
Integrate an AI function and evaluate its usefulness
Define input and expected output
We select a specific task and the data it should receive and produce.
Evaluate your examples
We assess results using representative cases, including errors and ambiguous situations.
Connect the existing workflow
We integrate results, human review and failure handling into your tool.
Before you get started
How do we know whether AI fits the task?
Real examples help assess expected quality, acceptable errors and usefulness compared with a simpler rule.
Who reviews uncertain results?
We define cases requiring review together with a human responsibility and failure behavior.
Are usage costs included?
Dependencies and running costs need to be distinguished from integration work in the proposal. They depend on the agreed scope.
Consider alongside this service
Choose a concrete use before adding AI everywhere.
Bring a task and a few data examples. We’ll assess the useful result and what integration requires.