AI integrations for business systems
When your team searches through dozens of documents or sorts requests by hand, AI can help with the preparation. We define a specific task, connect the sources it needs and use a pilot to check whether it helps with real work.
Discuss your briefDoes this sound familiar?
- Information is scattered across documents, databases and internal tools.
- Support staff repeatedly answer similar questions and search for reference material.
- Document processing involves extensive manual preparation and checking.
- An AI tool works on its own but cannot take part in your business process.
From a process to a solution.
The scope follows your brief. Together, we will prepare these steps and deliverables:
- A defined use case and measurable criteria for the pilot.
- A plan for connecting data, access permissions and existing systems.
- Knowledge search, an assistant or document processing to suit the brief.
- Test scenarios covering errors, incomplete information and handover to a person.
- An agreed approach to deployment, quality checks and further development.
Experience from a real project.
Questions about the solution.
Do we need our own AI model?
Not always. We choose suitable infrastructure based on your data, deployment approach and operational requirements. First, we need to understand the task, access to data and the limits of your environment.
How do you check whether the answers are useful?
We prepare test tasks from your process and agree on how to evaluate them. We assess accuracy, usefulness and the situations in which the solution should ask for more information or hand the task over to a person.
Can AI write directly to our systems?
Where the process and permissions allow it, we can also design specific actions. During analysis, we agree on which actions can run automatically and which require approval.
Have a process
that needs to change?
Let’s start with how you work today. We’ll choose the technology around it.