AI agents

An AI agent connects knowledge with clearly defined tasks. It researches, organises information and prepares the next step — within the boundaries you set.

Where it helps

  • Answer questions using internal documentation
  • Gather information for proposals and decisions
  • Prepare recurring tasks in existing systems

What the project includes

  • Agreed tasks and permissions
  • Connections to suitable knowledge sources
  • Test cases for correct and incorrect answers
  • Approval steps, logs and operating documentation

Questions to prepare

  • Which actions may the agent only prepare?
  • Which sources are authoritative?
  • When should a request be handed to a person?

Test before daily work depends on it

Acceptance uses agreed examples from your workflow, including incomplete inputs and common exceptions. We check the intended result as well as whether failures remain visible and the process hands control to a person when needed. Owners receive a documented basis for deciding whether to put the solution into use.

Deliberate boundaries

An agent receives only the access it needs. Critical actions such as payments, contractual commitments and deletions require explicit approval.

Scope, price and timing

After an initial conversation, we clarify prerequisites and prepare an individual proposal. Pilot scope, acceptance criteria and timing are agreed before starting.

How we approach it


01

Meet

We discuss your process, the people involved and the intended outcome.

02

Understand & define

We review data and interfaces, then agree on success criteria.

03

Pilot & decide

A bounded pilot shows what works and what needs to change.

04

Introduce & support

We integrate the solution, document it and agree how it will operate.

Which process takes too much of your team’s time?

Tell us about it. Together, we can find a concrete starting point.

Discuss a project