Consulting & workshops

A good starting point is your team’s actual work. Together we examine effort, data quality and risks, then choose a task with a benefit we can test.

Where it helps

  • Identify processes suitable for a pilot
  • Review data, technical prerequisites and risks
  • Prepare teams for responsible adoption

What the project includes

  • Prioritised list of potential use cases
  • Assessment of value and feasibility
  • Clear pilot scope and success criteria
  • Recommended next steps

Questions to prepare

  • Where do most manual handovers happen?
  • How often does the task occur?
  • What constraints apply to budget, data and operation?

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

The outcome may be to postpone AI. Missing data or an unstable process cannot be fixed simply by adding a model.

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