Choose
We prioritise by value, frequency, risk and effort — not novelty.
ai and automation
We connect tools, automate routines and create AI assistants for specific business challenges.

[in practice]
For example: an email enquiry needs to be classified and prepared. Automation organises the information and a person checks the response before it is sent.
We assess frequency, effort, available data and the consequences of an error.
An initial workflow lets us compare behaviour against defined criteria.
We prepare logs, error handling and human intervention where needed.
[when it makes sense]
[what we can build]
[how we move forward]
We prioritise by value, frequency, risk and effort — not novelty.
We test a small use case with defined success criteria.
We connect the solution to the work and tools the team already uses.
We create visibility, human intervention and continuous improvement.
[before we start]
We define goals, deliverables, timelines and support in the proposal. Licences, external services and advertising are identified where applicable.
No. Many tasks can be solved with simple rules and integrations. AI is considered when it adds value to a specific task.
The level of autonomy depends on the use case. For tasks requiring validation, we design human review points and clear limits for the solution.
We analyse the available integrations, permissions and conditions of each platform. That assessment is part of defining the project.
[the next connection]
next project
Let’s work out what makes sense for your team.
Let’s talk about your project