Put AI to work in your company.
Describe what you want done. AI works in your systems to carry it out.
We connect AI to your systems and company knowledge so you can put it to work across the business. Have it analyse what drives your results, build new tools and automate entire workflows. We handle the setup, integrations, testing and training for your team.
What would you get done with more time and technical help?
There is data you want to understand, work that takes too long and tools you need someone to build. AI can take on some of that work when it can access the relevant systems and understands what the task requires.

Describe the task you want done. We handle the technical setup.
Describe the task. AI gets to work.
Ask AI to investigate something in your business. Discuss what it finds and give it the next task in the same conversation. These examples show how analysis can lead to action and how recurring work can start automatically.
Build a quoting tool from our price list and discount rules. Use previous quotes to test the calculations and show me a version I can try.
A first version is ready to try. You can inspect each calculation and review the rules that need clarification.
See what we have built for other businesses.
Real tasks from our clients’ day-to-day work. See what we have built and connected, and hear from the people who use it.
“Kaan has taken my webshop to a whole new level.”

116 used trucks translated from German and listed with Danish copy, specs and images
Forklift trade-in value calculator live on the webshop
Shopify, supplier data and product imports brought into one setup
Every form lands in the CRM with a follow-up task for the managing director
Calls are tracked and recordings saved on the customer in the CRM
Automations moved to their own stable server
“…how many searches, entries and who knows what else this is going to save me. Excellent work. Thank you.”
“…we have found a stable and satisfying customer flow, which MONDAYBREW has secured for us.”
What we set up so AI can do the work.
You need to be able to give AI a task and work with the result. We build the setup that makes that possible.

We choose the AI solution that fits the work

We connect the systems the task requires

We make company knowledge and instructions available

We build missing integrations and automations

We test on your tasks and teach you to use the setup
You decide what AI may do.

Access to relevant information
We agree which systems and information AI can use and who in the company gets access.
context
Clear limits on actions
We configure what AI can carry out directly and which changes or messages need your approval first.
runtime
Work you can follow
You need to see the sources and changes relevant to reviewing the result and correcting errors.
visibility
Someone responsible
We agree who follows up on errors, changing needs and daily use, both in your team and at mondaybrew.
controlHow you get started.
You do not need a finished AI idea. We review the business with you and choose an initial task whose value can be assessed in practice.

Find where to start
We review the tasks, systems and work that takes time or requires technical help. Together, we choose the first deliverable.

Agree the scope and price
You receive a concrete scope: what AI should do, which systems we connect and how we assess whether it works.

Build and try it
We configure the solution and test it on your tasks. We address what is missing with the people who will use it.

Start using it
You receive training and documentation. We agree who maintains the setup and how it can be expanded.
What would you like AI to take care of?
Tell us about your business and the work you want done. It might be something that takes too long or a tool you need help building.
In 30 minutes, we look at the possibilities and assess what is worth exploring further.
You leave with- 01An initial assessment of the possibilities
- 02An idea of where to start
- 03The systems and information we need to examine
- 04A next step if there is a case for continuing
You speak with Kaan, who also handles the implementation.


