AI in your business
“The board wants AI. The team hasn’t started.”
We find where the hours go and put AI to work right there. Week one starts with a compressed design sprint with the team, on their own tasks. In week two, what works goes into production.
Goals, questions and a map of the flows. Everyone sketches a solution alone, then the CEO decides. We write down what has to happen for us to say yes.
The simplest version that really works, in the tools you already have.
Three colleagues use it on real tasks for a full day. We watch what they do and measure the time.
Build on it, fix it or drop it. Judged against the questions from day one, not gut feeling.
What worked goes into production, with rules for which data may go where. Before and after, measured.
- From a couple of enthusiasts to every engineer working with AI agents
- Invoice checks: millions of invoices in hours instead of weeks
- GDPR deletion in a single field, about 100 hours a year back
Hours estimated carefully. The interruptions often cost more than the hours.
Is this a workshop?
Yes, and more. The team works on their own tasks all week, and what works goes into production the week after.
What if it doesn’t work?
Then you have spent a week, not a quarter, and you know why. We pick the next flow and test again.
Which tools will you use?
What you already have, first. New tools only when they clearly pay for themselves.
Is it safe with customer data?
We start with what is allowed. EU-based services and clear rules for what may leave the building.
Book 30 minutes. We measure first.
andrew@kalibrerat.seTell us briefly what is wrong. After the call you will know whether a package fits, and which one. If none does, we will say so.