Mapping
We go through how a job is done from start to finish and which rules apply.
We move tasks and routines over to your own AI agents. The agents read inboxes and documents, follow your rules and write drafts that a person approves. We set them up on a dedicated server and run them for you. It is a bigger project than buying a tool. That is why we always start with which routines are worth moving.
Some of the companies we have worked with
It fits when someone reads the same kind of email every day, or when answers have to be pulled from several systems. The work can then often be moved over to an agent with clear rules.
We start with the question of where the time goes. Sometimes the answer is an agent and sometimes a simpler automation or a better structure is enough.

We start with the routines that take the most time and follow clear rules.
The agent reads your inboxes and attachments. It creates tickets and writes the replies as drafts that a person approves.
The agents keep watch over ads, the website and the market and alert us when something deviates. Then we fix the problem.
An AI chat that answers customers' questions based on your own information.
Each routine becomes a task with rules for what the agent may do and when it should ask a person.
When a person corrects a draft, the lesson is saved so that the next draft is better.
The agent can take tasks by voice and read the replies aloud.
We set up the agents on a dedicated server and run them. Watchdogs alert us if anything stops.
We go through how a job is done from start to finish and which rules apply.
You see which routines will be moved and what the agent may do before anything is built.
We set up the agents on a dedicated server and connect them to your systems.
The agents write drafts and a person reviews every result until the quality holds up.
We run the agents and update them when your routines change.
We build what we use ourselves.
Our own work is run by a team of AI agents. We know where they help and where they do not.
The tasks, the routines and what the agents have learned are yours. Everything is also documented.
Anything that reaches your customers is approved by a person. The agent never sends anything on its own.
Here are claims about AI agents that we often come across.
This is what we often see when companies start out with AI agents.
When the structure is missing, the agents become as messy as what they are meant to sort out.
How to avoid it
Put the structure in place first and then move the routines over.
Agents that publish or send without review can spread errors.
How to avoid it
Let a person approve what reaches the customers.
Sensitive information in the wrong tool is a risk.
How to avoid it
Decide which data the agent may use and where it should be stored.
An agent cannot follow rules that nobody has written down.
How to avoid it
Write down each routine as a task before it is moved over.
An agent that stops working is often only noticed once something has already been missed.
How to avoid it
Build in watchdogs that raise an alert when an agent stops.

One person through the whole engagement
You have the same contact from the first meeting. That is also the person who does the work, with AI tools and specialists where they are needed.
Read about who does the workNo. A chat answers when someone asks. An agent works on its tasks all the time and has access to your inboxes and systems under rules that you have approved.
You do. The tasks, the routines and what the agents have learned are yours. We set them up and run them for you.
We use the large language models, mainly those from Anthropic and OpenAI. We choose based on the task. What matters is the rules around them and which data they may use.
The aim is to lift what you already do. The agents take over the routines so that people have time for what requires judgement.
In your own systems as far as possible. We go through which data may be used before anything is built.
We build in watchdogs that raise an alert when an agent stops. The alert comes to us and we troubleshoot.
We start by mapping where the time goes. Then we propose which routines to move first and you approve the proposal.
The audit is a good start. In the meeting we go through which routines are worth moving over to agents. Free for 79 more days. Valued at 15 500 SEK.
Get an auditYour systems talk to each other and information is entered once.
Read more →Admin portals, customer portals and e-learning that sync with the systems you already use.
Read more →Tracking you can trust and dashboards that show you the same numbers as they show us.
Read more →