AI agents that take over your routines.

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

For companies where the same routines take several hours every week

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.

An operations manager follows an automated flow on two screens

This is what we move over to your agents

We start with the routines that take the most time and follow clear rules.

InboxTicketDraftApproved

Inboxes and drafts

The agent reads your inboxes and attachments. It creates tickets and writes the replies as drafts that a person approves.

Alert to usFixed

Monitoring and alerts

The agents keep watch over ads, the website and the market and alert us when something deviates. Then we fix the problem.

Do you have any availability in March?Answer from your information

Assistant for your visitors

An AI chat that answers customers' questions based on your own information.

  • Clear rules for every task

    Each routine becomes a task with rules for what the agent may do and when it should ask a person.

  • Memory and lessons learned

    When a person corrects a draft, the lesson is saved so that the next draft is better.

  • Voice and conversation

    The agent can take tasks by voice and read the replies aloud.

  • Setup and operation

    We set up the agents on a dedicated server and run them. Watchdogs alert us if anything stops.

How it works

Mapping

We go through how a job is done from start to finish and which rules apply.

A proposal you approve

You see which routines will be moved and what the agent may do before anything is built.

Setup

We set up the agents on a dedicated server and connect them to your systems.

Testing and review

The agents write drafts and a person reviews every result until the quality holds up.

Operation

We run the agents and update them when your routines change.

How our work differs

We build what we use ourselves.

We use it ourselves

Our own work is run by a team of AI agents. We know where they help and where they do not.

The agents are yours

The tasks, the routines and what the agents have learned are yours. Everything is also documented.

A person approves

Anything that reaches your customers is approved by a person. The agent never sends anything on its own.

True or false?

Here are claims about AI agents that we often come across.

Common pitfalls

This is what we often see when companies start out with AI agents.

AI on top of a messy foundation

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.

No person in the flow

Agents that publish or send without review can spread errors.

How to avoid it

Let a person approve what reaches the customers.

Data in the wrong place

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.

Routines that only exist in someone's head

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.

Agents that stop without a sound

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.

The founder of DigitalMassa

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 work

Frequently asked questions

Is this the same thing as a chat with AI?

No. 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.

Who owns the agents?

You do. The tasks, the routines and what the agents have learned are yours. We set them up and run them for you.

Which AI do you use?

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.

Does it replace staff?

The aim is to lift what you already do. The agents take over the routines so that people have time for what requires judgement.

Where does our data end up?

In your own systems as far as possible. We go through which data may be used before anything is built.

What happens if an agent stops working?

We build in watchdogs that raise an alert when an agent stops. The alert comes to us and we troubleshoot.

How do we get started?

We start by mapping where the time goes. Then we propose which routines to move first and you approve the proposal.

See where the time goes

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 audit

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