AI adoption

We help bring AI into people's work and business processes

AI adoption means people do their own work with AI and business processes run with its help. We start from specific tasks and processes and from the tools and materials you already have, and we assess what needs adding. Buying a tool alone is not enough.

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Where you might recognize yourself

Situations companies face with AI today

Pick the situation you are dealing with. Each one points to the area where it is addressed.

"We pay for licenses and cannot say what they brought us." How people work "We did the training, and nothing changed in our work." How people work "When a task runs over several days and involves several people, we lose track." Framework for work "Colleagues use AI, but each in their own way." Tools for work "We want to change how a specific agenda or process works." Flows in the organization "We do not know where else AI could make sense." Flows in the organization "We cannot choose a model or a provider." Public AI tools "We have data that must not leave the company." Infrastructure "It is unclear which data we can enter into which AI tools." Data

Areas

Three groups of AI adoption: people's work, business operations, and a secure foundation

You do not need to know in advance which group applies to you. We start with what you are dealing with and assess what you already have and what needs adding. In some areas we have our own solution, but none requires it: the tools and systems you already use can be part of it. Areas can be handled separately or combined.

Rules · above everything Shared rules for working with data across all areas: which data may be used, where it may be entered, and who has access to it.

AI in people's work

How AI helps employees with their tasks

We help people use AI in the tasks they already do. The decisions remain theirs.

How people workIn AI Buddy, people work with AI on their real tasks. Our guide shows them, as they work, where and how to use AI until they can do it on their own. We document the change in specific activities by measuring it.our solution AI Buddy Framework for workIn tasks that run over several days, pass between people, and involve decisions, context is easily lost when working with AI. AIGrip is a framework for working with AI that grew out of practice: it helps keep track of context in longer tasks, work with earlier decisions, and reuse what was learned from work already done. AI draws on the materials from that work without any extra preparation; intent and decisions stay with the person.our solution AIGrip Tools for workWe assess which tools you already have, what needs adding, and in what environment people should work with AI. AIGrip Workspace is a work environment in the browser with sign-in through your company account, and we run it for you. It is a choice, not a condition. AIGrip is a way of working, AIGrip Workspace is a work environment, and AIGrip can be used without AIGrip Workspace.our solution AIGrip Workspace

AI in business operations

Using AI in business processes and agendas

AI is brought into business processes and agendas that are not tied to the work of one specific person.

Flows in the organizationWe bring AI into the whole flow of business processes and agendas, for example in handling information and documents, customer requests, orders and payments, or the flow of goods and services. The whole flow is addressed, not a single step, including where an existing system or process already runs. We deliver the solution as a project; on your side it needs a person who is responsible for the process.delivered as a project

People's work and business processes both stand on a secure foundation

Secure foundation

AI services, technical environment, and business data

The choice of AI services, the environment they run in, and the rules for working with data. It covers both people's work and business processes.

Public AI toolsModels and services available on the market. For most uses they are the fastest route to a result and need no servers of your own. We choose based on which tasks each one suits, not on what happens to be licensed. Which business data may be entered into them depends on the rules for that type of data.InfrastructureWhere AI runs and under what conditions: what may happen to data, what it costs, how much capacity it needs, and who will operate it. Everyday tasks can use available AI services right away. For data that must not leave the company, we design a dedicated environment to your specific requirements.DataTogether with you, we set the rules for which business data may be used, where it may be processed, and who has access to it. AI can draw on your business materials when answering, with a traceable source.

How it works

We build on what you already have

Tools, licenses, documents, and earlier decisions are our starting point. We assess what can be used and what needs adding.

We work on real tasks

We work on the work people already do, not on practice examples or a separate tool rollout project.

Shared rules for working with data

The same data regime applies in every area, even when different tools are used. For each rule we say whether it can be enforced technically or whether it depends on people.

Areas can be handled separately or combined

They are not mandatory steps in a fixed order. They can be combined or handled separately as needed. Each changes something different, so you never pay twice for the same thing.

From work to processes

How a work aid can become part of a business process

A tool a person creates while working with AI can gradually help colleagues with similar tasks. Once it is used across a whole agenda, it needs an owner and rules, and it becomes part of how the business runs.

Proposals for change like this come from real work and come with a rationale. Not every tool spreads this way. Most stay with the work they came from.

From practice

How our way of working with AI came about

This way of working grew out of our own tasks and our work on customer topics. Practices that did not hold up in practice were dropped. More than a hundred people work with AI in this framework today.

What you get

People who work with AI on their own

They use AI in their own tasks and can keep going after the initial guidance.

Work you can pick up again

It does not start from scratch, and another person can take it over.

AI in business operations

Business processes where AI is used where it makes sense.

Tools and rules in one place

A work environment, a catalog of tools, and a single data regime.

An environment for data that must not leave

Without a second platform and without dependence on a single vendor.

Evidence instead of impressions

The difference measured on the same activities, an overview of the real state of work, and measured consumption.

Boundaries

What AI adoption does not do

We do not prescribe one tool for everyone, and we do not start by choosing one.
AI does not replace human judgment. Intent, decisions, and responsibility stay with the person.
We do not measure individual work performance as part of adoption.
AI adoption is not a course in operating a tool. If your people need to learn a specific tool, training is the right format.
We do not promise a specific result in advance. We measure and document the changes.
We do not replace a company-wide AI platform. If you are building one, the infrastructure design takes it into account.
We do not develop our own language model. We choose from the models available.
We do not treat data protection and compliance as an automatic feature of the solution. They are assessed for each specific deployment, and your organization approves the decisions.

How to get started

For the first meeting, one specific task or agenda that slows you down is enough. Together we look at what you already have, what needs adding, and which areas the problem touches. You do not need to choose a tool in advance, and we do not start with a separate rollout project.

Pick one piece of work that slows you down

You do not need to choose a tool first. No commitment.

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