Current state · Guidelines · Plan
Many companies want to use AI but lack a shared direction. We develop an AI strategy for your company, with policy, guidelines, and a plan that employees can follow in their daily work.
The foundation
An AI strategy is a plan for how your company will use AI. It answers where AI adds the most value for you, which tools to invest in, which risks need to be managed, and who does what.
It is not a document written to be shown off. A strategy that does not show up in daily work has not done its job. It often goes hand in hand with a training effort, because a plan without knowledge stays on paper.
It is also about staying competitive. Companies that give employees direction and knowledge early are already building new ways of working while others are still deliberating.
How it works
Every company has its own context, so the work always starts with you. From start to finished strategy takes a few weeks to a few months.
Step 01
We map how AI is being used today, openly and behind the scenes, which systems you work in, and where time goes.
Step 02
We zero in on where AI adds the most value for you and which risks need to be managed, both technical and organizational.
Step 03
You get a concrete plan with goals, priorities, and decisions, shaped around your business and what you want to achieve.
Step 04
Guidelines for what the tools may be used for, how sensitive information is handled, and what the EU AI Act requires.
Step 05
The strategy should show up in daily work, often through training, and we follow up so you know what it has delivered.
View our trainingAI policy
An AI policy answers the questions before they become problems. Employees get clear answers instead of making their own guesses, and the organization has a shared standard to fall back on.
We develop it together with you, in line with the EU AI Act and with your way of working as the starting point. A short document with direct answers, written to make doing the right thing easy.
What the policy answers
From experience
We have followed many AI initiatives closely, and it is rarely the technology itself that determines how things go. More often it comes down to preparation, and that is exactly what a strategy gives you.
Tools get rolled out and license fees are paid month after month, but without training few employees get going. The effort looks done on paper, even though it never really started.
The plan gets written, presented at a meeting, and then forgotten. Without clear ownership and a defined next step, it becomes a document nobody opens again, no matter how good the analysis behind it was.
Without guidelines, many employees use AI anyway, but with personal accounts, based on their own judgment. What could have been an asset for the company becomes a risk that nobody can keep track of.
Without measurement, it is hard to see what the effort has changed. When the next investment needs to be justified, there are no numbers to point to, and what cannot be shown tends to get cut when the budget is set.
AI maturity
AI maturity is more than technology. It shows up in how employees actually use the tools, how work methods keep pace, and the choices you've made.
That's why strategy work starts with an honest picture of where you are.
A current-state analysis of your AI maturity. You get a personalized report with your current position, an overview of risks, and suggested next steps. It costs nothing and is a good starting point for the strategy work.
Find out where you stand
Head of AI advisory and often the first person you talk to. Elias has heard where companies of all kinds stand, helps you pinpoint what you actually need, and finds an approach that fits your organization.
CEO and training facilitator. André is often the one who dives into your business to find where AI fits, drawing on years of training sessions across Sweden and online.
Contact
Tell us how things look at your end and what you want AI to do for your business. We'll get back to you with a suggested approach to the strategy work. The first conversation is completely without obligation.
Thank you so much!
Your message is on its way. We'll be in touch within one business day, usually sooner.
An AI strategy is a plan for how your company will use AI. It describes where AI adds the most value for you, which tools you will invest in, which risks need to be managed, and how employees will gain the knowledge to work with them. With us, it is always short enough to read and concrete enough to follow.
Because without one, efforts tend to scatter. Without a shared direction, licenses get bought that nobody uses, employees go their own way, and no one knows what's worked. A strategy gives the management team a shared direction, so that time and money go where they matter and risks are handled in time.
Start by finding out where you stand. Which tools already exist, how they're being used, and where time goes today. Then choose a direction, set guidelines, and give employees training in the tools you've chosen. If you want support all the way through, we'll take you through A journey of change.
A current-state analysis, a review of opportunities and risks, a concrete plan with goals and priorities, and policy and guidelines. Often also training for employees, since implementation lives or dies by their knowledge.
It depends on your size and needs. Sometimes the strategy is part of a larger training effort, sometimes it is a separate assignment. Describe your organization briefly in the form above, and we'll get back to you within one business day.
From a few weeks to a few months, depending on size and ambition. We work at your pace.
We prefer to call ourselves trainers, but in strategy work we do what an AI consultant does. We analyze the current state, develop policy and a plan, and help you choose tools. The difference is that we always connect the plan to training, so it gets used in daily work.
An AI policy is a short document that gives employees clear boundaries. Which tools are approved, what applies to the company's and customers' information, and who to ask when something feels uncertain. We help you develop a policy that fits your organization and that employees can actually follow.
If you use AI within the EU, you are affected to some degree by the EU AI Act. For most companies, it comes down to basic requirements, such as that employees who work with AI must have adequate knowledge and that certain use cases are restricted. We help you figure out what applies to your organization specifically.
AI maturity is a measure of how ready your organization is to work with AI. It lives in the technology you have, but just as much in how employees actually use it and in the decisions you have made. Our AI maturity test gives you a picture of where you stand and what the next step should be, and it costs nothing.
Tool selection is often part of the strategy work, and we help you choose based on how you work today. Copilot, ChatGPT, and Gemini have different strengths and suit different workplaces, and our training covers all three.
Nothing dramatic, but the gap widens. Employees start using AI on their own without guidelines, and companies that have already started get to build habits and new ways of working. Starting on a small scale with a clear direction usually works better than waiting for the perfect moment.
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