AI in Norwegian small businesses — from hype to practical value

Artificial intelligence is no longer just a tech buzzword. In 2026, more and more Norwegian businesses use AI in their daily work. The question is no longer whether small businesses should engage with AI — but how the technology can be used safely and practically to create real value.

For a small business, AI doesn't have to mean major investments, complicated systems or a dedicated IT department.

It can start with something as simple as using AI to write a first draft of a quote, summarize a meeting, answer common customer inquiries, or structure information.

That's the difference between AI as hype and AI as practical value.

AI adoption is growing sharply in Norwegian business

The development is moving fast.

According to Statistics Norway (SSB), around 30 percent of Norwegian businesses with at least ten employees reported using one or more AI technologies in 2025. That was up from around 20 percent in 2024 and 10 percent in 2023.

A broader survey conducted by Samfunnsøkonomisk Analyse for NHO, Abelia, NHO Elektro, Fornybar Norge and Norsk Industri found that 55 percent of Norwegian businesses reported using AI in 2025, up from 24 percent in 2023. The difference between the figures is partly due to different samples and definitions across the surveys.

So the interesting question isn't just how many businesses use AI.

The interesting question is how they use it.

From ChatGPT to a working tool

Many businesses have already tried generative AI like ChatGPT, Copilot or similar services.

But there's a big difference between:

"We use ChatGPT now and then."

and:

"We've built AI into our work processes."

The first can give individual productivity gains. The second can change how the business works.

Before:

Customer sends email → employee reads it → information is copied → reply is written → task is logged → customer is followed up

With a digital workflow:

Customer sends information → the system structures the inquiry → AI suggests replies and tasks → information is logged → employee checks it → customer gets a reply

The human is still responsible. But much of the administrative groundwork can happen faster.

Where can a small business use AI?

There's no single AI solution that fits everyone. The best starting point is to look at the business's own work processes. Here are some areas where many small businesses can begin.

1. Writing and improving text

AI can help with first drafts of:

• Quotes
• Emails
• Website copy
• Product descriptions
• Blog posts
• Newsletters
• Ads
• Presentations
• Internal documents
• Procedure descriptions

This doesn't mean the text should be published uncritically. A good working model is:

AI creates a draft → human reviews it → the business adapts it → publishing

That way, AI can save time without the business losing its own voice.

2. Customer service

Many small businesses get the same questions over and over. For example:

• How much does the treatment cost?
• What are your opening hours?
• How do I book?
• How does cancellation work?
• What's your delivery time?
• Where can I find information about the service?

An AI-based chat solution can handle many of these questions. When a case gets more complicated, it can be forwarded to an employee.

This can give a combination of: 24/7 availability + human follow-up.

3. Booking and appointments

For businesses that work with customers on an appointment basis, AI can be combined with booking. That could be, for example:

• Hairdressers
• Therapists
• Massage clinics
• Dental clinics
• Consultants
• Tradespeople
• Gyms
• Photographers
• Advisors

The customer can describe what they need. The system can then help guide the customer to the right service and time slot.

Website → booking → payment → confirmation → reminder → follow-up

4. From site visit to report

This is an area where digitalization and AI can be combined in an interesting way. Think of a tradesperson, a valuer, or a damage inspector.

During a site visit, they gather:

• Photos
• Video
• Voice recordings
• Notes
• The customer's description
• Measurements
• Other documentation

Instead of the employee having to start completely from scratch afterward, the information can be structured digitally. AI can help with a first draft of:

Site visit report → summary → actions → documentation → customer information

The professional still has to review the content. But the administrative work can become significantly easier.

5. Meetings and decisions

How much information gets lost after a meeting? A meeting can result in decisions, tasks, responsibilities, deadlines, new ideas and follow-ups. AI can help structure this. Instead of a long set of minutes, the result can be:

From meeting to action.

This is exactly where AI can go from interesting technology to practical business value.

6. Marketing

Small businesses often know they should be more visible online, but there isn't enough time. AI can help with idea generation and first drafts for:

• Facebook posts
• Instagram posts
• Articles
• SEO copy
• Campaigns
• Newsletters
• Video scripts
• Ads
• Product copy

But AI shouldn't be the business's only creative force. The best results often come when the business's knowledge and experience are combined with AI.

The business knows the customer. AI can help with structure and production.

7. Sales and follow-up

AI can also help in the sales process. A potential customer might, for example, fill out a form on the website. That information can be used to:

1. Structure the need
2. Categorize the inquiry
3. Suggest a next step
4. Create a first draft reply
5. Register the customer
6. Follow up later

This helps build a more coherent customer journey:

Visitor → lead → dialogue → quote → customer → follow-up

8. Internal knowledge

Many small businesses have another problem: they know a lot – but the knowledge is hard to find. The information might be scattered across PDFs, Word documents, Excel files, emails, websites, folders, old quotes and procedure descriptions.

An internal AI solution can make information easier to access. An employee might, for example, ask:

"How do we handle a cancellation?"

or:

"What do our procedures say for this type of job?"

Instead of searching through several documents, the system can help find the relevant information.

AI can be especially interesting for small businesses

Norway has a very large number of small businesses. SSB's business statistics show that at the start of 2026 there were 656,492 active businesses, of which over 103,000 had 1–4 employees and around 40,000 had 5–9 employees.

For a business with four or five employees, one hour saved per person per week can add up to many work hours over the year. So the gain from AI doesn't necessarily have to be spectacular. It could be:

• 10 minutes saved here
• 20 minutes saved there
• One less administrative task
• Faster customer replies
• Less duplicated work

Over time, this can add up to a lot.

So why doesn't everyone use AI?

There are still significant barriers. SSB found in 2025 that among businesses that didn't use AI, 77 percent cited a lack of relevant expertise as a main reason. About four in ten also cited concerns about data, privacy or legal consequences.

This is interesting. Because the challenge isn't necessarily that the technology is inaccessible. The challenge can be:

• Where should we start?
• What should we use it for?
• What's safe to do?
• What data can we use?
• How do we check the results?

Don't automate chaos

This might be the most important rule. If the work process is poor, adding AI on top of it doesn't necessarily help. Instead, start like this:

1. Map it out
What do you spend the most time on?

2. Simplify
Can the work process be made simpler?

3. Digitize
Can the information be moved from paper, email or manual routines into a digital system?

4. Automate
Can certain steps be carried out automatically?

5. Use AI
Where can AI contribute analysis, text, structure or decision support?

This leads to a far more controlled development.

Privacy has to be part of the solution

AI makes it possible to process large amounts of information, but that doesn't mean all information should be entered into every AI service.

The Norwegian Data Protection Authority (Datatilsynet) recommends, among other things, that businesses assess privacy and risk before adopting AI systems, and set requirements for the solutions they buy. The business should, among other things, have control over:

• What data is being processed
• What personal data is being used
• Who gets access
• Where the data is stored
• Which suppliers are used
• What agreements apply
• How the information is deleted
• How the results are checked

AI should make the business smarter — not create new security problems.

Norway is also building out support for AI

In June 2026, the government launched KI Norge, a national initiative under the Norwegian Digitalisation Agency.

The aim is, among other things, to make it easier for businesses — particularly small and medium-sized ones — to understand regulations, find relevant tools, and get started with AI in a safe and responsible way.

This means AI is no longer just a topic for the tech industry. It has become part of the broader digitalization of Norwegian business.

From "we should use AI" to "we use AI"

It's easy to talk about AI. It's harder to get the technology to create concrete value. So a small business can start with one simple question:

What do we do every week that we really shouldn't be spending so much time on?

Maybe it's quotes, reports, customer service, documentation, booking, marketing, meeting work, follow-up, or administration.

Pick one task. Test it. Measure the result. Improve it. Then move on.

A simple 30-day AI plan

Week 1 – Find the opportunity
Make a list of 10 work tasks that take a lot of time. Mark the three that happen often, are time-consuming, have clear work processes, and don't require a human to do everything manually.

Week 2 – Test
Pick one task. Build a simple AI prototype. It can be as simple as:

Customer email → AI draft → human check → reply

Week 3 – Integrate
If the test works, it can be connected to the business's digital workflow. For example:

Website → form → database → AI → employee → customer

Week 4 – Measure
Look at: How much time did we save? Did quality improve? Were customers more satisfied? Were there fewer errors? Can the process be improved further?

Now you've gone from idea to experience.

From technology to momentum

AI is not the goal.

Momentum is the goal.

The technology is just a tool. So the most important question isn't which AI model the business uses. The most important question is which problem you're solving.

A small business might not need an advanced AI agent. Maybe a better website, booking, and automatic messages are enough.

Another business might need digital site inspections, documentation, and an AI-generated report.

A third might need a customer database, automated follow-up, and an AI assistant.

The solution should be built around the business — not the other way around.

1Fremdrift — from idea to digital solution

At 1Fremdrift, digital development is about more than building a website. It's about looking at the whole process: What does the business do today? Where do the problems arise? Where are you spending unnecessary time? What can be digitized? What can be automated? Where can AI help?

The solution can then be built step by step. That could include:

• Professional websites
• Booking and appointment systems
• Digital forms
• Site visits and documentation
• Customer solutions
• Automated work processes
• AI integrations
• Online stores
• CRM and customer management
• Digital presentations
• Reporting and documentation

Conclusion

Artificial intelligence is no longer just a future technology. It's already part of Norwegian business life.

SSB's figures show clear growth in AI adoption among businesses, while NHO's broader survey shows that by 2025, AI had been adopted by more than half of the businesses that took part in their survey. At the same time, the figures show that expertise, privacy and legal uncertainty remain important barriers.

For small businesses, the path forward doesn't have to be complicated.

Start with a problem. Find a process. Test one solution. Measure the result. Build further.

That's how you go from AI hype to practical value to real momentum.

Sources and further reading

• Statistics Norway (SSB) – AI adoption has accelerated over the past year
• NHO – AI adoption has doubled in the business sector
• The Norwegian Government – KI Norge
• The Norwegian Data Protection Authority – Artificial intelligence and privacy