AI adoption is rising quickly, but many organisations still lack a defined purpose. Statistics Sweden reports that 35 per cent of Swedish enterprises with at least ten employees used some form of AI in 2025. Among businesses that considered AI but did not adopt it, a lack of relevant expertise was the most common barrier.
This makes adoption a business and capability question, not merely a technology choice. The following seven steps provide a structure that small and medium-sized businesses can use without creating an unnecessarily large programme.
Working model
Step by step
Start with a concrete problem
Choose a recurring task where time, quality or sales can improve, such as research, proposal preparation, campaign drafts or product copy.
Describe the baseline
Document the steps, time, information sources and quality requirements. Without a baseline, you cannot determine whether AI improves the work.
Classify the information
Decide what may be used, what must be anonymised and what must never leave the organisation's approved systems.
Build a small pilot
Test a limited workflow with realistic but safe examples. Define instructions, inputs, format and a clear review point before the result is used.
Assign a human owner
Someone must own the instructions, verify facts and tone and be able to stop the workflow. AI produces; the business remains accountable.
Measure value and errors
Track measures such as minutes per task, corrections, lead time, conversion or customer response. Measure benefits and quality failures.
Document and scale carefully
Once the pilot works, document the process, risks, responsibilities and training needs. Then expand one proven workflow at a time.
Control points
Make these points clear before moving forward
- Which business objective should the workflow support?
- Which information and systems may be used?
- Who reviews the result and who is ultimately accountable?
- Which measure determines whether the pilot continues?
- How will the people using or supervising the workflow build appropriate AI literacy?
Important perspective
AI literacy belongs in the implementation plan
European Commission guidance describes AI literacy as an obligation for providers and deployers under Article 4 of the AI Act. The appropriate measures depend on the role, technology and context. In practice, affected staff need to understand capabilities, limitations and risks. Businesses should seek specialist advice for legal or high-risk questions.
Questions and answers
Common questions
Which AI project should a smaller business start with?
Choose a frequent text- or information-based task where the output is easy to review and sensitive data can be avoided.
How long should a pilot run?
Long enough to cover several real work cycles. For many administrative and marketing workflows, a few weeks can provide an initial basis for a decision.
Who should own the AI work?
A person with authority and operational knowledge should own the use case. Technical capability matters, but business and quality accountability must remain clear.
Sources and method
Official sources and hands-on experience
This guide combines hands-on commercial experience with current primary sources. Generative AI was used as editorial support when structuring the content.
- Statistics Sweden: Artificial intelligence in enterprises 2025
- European Commission: AI literacy – questions and answers