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AI guidance for SMEs
Choose where AI belongs in your business.
AI is not worthwhile everywhere. For small and medium-sized businesses, the starting point is a clear operational benefit: less searching, shorter workflows, accessible knowledge or better-informed decisions, with manageable risk.
Where AI can support an SME.
Useful projects start with a recurring task rather than a particular tool.
Prepare and review documents
Draft proposals, minutes, reports or service replies from existing information. Responsibilities for professional review and approval remain explicit.
Organise recurring incoming work
Emails, requests, receipts or reports can be structured and routed to the right person before a decision is made.
Retain practical experience
Document experienced colleagues’ working methods so they can support onboarding and cover. The knowledge needs to be captured and checked; AI does not replace the people who hold it.
Three ways to begin using AI.
The right starting point depends on whether you need direction, skills or a specific application.
A workshop and opportunity assessment
Management and departments evaluate tasks by their value, available data, risks and feasibility.
Outcome: a reasoned order of priorities
Training and working routines
Employees practise suitable tools, data protection, review steps and repeatable workflows with familiar examples.
Outcome: shared rules and practical skills
A pilot and integration
Test a defined workflow with actual users and measure the result before integrating it into systems or ongoing operations.
Outcome: evidence before a larger investment
What a well-chosen AI project needs.
A specific problem
Identify the task that consumes time, produces errors or depends on a small number of people.
Users who take part
The people who will use the solution help test it and judge its quality, limits and fit with everyday work.
Clear data requirements
Discuss sources, access, protection needs and retention before implementation.
A measurable benefit
Decide in advance whether the aim is to improve search time, processing time, follow-up questions or error rates.
From recurring work to evidence for a decision.
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01
Understand the task and people involved
We talk to the people who know the workflow and examine inputs, outputs, exceptions and current tools.
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02
Assess benefits and risks
Together we consider the available data, quality requirements, data protection, integration effort and expected reduction in work.
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03
Run a limited test
A pilot handles one clearly defined case. Actual users test both the technology and the way of working it introduces.
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04
Introduce and operate
Once the evidence supports the expected value and quality, we plan integration, training, documentation, maintenance and ongoing operations.
Explore the next step that fits your situation.
AI explained simply
Key terms, common mistakes and first steps for people without a technical background.
Read the introductionImplementation for small businesses
Concrete workflows and bounded applications for a small team, with an entry point that fits your budget.
Explore small-business implementationProject prices and the AI audit
See cost examples, what affects the scope and how an assessment is credited towards subsequent work.
See prices and audit termsQuestions about AI adoption in SMEs
Where should an SME start with AI?
Choose a recurring workflow with visible effort or repeated questions. An initial discussion can identify whether training, an existing tool or a small pilot deserves a closer look. A workshop is one option, not a prerequisite.
Do we need an AI strategy first?
No. A specific problem, involved employees and a willingness to assess benefits and risks are enough to start. A wider strategy can build on the evidence from early projects.
Can AI be worthwhile for a small business?
Yes, when the task is well defined. Faster information retrieval or less repetitive administration may help a small team. Custom development is not always necessary; include review effort and ongoing costs in the decision.
Do older employees need special consideration during introduction?
Consider the different experience levels throughout the team. Clear language, practical examples, sufficient practice time and people to ask help employees of all ages.
What does a first AI project cost?
Simple, clearly scoped applications start at EUR 2,000 excluding VAT. For a detailed assessment, our audit costs EUR 500 excluding VAT and is fully credited towards subsequent consulting or implementation. If no economically worthwhile AI use is identified, the audit fee is waived; only expenses agreed in advance remain payable. Infrastructure, licences and support may cost extra.
You know the workflow, but do not have a finished AI idea?
That is enough to begin. Describe where time is being lost. We discuss whether AI is relevant and what a useful, limited next step could be.
Start with a real business problem.
We work through the task, possible value, data and next decision with you.