Many small businesses want to “use AI” but don’t know where to begin. The practical answer is not to ask which model to use, but which step of a process needs AI and which doesn’t.
Where AI genuinely helps
- Reading documents laid out in different ways: orders, invoices, contracts.
- Understanding what an email or message is about and routing it.
- Extracting data from unstructured text.
- Drafting replies for a person to review.
Where traditional software is enough
Calculations, price-list matching, consistency checks, writing to the ERP. The rules are clear here, and traditional software is faster, cheaper and always predictable.
Where a person should decide
Discounts, exceptions, customer relationships and anything with significant financial impact. Automation prepares the work; the decision stays with you.
Why a single “AI agent” isn’t enough
One agent that does everything looks great in a demo, but in a real process it makes mistakes without noticing and without a trace. Splitting the work between AI, software and people makes the process reliable, traceable and cheaper.
Costs: what really drives them
The cost of an AI solution doesn’t depend on the model alone. What matters is how many documents are processed, how long they are and how often AI is really needed. Using traditional software for checks and calculations, and keeping AI for reading documents, cuts running costs significantly.
Privacy and company data
- We use business versions of AI services, which contractually don’t train on customer data.
- Where possible, data stays on infrastructure in the EU.
- Every access to company systems is limited to what’s needed and can be revoked.
- Every step is logged, so you can always reconstruct who did what.
Frequently asked questions
Which AI model is best for a small business?
It depends on the task. It often pays to combine models: a stronger one for complex documents, a cheaper one for simple tasks.
Will AI replace employees?
No: it takes over repetitive tasks and frees up time for customers and decisions.
Do we need an in-house tech team?
No. We design, build and maintain the solution; your team just uses it.