The real problem is rarely the technology
There's no shortage of tools – but there is a shortage of clear starting points. Many companies try out individual tools without any measurable benefit coming from it. The cause is almost always the same: the link between the technology and a concrete business problem is missing.
The better path reverses the order: first the problem, then the tool. Which process wastes time today? Where are customers waiting too long for answers? What knowledge exists in the company but is hard to find?
A four-step approach
- 01Review your processes: collect the most time-consuming, recurring workflows – ideally with the people who run them every day.
- 02Evaluate and prioritize: assess benefit and feasibility for each process; pick a single, clearly scoped process to start with.
- 03Implement small: build a solution for exactly that process and test it in daily operations – with defined success criteria.
- 04Learn and expand: measure the results, improve the solution, and only then move on to the next use case.
Typical first projects for SMEs
Proven entry points include an internal knowledge assistant that makes scattered documents searchable, automatic classification and pre-sorting of emails and requests, or AI-assisted preparation of quotes and reports. All three save measurable time, are manageable to implement, and make an immediate difference in daily work.
The most common pitfalls
- Starting too big: a company-wide “AI program” fails more often than a focused first use case.
- Tool before problem: buying the software first and then looking for a purpose – that's how unused licenses happen.
- Thinking about data protection too late: clear rules for data and access belong at the start, not the end.
- Leaving the team behind: the best solutions are built with the people who know the process – not over their heads.
What a realistic budget looks like
A sensible start doesn't have to be a major project. A potential analysis or a structured workshop clarifies, for a manageable sum, which use cases are worth pursuing – and provides the basis for a solid implementation estimate. What matters is that every euro invested is tied to a specific process and a measurable goal.