Artificial intelligence is more present than ever. Whether in the news or in conversations with business partners, the topic is everywhere. At the same time, the market offers a wide range of software solutions with big promises and high prices.
For small and medium-sized enterprises (SMEs), there is often pressure to act immediately. Before investing in licenses, however, a clear strategy is needed. How can AI be effectively used in your business?
1. The Equation: Cost and Benefit
It's tempting to quickly subscribe to an application to boost revenue. However, software only pays off when it solves a specific problem in your daily operations.
The key strategic question is not what the application costs. What matters is what the problem costs that the application solves. Compare the price of the software against the opportunity costs. If an AI solution costs 200 euros per month but saves your team ten hours per week on data maintenance, the investment is worthwhile. If you only use a fraction of the features, the software becomes a cost trap.
2. AI Is Not a Search Engine
A common mistake is treating artificial intelligence as an advanced search engine. This leaves its potential untapped.
To generate real value, you need to understand how to collaborate with AI. Think of the technology as a capable assistant for complex workflows. Two practical examples illustrate this approach:
In E-Commerce: Automating Product Data
Suppose you receive a spreadsheet from a supplier with hundreds of new items. Previously, employees had to manually transfer each record into the system. A properly integrated AI takes over the unstructured raw data. It organizes the information, independently writes SEO-optimized product descriptions, and assigns items to the correct shop categories. In parallel, the system can analyze incoming customer inquiries, directly answer standard questions about delivery times, and forward specific complaints to your team in a pre-sorted manner.
In the Service Sector: Preparation and Analysis
Imagine a consulting agency. Clients often send extensive documents before a meeting. Instead of reviewing these files manually, you hand the documents over to an AI. The system reads contracts or project descriptions, filters out the relevant key data, and creates a structured summary for the consultant. Based on this data, the technology can even draft initial concept approaches. The consultant enters the meeting well-prepared and saves hours of research work.
In both cases, success depends on the precise formulation of tasks. The more detailed you explain your process to the AI, the better the result.
3. Your Digital Landscape
This is a blind spot for many businesses. AI requires data and defined workflows. Before thinking about automation, examine the infrastructure in your company:
- How digital are your processes today?
- Is data stored centrally or in filing cabinets and isolated spreadsheets?
- Are there standardized workflows that an AI can learn?
The rule of automation states: Digitizing a bad analog process leads to a bad digital process. Implementing AI provides the opportunity to clean up your own infrastructure and organize workflows.
Strategy Before Action
AI offers businesses opportunities for increased efficiency. Getting started doesn't mean buying the most expensive software. Begin with an inventory. Optimize your IT landscape, identify time-intensive tasks, and then specifically search for the right AI solution.