Artificial intelligence is presented today as a universal solution, capable of transforming any business overnight. In practice, the SMEs we support mainly benefit from specific use cases, far from the most spectacular promises.
Automated document processing (invoices, forms, contracts) remains one of the most cost-effective uses in the short term: it reduces repetitive, error-prone work without requiring a complete overhaul of existing systems. Similarly, conversational assistants for customer support can handle simple, repetitive requests, leaving complex cases to human teams.
The most common mistake we see is wanting to automate a poorly defined process from the start: AI amplifies the efficiency of a clear process, but it just as much amplifies the dysfunctions of a poorly designed one. The first step, therefore, isn't technological — it's organizational.
Our recommendation for an SME starting out: choose one precise, low-risk use case, measure its actual impact before extending automation to other processes. This gradual approach avoids disproportionate investments for uncertain results, and builds lasting adoption within teams.