Bringing AI into your company: where to start?
Language models open concrete opportunities for SMEs. Here is a simple method to identify the right use cases and avoid pitfalls.
Generative AI is no longer reserved for large companies. With the right tools, an SME can automate repetitive tasks within weeks and free up time for what matters.
1. Start from pain points, not technology
List the tasks that consume your teams' time: answering the same customer questions, entering data from documents, writing reports, searching internal information. The best AI use cases are repetitive, frequent and well documented.
2. Prototype on real data
A few days of prototyping on your real documents is worth more than months of study. Measure answer quality, identify limits and adjust.
3. Keep a human in the loop
For sensitive tasks, AI proposes and a human validates. This reduces risk while delivering immediate productivity gains.
4. Protect your data
Choose providers that do not train on your data, encrypt exchanges and restrict access. In some cases, a self-hosted open-source model is the right answer.
5. Measure and iterate
Define simple indicators (time saved, error rate, satisfaction) and evolve the solution based on feedback.
Want to identify priority use cases for your company? Contact us for a free first discussion.