The most dangerous AI selection question is “what should we buy?”. A better question is “which work do we want to improve?”.
1. A license without a scenario
If the team does not know which work AI will support, even a good tool becomes another button in the browser. First describe 3-5 real jobs: document search, analysis, proposal writing, internal questions, report summaries.
2. Messy data before AI
AI answers are only as good as the sources. If documents are duplicated, access is unclear and versions are outdated, employees will quickly lose trust in the answers.
3. ChatGPT, Copilot and Claude are compared only by demo
A good demo shows potential, but it does not show how the tool will work in your processes, with your documents, your security rules and your employee habits.
4. Adoption is forgotten
AI implementation is not finished when licenses are purchased. It needs rules, examples, training, pilot owners and a clear feedback channel.
How to choose more safely
Create a use-case list, assess data sources, check security needs, compare 2-3 tools through a real pilot and only then scale licenses.