Category: AI Implementation

Artificial intelligence has become remarkably easy to try. A team can open an AI assistant, connect a model to a few documents, create an internal prototype, or automate part of a workflow in days rather than months. That accessibility is valuable. It is also one reason organizations can mistake experimentation for implementation. The difference matters.…