Do I need to train AI on my company's data?

The short answer

In most cases, no. Current enterprise data, documents, policies and operational knowledge should usually remain outside model weights and be retrieved at the right moment through context, RAG, tools or governed queries. Fine-tuning makes more sense when the goal is to change behavior, linguistic specialization, output structure or performance on a stable task, not simply to teach frequently changing facts.

Onni treats knowledge, models and capabilities as separate assets. Knowledge evolves without retraining models, and models change without losing institutional intelligence.