Many organisations cannot send internal documents to cloud services. Running a language model on-premise removes that barrier: the model runs on your infrastructure and the data never leaves.
From problem to model
Start with one concrete problem — for example Q&A over internal policies, or contract summaries. Then choose a suitable model, quantize it and serve it with tools such as vLLM or Ollama.
RAG and fine-tuning
To ground answers in your knowledge, use RAG: documents are indexed into a vector database and the model reads relevant passages before answering. When a specific tone or vocabulary matters, add fine-tuning with methods such as LoRA.
Measuring the pilot
A pilot needs a clear metric — for example the share of correct answers on a set of real questions. Once results are in, plan access control, audit logging and roll-out to other teams.