Custom LLMs: when they actually help a business

Not every company needs a custom model. Many need a better website first. That said, when your team lives in documents, SOPs, and tribal knowledge, a well-built assistant can save real hours every week.

The useful pattern: retrieval over hype

Most business wins come from retrieval-augmented systems — the model answers using your manuals, policies, and product docs — not from training a giant model from scratch. We design for that: grounded answers, clear sources, controlled access.

Start with a workflow, not a chatbot toy

Good projects start with a painful question: “What does staff ask every day that is buried in a PDF?” Then we build the pipeline, UI, and hosting posture around that job. Flashy demos without a workflow die in a month.

Security is part of the product

Internal assistants should not casually leak client data into random public tools. We talk early about private vs public models, access control, and what never leaves your environment. If AI is not the right step yet, we will say so and fix the website or app instead.