How to deploy an LLM in your company
A practical method for integrating a language model and obtaining useful results quickly.
Deploying a language model is a software engineering project paired with focused operational adoption. The common failure is trying to build one all-knowing system for the whole company. A better start is one painful business process, one connected model and one measurable result.
Which use case should come first?
Avoid a generic assistant for every employee. Find an obvious administrative or operational bottleneck with a closed, measurable scope. Reading long commercial leases to extract exit clauses is one example. A visible first result creates the evidence needed to address other processes.
Should you host your own model?
Not by default. Running an open model requires hardware and ongoing maintenance. Professional model APIs can offer contractual confidentiality guarantees. Spend first on integration with business software. Self-hosting becomes relevant when the risk model and regulatory constraints justify its operating cost.
How should company data be prepared?
Do not begin with a multi-year cleanup of every database. Gather the current, relevant documents in a structured location and retrieve only the useful passages when the model is queried. Start with data that is clean and useful today.
Who should lead the project internally?
Pair a process expert with a technical owner. If customer support is being automated, the support manager defines the response rules while the developer connects systems and expresses those rules precisely. Without operational ownership, a technically sound tool may go unused.
How are errors and hallucinations managed?
Do not give a model final authority over a critical process. Keep human approval on the last action, and require the system to state when the supplied documents do not contain an answer. Full automation is unsafe where an error has material consequences.
What budget should be expected for a first deployment?
Model usage can cost little compared with software integration and team support. A focused pilot commonly takes several weeks. Pay for resolving a defined business problem, not for a generic internal chatbot or a technological label.