LLM Integration for Existing Products
Adding a large language model to a product that already works is mostly an engineering problem: where the data goes, how answers are checked, and what it costs to run. We build LLM features into existing software, starting from the data and the risk.
Talk to us about your projectWhat you get
Chat, summarization and data extraction inside your product
Search and question-answering over your own documents
Built into your existing code base and architecture
Provider choice made against your data and cost constraints
A written map of where your data would be sent before anything is built
Frequently asked questions
What LLM features can be added to an existing product?
Common ones are chat, summarization, extracting structured data from text, and search or question-answering over your own documents.
What happens to our data?
That is decided before building: the AI audit produces a map of which AI providers the design would send data to, so the trade-offs are explicit.
Which LLM provider would you use?
Whichever fits your requirements. The choice is made against your data, latency and cost constraints, and it is written down in the plan.
How do we start?
Usually with the $749 AI audit, which ends with a recommended approach and a build plan with a cost estimate.
Ready to talk it through?
Tell us what you want your product to do with an LLM, and where your data lives.
Contact usSee the full AI consulting and development service, or email [email protected].