Expertise
Enterprise search and knowledge management
Before AI assistants, the same problem had another name: search. Getting the right answer from scattered documents, knowledge bases and product data is still the core of most useful AI projects. We have deployed site search, knowledge management and answer engines for large brands and know why these projects stall.
Questions we answer most
Why do internal AI assistants give bad answers?
Mostly because the source content is outdated, duplicated or missing. Retrieval-augmented generation (RAG) is only as good as what it retrieves, so content cleanup and ownership usually matter more than the model.
Should we buy a search product or build with an LLM?
If your need is finding documents across common tools, a product usually wins on cost and maintenance. If answers need your own data, workflows or permissions logic, a lighter custom build on top of a model provider can make sense. We help you decide with your real content.
What should we measure?
Search success rate, questions with no good answer, time to answer and deflected tickets. Keep a fixed test set of real questions so you can tell if changes help.
Have a question in this area?
Book a one-off call from $250, or keep us on retainer from $1,400 a month for ongoing questions and reviews.