Not RAG, but a Wiki in Git: How Analysts Teach an AI Agent to Work with Knowledge

Team knowledge is scattered: personal notes, Confluence, Bitbucket—there's no single place. We're increasingly asking LLMs, but the model doesn't understand the specifics of teams (who has what role, how the process is structured), doesn't suggest where to look, and often just makes things up. 

We've found a different approach—not "another smart search" or classic RAG. It's an approach that gathers team knowledge in a single framework and gives the analyst a tool to manage it: a knowledge base in Git, clear instructions for the AI agent, and human review of changes. 

The talk features a real-world case study, common practical mistakes, and how the role of the systems analyst is changing: from page author to rule setter and agent reviewer. You'll walk away with a framework you can build yourself.