We rewrite and optimise your internal documentation for AI, giving it deep enterprise context. This unlocks substantially better LLM results across all AI workflows.
PROBLEM:
• AI teams struggle with LLM accuracy building AI workflows and agents because of messy, conflicting, fragmented internal knowledge.
• Internal knowledge conflicts, uses undefined jargon and rely on unstated company assumptions & context.
• LLMs are like Day 0 fresh hires – they can’t understand this documentation properly without someone explaining context to them.
• Furthermore, vector search suffers from poorer retrieval accuracy when company context and terms are not present in a knowledge article
WHAT WE DO
• Clean & De-Conflict: Our AI agents read every doc, resolve contradictions, and builds content relationships.
• Context Distillation: Our AI agents read & compare related docs, distills context and rewrites an LLM-optimised version of your internal documentation. Optional human-approval ensures 100% confidence in the output.
THE OUTCOME
• Agents and chatbots that actually understand your enterprise context.
• Retrieval that delivers precise, policy-aligned answers on the first try.
• A living knowledge base that stays synchronized with every new doc revision.
