One Answer From Six Tools: A Company-Wide Knowledge Base
Business requirements, product specs, engineering tickets and support FAQs lived across Notion, Confluence, Linear, Jira, Google Drive and GitHub, and rarely agreed. We built an AI-powered knowledge base that reads all six, links what belongs together, answers with sources, and raises an alert when two departments disagree.
Everyone Had the Answer. Nobody Had the Same One.
Business wrote requirements in Notion. Product wrote specifications in Confluence. Engineering tracked implementation in Linear, bugs in Jira and code in GitHub. Customer service kept its FAQs in Google Drive. Every team was diligent, and none of it was connected.
A support agent couldn't tell whether a reported bug was known, fixed or by design. A product manager couldn't see which requirement a ticket came from. New hires spent their first month asking. The company wanted one place to ask a question and get an answer that cited where it came from, without asking anyone to change the tools they already used.
A Knowledge Graph That Answers, and Tells You When It Can’t
Connectors that continuously ingest from Notion, Confluence, Linear, Jira, Google Drive and GitHub, a linking layer that ties requirements to specs to tickets to FAQs, an assistant that answers in plain language with citations, respecting each person’s existing permissions, and a discrepancy monitor that flags conflicting knowledge between departments before someone acts on it.
Twenty-Two Weeks, One Department at a Time
Six connectors in twenty-two weeks came from building the way the product itself works: connector scaffolding, tests and documentation generated with AI tooling, then reviewed and hardened by the engineers who own them.
Map the questions
We collected the two hundred questions people asked each other over three weeks and used them as the evaluation set for everything that followed.
Engineering first
Linear, Jira and GitHub connectors shipped first, with the assistant answering only engineering questions. Accuracy on the evaluation set, not features, gated each release.
Product and business
Notion, Confluence and Google Drive connected, and the linking layer began tying requirements to specs to tickets. This is where the disagreements between teams first became visible, and where the discrepancy alerts were born: what started as a report became a notification to the owners of both documents.
Customer service
FAQs connected, the assistant embedded in the support tool, and discrepancy alerts running across all four departments. Handed over with evals, runbooks and a connector template for whatever tool comes next.
Is Your Company’s Knowledge Spread Across Too Many Tools?
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