Contextual Knowledge Search Assistant

Teams often need to revisit past discussions to understand whether something was already solved or if a similar approach was tried before. This information exists across Slack, Jira, and Teams, but it’s spread out and not easy to rediscover when needed. At the same time, there are clear expectations around privacy. Any system working on internal data should avoid accessing: Private channels Direct (1:1) messages The challenge is to make past knowledge accessible in a useful way while staying within these safe and transparent boundaries.

The tool AI focuses only on public channel data from tools like Slack, Jira, and Teams. It does not access private channels or direct messages. The system: 1. Collects and structures public conversations. 2. Makes them searchable using semantic understanding. 3. Retrieves relevant context based on the question. 4. Generates answers grounded in actual past discussions. It also helps in: - identifying decisions that were made - surfacing solutions or fixes discussed earlier - capturing useful context that would otherwise be lost over time The goal is not just to store information, but to make it easy to understand what has already happened and why.