Guru AI

Guru's Knowledge Agents are retrieval over your connected systems, returned as answers with citations. Prebuilt connectors reach Guru hubs plus Google Drive, SharePoint, Confluence, Notion, Slack and Teams; an administrator fixes each agent's scope, allowed platforms and instructions. A question gathers snippets from every connected location into a reply with reference markers, plus threaded follow-up, an analytical mode for harder queries and a way to file an exchange as a record. The vendor states that agents enforce role-based permissions, that inputs are not kept externally or used for model training, and that activity is logged centrally. Access runs through Slack, Teams, browser extensions and MCP endpoints for ChatGPT, Claude or Cursor.

The positioning is the finding: Guru sells a platform engagement, not seats. Its pricing page publishes no per-user tiers and calls Guru a platform and expertise solution rather than a per-seat tool, so expect a sales cycle, an implementation talk and a quote you cannot compare with per-seat rivals. That suits an organisation where someone owns enablement and a wrong answer has a price, and suits a small team badly. Pilot on the folders your people actually use, because quality is bounded by connector coverage and permissions, and a citation proves retrieval, not correctness: a stale source still arrives as a confident reply with a tidy reference. If nobody owns the content, you have bought a faster way to distribute outdated guidance.