Everything you need to protect organizational knowledge

20+ Integrations

Slack, Notion, GitHub, Confluence, Jira, Google Drive, Freshdesk, SharePoint, and more. One-click setup connects each tool in seconds.

Cited Answers

Every response includes direct links to the source documents. No hallucinations — every claim is traceable to a specific Slack message, Notion page, or GitHub PR.

Parent-Child Chunking

Documents are intelligently split into hierarchical chunks that preserve context. The retrieval engine finds the specific paragraph while understanding the full document structure.

Confidence-Gated Answers

Three answer tiers — Full RAG (high confidence with citations), Weak RAG (partial match with caveats), and Pure AI (general knowledge disclaimer). You always know how trustworthy the answer is.

Multi-Language Support

Full support for English and Arabic queries, including mixed-language search. The system detects query language automatically and optimizes retrieval for each.

Bus Factor Detection

Identify single points of failure in your organization. See which critical topics depend on just one person — and find backup experts before knowledge walks out the door.

Documentation Drift

Detect when documents contradict each other or drift from reality. The system flags conflicting information across Confluence, Notion, and internal wikis so you can resolve inconsistencies.

Knowledge Gap Analysis

Track which questions keep getting asked but never get documented. Surface recurring knowledge gaps and convert them into actionable documentation tasks.

Decision Surfacing

Your organization makes hundreds of decisions buried in Slack threads and meeting notes. ZeroForget AI surfaces them so you never ask "why did we decide that?" again.

Organization Health Score

A single 0-100 score that quantifies your organization's knowledge health. Track improvement over time across documentation coverage, expert redundancy, and staleness metrics.

Expert Verification

When AI cites an answer, users can request expert verification. The identified expert receives a Slack DM or email with the context and can confirm, correct, or add nuance — building a verified knowledge layer.

Expert-Scoped Chat

Start a conversation scoped to a specific expert's knowledge. The AI answers only from documents that expert has contributed to — perfect for preserving departing team members' context.

Knowledge Scores

Each expert receives a knowledge score based on their real contributions across all connected tools — code commits, Slack answers, document edits, and more.

Smart Routing with Anti-Fatigue

Verification requests are routed to the best available expert based on topic relevance and availability. Rate limits prevent notification fatigue — 3 pings/day, 10/week per expert.

AI-Powered Exit Interviews

Structured exit interviews guided by AI that knows what the departing employee worked on. Captures undocumented knowledge, decision context, and institutional memory.

Knowledge Transfer Documents

Auto-generated knowledge transfer documents based on the departing employee's contributions, areas of expertise, and ongoing projects.

Successor Assignment

Recommend the best successor for each knowledge area based on existing contribution overlap and team structure. Ensure no knowledge domain goes unowned.

Post-Departure Validation

Automated check-ins at 30, 60, and 90 days after departure. Surfaces knowledge gaps that only become visible once the expert is gone.