AI-generated documentation
Generate runbooks, onboarding guides, internal process docs, release notes, and technical summaries from the knowledge already inside your tools.
Navqen connects to the tools your team already uses and turns conversations, tickets, pull requests, and docs into searchable, continuously updated company knowledge.
Latest approved production process from merged pull request activity.
Team decision captured from the engineering release channel.
Navqen created a clean runbook and linked every claim to source context.
Knowledge ownership assigned automatically based on source activity.
Navqen brings together the context hidden across your daily workflow, then turns it into trustworthy documentation your team can actually use.
Navqen captures knowledge while work happens, so your documentation stays closer to reality and your team spends less time repeating the same answers.
Navqen converts real work activity into docs, answers, ownership, and update signals. It is built for engineering, support, and operations teams that move fast.
Generate runbooks, onboarding guides, internal process docs, release notes, and technical summaries from the knowledge already inside your tools.
Ask natural-language questions and get answers grounded in Slack threads, GitHub activity, Jira tickets, Notion docs, and Confluence pages.
Detect when a workflow, process, or decision changes and identify which docs may need to be reviewed before they become outdated.
Track where knowledge came from, who is closest to it, and which team should own the final source of truth.
Instead of dumping raw AI summaries into your workspace, Navqen structures knowledge into practical assets your team can use immediately.
Step-by-step operational guides for recurring processes, incidents, releases, and internal workflows.
New team members can understand systems, processes, and decision history without asking the same questions.
Important decisions are captured with the context, owner, source, and the reason behind the choice.
Navqen follows a simple pipeline: connect your sources, extract the useful knowledge, then publish living docs your team can search and trust.
Link Slack, GitHub, Jira, Notion, Confluence, Linear, and other systems where your team already works.
Navqen identifies decisions, definitions, procedures, owners, dependencies, and recurring workflows.
Clean documentation is created, organized, linked to its original sources, and kept fresh over time.
Every generated answer can point back to the context it came from, helping teams trust the output and verify important operational knowledge.
Yes. Teams can ask questions in plain language and receive answers based on connected company knowledge.
It can complement existing knowledge bases or become the layer that keeps them continuously updated.
Navqen flags possible documentation drift and helps teams review the outdated sections.
Choose a plan based on your team's size, integrations, and security needs.
For small teams testing AI knowledge workflows.
For growing teams that need reliable internal knowledge.
For companies with advanced security and governance needs.
Navqen is designed around privacy, access control, and data ownership, so teams can use AI without losing control of sensitive internal knowledge.
Company context can be sensitive. Navqen keeps security central by protecting data in transit, respecting permissions, and making ownership clear across every generated knowledge asset.
Data is protected in transit and at rest using modern encryption practices.
Role-based permissions and workspace isolation help teams keep knowledge visible only to the right people.
Your organization maintains ownership and control of the knowledge, sources, and generated documents.
Your internal data is not positioned as training material for public AI models.
Give your team a living knowledge layer that stays close to how work actually happens.
Use your work email or continue with a provider.
Send a request to get access to Navqen.