Your team just grew. New hires take 3 months to get productive because nothing is written down.

The onboarding doc was written eighteen months ago by someone who's since left. Half the links are broken. The processes it describes have changed twice. The new hire reads it, learns the wrong thing, and spends their first week asking questions that interrupt the people they were hired to help.

Everyone agrees onboarding documentation should be better. Nobody has time to make it better. The people who know how things work are the same people who are too busy doing the work to write about how it works. So every new hire gets the same experience: a stale Google Doc, a Slack message saying "just ask if you have questions," and three months of piecing together how things actually work.

Onboarding guides that stay current without anyone maintaining them

Self-writing onboarding docs connect to your Slack and meetings and produce onboarding guides that reflect the current state of your company. Processes change. The guide changes with them. No manual updates. No scheduled wiki sprints. The guide is current because it's assembled from what the team is actually doing and saying.

For engineering hires, engineering docs cover architecture decisions, system overviews, and development workflows. For product hires, product docs cover requirements, roadmap context, and feature history. For client-facing hires, client relationship trackers provide full engagement context.

AI search so new hires stop interrupting everyone

The most expensive part of bad onboarding isn't the new hire's slow ramp. It's the productivity drain on the existing team. Every question the new hire asks pulls someone away from their work. Multiply that across three to five interruptions per day for three months and the cost is staggering.

AI search gives new hires answers without the interruption. "How does our deploy process work?" "What's our policy on expenses?" "Who handles the Acme account?" The AI assistant answers from Slack history, meeting transcripts, documents, and self-writing docs with cited sources. The new hire gets the answer. The team stays focused.

Agents that automate the onboarding workflow

Agents generate tailored onboarding checklists based on role, team, and location. They create the tasks, send the welcome materials, and surface the relevant documentation. The onboarding process runs itself rather than depending on someone remembering each step.

Who this is for

Startups hiring faster than they can document. Engineering teams onboarding into complex codebases. People ops teams responsible for the onboarding experience. Agencies and consultancies onboarding into client accounts. Any team where the onboarding documentation is always behind.

For the full onboarding workflow, see onboarding new team members and the guide to onboarding collaborators.

Get started

Give every new hire the context they need from day one. Try Fabric free. See pricing for teams.

FAQs

Do the onboarding guides stay current automatically?

Yes. Self-writing docs update from your team's Slack and meetings. The guide reflects today's reality, not a snapshot from eighteen months ago.

Can new hires search the team's full knowledge base?

Yes. AI search lets new hires ask questions and get cited answers from the full history of your team's work.

Can agents generate onboarding checklists?

Yes. Agents create role-specific checklists, tasks, and welcome materials automatically.

How does this reduce the interruption cost on existing team members?

New hires get answers from AI search instead of pinging colleagues. The questions that used to pull three to five people out of flow state each day are answered by the system with cited sources.

Can onboarding be customised by role or team?

Yes. Different spaces can hold different documentation. Engineering onboarding, sales onboarding, and general company onboarding can each have their own self-writing guides tailored to the role.

Does the guide reflect what's changed since the last hire?

Yes. Self-writing docs update continuously. A process that changed last week is reflected in the guide before the new hire reads it. No manual update required.

Can the AI answer questions the onboarding guide doesn't cover?

Yes. The AI assistant searches across every connected source, not just the onboarding guide. If the answer exists anywhere in Slack, documents, or meeting transcripts, the new hire can find it.

Is our data secure?

Yes. Fabric uses AES-256 encryption and is CASA Tier 2 compliant. Your data is never used to train AI models.