Onboarding is slow because the people who teach are busy.

The manual exists, but nothing moves without asking

You write the handover document, and the new hire still comes over to ask. A manual can hold the steps, but not why things are done that way or how the last case was decided. The person teaching stops their own work to answer. Slow onboarding is rarely about the new hire's ability. It is about history that exists only in someone's head.

The history stays in the thread

In INARY, work runs in a thread per project. What the problem was, who decided what, and how it ended all stay there. A new hire reads the thread and follows not just the steps but the reasoning. There is no separate handover document to write.

The AI answers "how did we handle this before?"

When a new hire asks in the thread how a case should be handled, INARY's AI answers with that thread's history as its premise: how it was decided before, and why. The new hire keeps moving without waiting, and the senior keeps working.

The answer appears in the same thread, so the senior sees it too and corrects it on the spot if needed. Nobody proceeds on a wrong answer they got alone.

What changes

Less time spent teaching, and a wider range of things a new hire can catch up on alone. When a person changes roles, the history is already in the thread, so the handover is light. Knowledge sharing stops being a documentation project and becomes a side effect of ordinary work.