Automate onboarding: from the first day to the end of the probation period

A new colleague starts on Monday. The workspace is not ready, access to the wiki arrives only on Wednesday, and signed documents are still missing two weeks later. The checklist is just a copy of a template; there is no automated onboarding workflow.

In the months that follow, visibility is often lacking. Nobody is quite sure whether the three-month feedback meeting took place. Every new starter triggers the same coordination by email and informal requests.

The root cause is usually the setup: onboarding is spread across HR, IT, Office and the manager, and no one owns the checklist.

With swoox.io, onboarding starts with an HR form containing the employee’s name, role, team and start date. This creates an onboarding record that keeps everyone informed of the current status. Before day one, tasks run in parallel: Office confirms the workspace and access equipment, a checklist is created in the wiki, and a welcome message is prepared for the team chat. A person confirms each step owned by a department.

Onboarding continues after the first day. Rules linked to the record trigger reminders for missing documents and probation-period feedback meetings. If a milestone changes, the new rule immediately applies to all ongoing probation periods.

Technically, the workflow is a BPMN 2.0 process with parallel paths and defined confirmation points. Systems such as the wiki, chat or email are connected via REST. Optionally, an agent creates a personal task list based on role and team. If the result does not match the expected format, the team template is used instead. The AI model is your choice.

This keeps every agent decision traceable: what was done, when, on what basis and who approved it. In its analysis of agent governance, Fraunhofer FIT also describes a deterministic process framework as a robust way to introduce AI agents into business processes under control (Gimpel et al., 2026).