Healthcare organizations have become skilled at running software pilots, but a recent MedCity News piece argues that pilots are not enough when the software is an AI agent meant to perform a job from start to finish. The missing piece is a probation period: a structured period during which the AI worker is observed and evaluated in a real operational context before being given full responsibility.
The article points out that while there is a well-understood playbook for testing software, no equivalent shared playbook yet exists for onboarding AI agents into clinical or administrative roles. A probation period would fill that gap, giving leaders a way to assess not just whether the model works, but whether it fits the workflow, handles edge cases, and can be trusted with end-to-end tasks.
This distinction matters for medicine and biotech, where the cost of an AI failure can be direct patient harm. The article suggests that healthcare leaders should treat AI agents more like new employees than like software updates, and that probation is the natural next step after a successful pilot.