AI Will Not Fix a Broken Workflow

Begin with the work, not the tool

AI can support a well-defined workflow. It can also make an unclear process move faster without making it better. Before choosing a tool, understand the problem, the users, and the decisions the technology will influence.

If ownership is ambiguous or inputs are unreliable, automation does not remove the need to resolve those issues. It can make their effects harder to see.

Establish readiness

Map the current workflow with the people who use it. Identify where judgment is required, what information is sensitive, and how mistakes are detected and corrected. In clinical settings, qualified oversight and patient safety must remain central.

Define what the tool may do, what it may recommend, and what remains a human decision. These boundaries should be clear before a pilot begins.

Design adoption with the team

A pilot should test the working arrangement, not only the technology. Give people time to learn, a route to report problems, and permission to question an output.

• Choose a bounded use case with a clear owner.
• Define appropriate review and escalation steps.
• Assess data access, quality, and privacy requirements.
• Compare outcomes and workload with the existing process.

Scale what actually works

Expansion should follow evidence that the new approach supports the intended outcome. Review whether it improves the work, shifts effort elsewhere, or introduces new risks. Responsible adoption is an organizational decision, not simply a technology launch.