Three questions: can the robot handle it, see it, and confirm it worked?
A process is automation-friendly when a robot can easily handle the objects, see what it's doing, and verify each step worked. The easier it is to manipulate, observe, and confirm, the easier it is to automate.
Automation-friendly processes usually involve rigid objects, clear positions, simple transfers, and direct success checks. Plates, racks, tubes, and pipette tips are far easier than tissue, animals, deformable materials, or steps that hinge on subtle judgement.
Break the workflow into physical steps and ask three things of each: Can the robot hold the object? Can it see the target? Can it confirm success immediately? Mostly yeses means a strong automation candidate.
A useful shortcut: could a person do the step with one hand, thick gloves, and little need for touch? If yes, it's probably easy for a robot too.
Loading a plate into a clearly marked slot is automation-friendly — rigid object, visible target, easy to verify seating. Placing flexible tissue, or a sample that changes shape under force, is harder: the robot may still manage it, but it needs more sensing, control, and validation.
Score candidate workflows on hold / see / confirm before committing. The steps that pass all three are where automation pays back fastest and most reliably.
