Workflow automation AI

Automation runs when nobody is watching. That is the point of it, and it is also the whole governance problem.

Zapier, Make and n8n with AI steps inside them take an input, decide something and change a record somewhere else, on a schedule or a trigger, without a person in the loop. Every common use in this category acts without human review and can create, change or delete records in other systems. We rate each of them at medium consequence and ask for a monthly look.

What separates automations from assistants is that a mistake does not sit in a draft waiting to be caught. It executes, and it executes again on the next run. A wrong mapping, a changed field name upstream or a model that starts reading an input differently will produce confident, repeated, silent errors.

Govern an automation the way you would govern any agent, applied to plumbing. Scope what it can reach to the minimum it needs, under its own credentials. Keep a backup it cannot touch. Know how to stop a run, and test that you can. Verify on a rhythm, independently, that the outcomes match what the automation claims, because it will not tell you when it is wrong.

Start with an inventory. Automations accumulate quietly, and the ones nobody remembers building are the ones nobody is checking.