AI actions with human approval
Three proposals waiting for you.
This is how the agent delivers work: ready, detailed and stopped. Decide each one below and watch the trail build up alongside.
There are three possible stances. Two do not work.
The agent executes on its own
Fast and impossible to defend. When something goes wrong, there is nobody in the middle to explain the decision, and the company finds out afterwards.
The agent builds and stops
It does the whole job, including gathering the context and checking the policy. What it does not do is press the button. That still belongs to whoever has authority.
The agent only answers
Safe and useless. Someone reads the answer and redoes everything by hand, which brings back the human error automation was there to avoid.
Human approval is not any human.
Who can approve what is configured by role. Being in the conversation gives nobody authority. It is the same rule that decides what each area sees, applied at the moment of acting. And a rejection is recorded just the same: knowing that someone looked and said no is worth as much as knowing they said yes.
Where it acts today: opening tickets and tasks, delivered and running in production. Just one. We would rather name one that works than list five that are on the roadmap.
Want to see the agent asking permission on your data?
Context Diagnostic: a conversation about a real proposal from your workflow and, if it makes sense, a day with your team.
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