AI is fast, confident, and inconsistent. None of that is finished work.
Cortal is the part that makes it finished: every action checked against your real systems, risky ones held for you, and a receipt for every single one.
How it works
Ask a model the same thing twice and you get two different answers.
Both answers sound right. Nothing tells you which parts are real, so a person reads everything, and the hour the tool saved comes straight back as checking.
And it starts from zero every time: nothing your team learned last quarter is in the answer.
It isn’t wrong often. It’s wrong unpredictably.
Cortal checks every action before it happens, and keeps the proof.
A model proposing an action is still a guess. Cortal turns it into a decision: it pulls the facts from the systems that actually hold them, tests the action against your written rules and limits, and only then answers, one of three ways, every time.
At a thousand agents, nobody can check by hand.
This is a Tuesday with a fleet at work. Most actions clear on their own and leave a receipt. The ones that should not run, don’t. The handful that need a person wait in one place, with the reason spelled out.
One queue. Three answers. Plain English.
This is the whole interface for a person. Everything that needs you is in one list, every item says why in a sentence, and approving takes one click. Pick a case, read the checks and the facts it pulled, then approve one. The verdict flips, a receipt is written, and Cortal notes what it learned from your call.
Every case you finish teaches the next one.
Your team already knows things no document holds: which customers get called first, when a rule has an exception, what “urgent” actually means here. Today that knowledge lives in a few people’s heads and dies in a chat window.
Cortal keeps it. Every case you approve, edit or reject is stored as a decision with its reasons, and the next case like it is measured against what you did. So you get asked less over time, about smaller things. And when you are asked, it is about something that genuinely needed a person.
Your past work is the standard. Not a prompt.
It works with the systems you already run on.
Cortal does not replace your stack and does not need a migration. It reads what it needs at the moment of the decision, and writes only where you have allowed a write.
Reads stay read-only until you allow a write. Every write leaves a receipt, including the ones you approved by hand.
The hard part was never the model. It was everything around it.
Hand over the work. Keep the proof.
Fifteen minutes, one real workflow of yours, and it is watching by the end of the week.