Why Averment exists

AI no longer just answers questions. It takes action. It can move money, change records, run workflows, and operate real systems on its own.

That shift is useful. It is also risky.

For a long time, software did exactly what it was told. Now AI makes choices on its own. Most of the time those choices are fine. Sometimes they are not.

A single wrong action can spend money, erase important data, or break something in production. The hard part was never getting AI to act. The hard part is knowing when it should.

Averment sits in the moment between a decision and the action that follows it.

Before anything runs, it evaluates what is about to happen and determines the next step: proceed, adapt, escalate for review, request confirmation or stop it.

Every team is different. What's risky for one is routine for another.

So the rules are yours to set. Averment applies them the same way every time, across every system you connect.

Teams shouldn't have to choose between moving fast and staying safe.

You should be able to automate more of your work and still stay in control of what actually happens.

We believe the next challenge in AI is not generating better answers. It's deciding what happens when AI takes action.

Averment started from a simple question: who decides when an AI system should act? We've spent the last 18 months exploring that question and building toward an answer.