Clearance at the point of action.
The actor doesn't hold the switch. Enforcement lives outside the actor, so an agent's decision is cleared at the moment it is taken rather than reported afterward.
Bivalent — gate the action
Bivalent — gate the action.
A commentator notices the foul. A referee stops play. Observation tools act as the commentator by reporting what went wrong afterward, while decision gating acts as the referee. Bivalent is built to be the referee.
Book a private briefing20 minutes. Free.
Demo
§ 01 — The problem it exists for
The problem it exists for
Autonomous agents act — they buy, send, approve, delete — at machine speed. Tools that observe, log, or report can tell you what went wrong afterward. Stopping an action at the moment it is taken is a different function, and that moment is where Bivalent is designed to sit.
§ 02 — What it is designed to do
What it is designed to do
A decision you can reconstruct.
It is designed so that a decision leaves a record of who authorized an action and on what basis — reconstructable later by someone who wasn't in the room.
§ 03 — What you get from it
What you get from it
Patent pending. Bivalent gives you a clearance at the point of action, and a record of who authorized what and on what basis — one that someone who was not in the room can reconstruct afterwards. Pieces of it already run inside our own systems, because we govern our AI the way we ask you to govern yours. Our claims standard applies to ourselves too: no effectiveness numbers until our pre-registered evidence protocol delivers them, and we will publish what it shows either way.
§ — A private briefing
If your agents already act on their own, this is worth twenty minutes.
20 minutes. No deck. What it does, why it matters for agents that already act, and where the evidence will come from.