Within a year every function in your business will be running agents that read, decide and act. The question stops being whether you have AI and becomes whether you can govern it: stop it on demand, show what it touched, and keep operating once it is off. This page is the whole argument, and the demo is live. Pull the switch yourself.
This is the question a model-risk examiner actually asks, and most platforms answer it with a policy document. Pull the switch below. The AI rail goes dark, the deterministic floor keeps working, and the AI's trace goes to zero, because the calls never reached the gateway. Shown here as an illustration of the behaviour.
In the product the switch has three levels, covering the whole platform, one module, or a single feature, and it fails closed: if the switch cannot be read, the answer is no. See how the kill-switch works →
The floor checks coverage, orphaned citations, broken lineage and stale evidence with no model, no prompt and no inference. The same inputs give the same findings every run. There is nothing to hallucinate and nothing to explain to a regulator.
It runs on its own schedule with the AI switched off, and it has no off switch. That is the sentence most platforms cannot say.
How a proposal becomes a write: the gateway every call passes through, the review surface, and the provenance rule that forbids a fabricated value.
Three levels, what each one stops, why it fails closed when it cannot read its own state, and what zero-trace means when you go looking for evidence.
What it checks, why the same inputs always give the same findings, and why it deliberately has no off switch of its own.
A small cohort of regulated banks, NBFCs and the firms that own them. Early access, real influence, pricing that holds.
We are pre-launch and we will not dress it up. There are no logos on this page because there are none to show. Come and try to break the chain.