Your riskiest rule change is one deploy away from a regulator's question
A credit limit. A fraud threshold. A fee. Each one reaches production through a path nobody can reconstruct six months later. Ship them a fraction of customers at a time, and keep the evidence of every decision.
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The change was approved in a thread and shipped on a Friday
Nothing about that is unusual, and that is the problem. The controls that govern money moving are the ones your release process treats as ordinary code.
The approval lives in a message
Someone approved the new fraud threshold in chat. Someone else read it and shipped. Neither of them left anything an auditor can open a year later.
Reverting means another release
When a limit change starts rejecting good customers, undoing it takes a deploy. That is minutes of declined transactions you do not get back, during business hours, with support already filling up.
Nobody can say who was affected
Risk asks which customers saw the new rule. The honest answer is a query somebody still has to write, against data that was never shaped to answer it.
What your next rule change looks like instead
The same change, shipped through a path that assumes it might be wrong.
It reaches 1% of customers first
Deterministic targeting decides who is exposed, so the same customer stays on the same side of the change for its whole life. No random reassignment between requests.
A breach reverts it without waking anyone
You declare the metric that must not move, such as false-positive rate or decline rate, and the threshold that counts as a breach. Crossing it pauses and rolls back the change on its own.
The evidence exists before anyone asks
Every configuration version, the actor behind it, and every automated action are recorded as they happen. Reproducing a decision is reading a record, not reconstructing a story.
How it works
Put the rule behind a flag
The SDK evaluates locally against published configuration, so the decision costs no network call in your payment path.
Attach the guardrail
Point it at a metric you already collect. Set the threshold and what happens when it is crossed: pause, or roll all the way back.
Let the rollout advance itself
Each stage promotes only when the guardrail stays clean for the window you set. Nothing advances because somebody forgot to check.
Ship your next rule change with the evidence attached
Fifteen minutes from signup to a flag evaluating in your own code, with a guardrail watching it.
Start on GrowthCreating an account with Google shares your name, email address and profile picture with us, so we can identify you and contact you about your account. Our stated retention period is the life of the account plus 30 days after you close it.
Guardrail auto-rollback and unlimited experiments included. No sales call to get started.