Shadow mode
AAG reads the traces your agents already emit. Nothing it decides affects a live action.
The value of AI is in consequential work: the actions that move money, change records or affect customers. That is exactly where AAG begins.
A payment can be valid on the rail and still be ineligible under the business’s records and rules. The processor will accept it either way.
So most retailers put a person behind every refund, and the agent saves almost nothing. With AAG, the ineligible refunds stop, and the legitimate ones go through without a person in the way.
It is built for commerce businesses where refunds, credits and agents span several systems: a store, a helpdesk, a payment processor, a loyalty program.
Before a single refund is right, a business has to know:
And routine decisions must take milliseconds, while the customer waits.
AAG reads the traces your agents already emit. Nothing it decides affects a live action.
Which cases could be automated safely, the value that creates, and what operational work remains.
Move eligible actions from manual review to autonomous execution, with success criteria agreed up front.
Refunds and credits come first. The same core extends to the other actions businesses hesitate to hand to agents.
The same core already runs two further workflows, defined only by configuration, at a fictional and unclassified agency: releasing datasets to partners, and responding to security alerts. A poisoned data request is refused, Restricted data is released only after two officers approve, and a fleet-wide patch is adjusted to a small canary ring. Refunds and credits remain our launch use case.