Use cases

Start with the work agents aren’t trusted with yet.

The value of AI is in consequential work: the actions that move money, change records or affect customers. That is exactly where AAG begins.

Launch use case

Customer refunds and credits

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.

Behind one “yes, we’ll refund that”

Before a single refund is right, a business has to know:

  • Who is asking, and which agent is acting on whose authority
  • Every refund, credit, coupon and loyalty adjustment the customer has already received, across systems that never talk to each other
  • The order, the policy that actually governs it, and exactly what is owed, down to split payments and tax
  • Whether a colleague, another agent or a pending chargeback is already resolving the same case
  • Limits, freezes and the right approver for anything unusual
  • Executing once, confirming the outcome, and the follow-up that should happen next

And routine decisions must take milliseconds, while the customer waits.

How a pilot begins

See the value before AAG touches production.

Observe

Shadow mode

AAG reads the traces your agents already emit. Nothing it decides affects a live action.

Measure

An automation opportunity report

Which cases could be automated safely, the value that creates, and what operational work remains.

Enforce

Production, step by step

Move eligible actions from manual review to autonomous execution, with success criteria agreed up front.

Where it goes next

One control layer, many consequential workflows.

Refunds and credits come first. The same core extends to the other actions businesses hesitate to hand to agents.

  • Refunds & credits
  • Account changes
  • Bookings
  • Payouts
  • Access changes
  • Production changes
Also in development

Beyond commerce: public-sector workflows

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.

Bring us your hardest refund cases.