What this scenario demonstrates
Read this one first. The other scenarios vary it.
- Receipt and owner metadata issued at decision time.
- Visible clocks for review, appeal, and remedy.
- A remedy path tied to bindings and evidence packs.
Six worked scenarios that follow one automated decision from enforcement to remedy, and eight comparisons of oversight added on versus built in.
Featured scenario
The account lock is the baseline scenario. It runs every step from receipt to remedy, and no step relies on a special case.
Read this one first. The other scenarios vary it.
Each scenario shows the receipt, the owner, the clocks, and the evidence an auditor would ask for.
A real-time fraud lock that still issues a receipt, names an owner, runs three clocks, and restores access when no fraud is confirmed.
A rapid removal that issues a receipt, bounds its exceptions, and restores the content if the takedown is overturned.
A hold whose notice is delayed for the investigation, while its review clocks keep running and stay on record.
A payment that cannot be reversed, so the receipt commits to compensation and review deadlines instead.
A refund agent gated by a typed decision model, with the threshold held as policy, a sampled review queue, and decisions that record what decided them.
An eligibility denial on an income mismatch, with a named owner, an appeal path, and remedy clocks the owner is held to.
Domain comparisons
Eight comparisons. Each sets oversight added after the fact beside a system where a challenge reaches the owner of the rule.
Benefits and debt automation where an upheld challenge has to reach the rule's owner.
Credit scoring where an applicant gets reasons, and a pattern of upheld challenges changes the rule.
Real-time account protection that must restore legitimate access on a deadline and on the record.
Clinical risk tools where clinicians' overrides are counted against the model's rule.
Denials, appeals, and repair status as FHIR resources that payers, providers, and regulators share.
Support bots where reaching a person is a right, and failed requests count against the design.
A boundary case. Most recommendations decide nothing a person could challenge. Prices, credit offers, and job ads do.
A boundary case. The person who grants the agent its authority is usually the one its mistakes land on, and no institution answers for the delegation.
Each example names the context it belongs to, the standards to bind, and the check to run first. Retail personalization and an agent acting for one person are boundary cases. Which systems this is for
Required signals
A scenario missing any of these describes a decision. It does not show one that can be enforced or challenged.
Each scenario can be copied into a change request or a release gate.