Exception Remediation App v2

Use a focused Flowgear App to let authorized operators inspect an integration exception, submit a bounded correction, and invoke an audited remediation Workflow.

Architecture

Workflow logs or state -> remediation App -> correction Workflow -> provider -> linked verification logs

The App should present only the context required to understand and correct the failure. Keep the correction operation in a Workflow rather than placing provider credentials or business logic in the frontend.

Design the backend

Create a read Workflow that returns a safe exception summary and a mutation Workflow that accepts the exception ID, expected version or state, correction fields, and an idempotency key. Revalidate the current provider state before applying the correction.

Return deterministic outcomes such as corrected, already resolved, conflict, not found, or rejected. Do not let the App replay arbitrary YAML, queries, or provider commands.

Secure the App

Use embedded Cookie authorization for signed-in Console users or a scoped token for a justified standalone deployment. Assign only the read and correction Workflows, restrict permitted users, configure allowed origins, and keep credentials in Environment-specific Connections.

Preserve evidence

Link the original exception, operator, correction input summary, backend result, and retry verification through logs and audit records. Redact sensitive payload fields.

Example: correct an order's customer reference

Suppose an order failed because its customer reference did not match the ERP. The read Workflow could return {"exceptionId":"EX-42","orderId":"A100","state":"Open","version":3,"reason":"Customer reference not found"}. The App shows those fields and lets an authorized operator select a valid customer.

Define the correction request as {"exceptionId":"EX-42","expectedVersion":3,"customerId":"C200","idempotencyKey":"EX-42-v3"}. The correction Workflow checks that the exception is still open at the expected version, validates the customer, and retries only the affected business operation.

On success, return an authored result such as {"outcome":"corrected","exceptionId":"EX-42","orderId":"A100"} and link the verification logs in the App. A repeated request should produce already_resolved when your backend confirms the correction; an intervening edit should produce conflict. These outcomes require backend logic and an appropriate provider or storage concurrency guarantee. The field names alone do not provide idempotency.

Test the successful correction, a stale version, an invalid customer, and a repeated submission. Confirm that each result is understandable to the operator and that the successful write is not duplicated.