Use cases

Detect silent business failures

Identify successful requests whose expected business result never appeared.

A successful API response or accepted webhook proves that transport completed. It does not prove that the intended business result happened, such as creating a record, updating an entitlement, reconciling a payment, or notifying another system.

This use case connects the triggering integration observation with an expected downstream result. The goal is to surface work that looks technically healthy but is incomplete from the customer or operational perspective.

Before you begin

  • A configured integration
  • A business result that can be observed
  • Safe correlation evidence

Why silent failures matter

Understand why transport success can conceal a missing customer, financial, or operational result.

Transport monitoring stops at status codes, exceptions, and latency. Silent business failures happen after that boundary: the request was accepted, but the domain workflow did not reach the state the organisation depends on.

This deserves its own use case because the evidence and response are different from contract drift. The team must define the expected result, correlate it safely, and wait for a meaningful evaluation window before calling it missing or late.

Transport and business success

Separate a successful response from the downstream result the workflow must produce.

An accepted webhook or successful API response proves that transport completed. It does not prove that the customer record, reconciliation, notification, or other required business result occurred.

Keep both facts in the incident. The successful response explains why conventional monitoring stayed quiet; the missing expected outcome explains why the workflow still requires investigation.

When to use this workflow

Choose outcome monitoring for integrations whose success is defined by a later business event.

Use expected-outcome monitoring when a later domain event or record is the real definition of success and can be correlated with the triggering observation without transmitting sensitive customer data.

  • A payment request succeeds but the ledger or entitlement does not update.
  • A provider accepts work but the completion callback never arrives.
  • A webhook is acknowledged but the application record remains unchanged.
  • A scheduled reconciliation finds a record without its required downstream result.

Define the expected outcome

Describe the result, correlation evidence, and evaluation window.

Write the outcome in the language used by the team that owns the workflow. A precise rule should identify what must happen, which observation should lead to it, and how long the result may reasonably take.

  • Name the business result in domain language.
  • Choose the observation that should produce the result.
  • Set the evaluation window in which the result should appear.
  • Use redacted or hashed correlation evidence instead of raw customer data.

Investigate a missing outcome

Review the request evidence and the absent or late result together.

Review the triggering observation and expected-outcome evaluation in the same incident. Confirm that the correlation evidence belongs to the same workflow before deciding that the result is missing or late.

  1. Confirm that the triggering operation completed and belongs to the expected integration.
  2. Check the correlation identifier and evaluation window.
  3. Look for a late, duplicate, or differently correlated result before declaring it absent.
  4. Record the affected record and remediation decision using only supported evidence.

Operating boundaries

Keep correlation privacy-safe and avoid claiming impact that the available evidence cannot prove.

  • Outcome rules evaluate observable facts; they do not infer an unrecorded business result.
  • Hashed correlation supports matching without exposing the original identifier.
  • Unknown or incomplete correlation remains unknown rather than being counted as confirmed impact.
  • Seamward does not retry the business operation or modify the system of record automatically.