Hosted case study with public verification

Revenue Flow Guard

A hosted technical case study showing how a revenue-critical SaaS journey can be tested before delivery.

The offer

A focused release-confidence sprint for one revenue-critical SaaS journey: map the failure modes, add risk-driven Playwright checks, and leave a maintainable handoff. This describes the offer and deliverables, not a promised business outcome.

The deliverable

A hosted case study, a public verification method, signed sanitized evidence, and a handoff conversation for adapting the approach to your flow. The complete implementation remains private.

01 — Risks

Six controlled risks

The study names the failures the control logic exists to surface, without promising to prevent them.

  1. 01Duplicate processing can count or charge the same flow twice.
  2. 02A missed webhook can drop an update while the system still reports success.
  3. 03Retries without an idempotency boundary can diverge the state.
  4. 04Replayed or unsigned webhook traffic can alter records.
  5. 05Ambiguous money-movement claims without a traceable source.
  6. 06Silent degradation where a failure looks like a successful step.

02 — Proof

Five proof steps

A reviewer can reproduce each step against the control logic in an isolated sandbox.

  1. 01Reproduce the revenue event against the control logic in an isolated sandbox.
  2. 02Run the deterministic idempotency and replay checks.
  3. 03Inspect the audit trail for each step.
  4. 04Force a controlled failure and confirm it surfaces instead of succeeding.
  5. 05Confirm every write remains behind an explicit human decision.

03 — Boundary

Human boundary

A person owns every access grant and any real money movement. The study documents the control logic and its boundary; it does not move funds on its own and it does not claim client results.

04 — Limits

Limitations

What this case study does not claim.

View the hosted case studyHosted: revenue-flow-guard.theharicover.chatgpt.site/case-study.htmlReview the verification methodVerification: github.com/RomainROCH/revenue-flow-guardDiscuss this case study