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DI-5: Schema Drift Detection

Summary​

DI-5 focuses on Make.com scenarios and n8n workflows that may break quietly when upstream data structures or field expectations change. FlowBeacon uses this policy to help teams spot brittle mappings before they create silent data quality problems.

Severity: Medium · Category: Data Integrity · Platforms: Make.com, n8n

What FlowBeacon Reviews​

  • Whether important mappings appear brittle, incomplete, or sensitive to upstream structure changes.
  • Whether placeholder values, empty mappings, or out-of-date references may exist in key paths.
  • Whether changes in connected systems could create silent downstream issues.

Why This Matters​

  • Schema changes often create bad outcomes before anyone notices.
  • Brittle mappings increase maintenance work and reduce trust in automation.
  • Early visibility helps teams adapt without broad downstream impact.

If This Policy Is Flagged​

  1. Review the inputs and outputs that are most important to the automation.
  2. Add checks or fallback handling for fields that may change over time.
  3. Establish a review habit for upstream application and API changes.
  4. Re-run the evaluation after the automation is less dependent on fragile mappings.

Why Users Care​

  • Users catch data-shape problems before they become larger operational issues.
  • Teams reduce silent failures that are expensive to trace later.
  • Workflow owners gain a clearer view of where upstream change can hurt them.