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How Compliance Works: Decision Points and Control Points
Where the process stops — and why that protects reputation
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The third article in Flipka’s compliance series is about gateways: control points where material can be sent back. Fact-checking, ethical review, and risk-based routing.

Compliance works only where there are stopping points. If material moves from author to publication without decision points, that is not a process — it is a conveyor belt.

Here are the key gateways in our model:

Brief. Check whether there is a specific customer problem. If not, return it to the initiator. This is the first safeguard against producing content simply because “we need to publish something”.

Fact-checking. Check whether all material claims are supported. If not, return it with a specific code:

  • FACT_UNVERIFIED
  • OUTDATED_SOURCE
  • MISSING_SOURCE
  • CONTRADICTORY_SOURCES
  • AUTHOR_INTERPRETATION_PRESENTED_AS_FACT

Ethical review. This is not “I feel the article is ethical”; it is a checklist:

  • Transparency: Is the author clear? Are commercial interests disclosed? Is advertising separated from editorial content?
  • Manipulation: Is there false urgency, artificial scarcity, pressure through fear, shame, or guilt?
  • Informed choice: Are limitations stated and alternatives presented?
  • Customer interests: Does the recommendation actually serve the customer’s task?

💡 Insight: If ethical review depends on the mood of one person, it is not control — it is a lottery. A checklist makes ethics reproducible.

Risk-based routing: ethics should not kill speed

Low risk — ordinary informational material → automated checks → editor.

  • Medium risk — contains a commercial recommendation → Ethics Review.
  • High risk — sensitive claims or possible financial consequences → Ethics + Legal + Product Owner.

This keeps the model economically viable. Not every text should pass through the same heavy process.

Continue the series:

How Compliance Works: Ethics as a Process, Not a Slogan

How Compliance Works: Roles and Responsibilities

How Compliance Works: KPIs and Metrics

How Compliance Works: Automation and the Data Model