Validate rollback compatibility before switching: What should | AIGP
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Validate rollback compatibility before switching: What should the team do before rollback?

AIGP Understanding How to Govern AI Development Hard

Rollback is appropriate only after checking compatibility with current data; otherwise, it can replace one failure with another.

The question

A financial-document processor was updated to emit a new field format. Error rates rose, and the prior model version remains available, but its input schema may not accept current documents. What should the team do before rollback?

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  1. Validate rollback compatibility before switching production traffic. ✓
    Compatibility testing addresses the changed data interface and determines whether rollback reduces risk without introducing another operational failure.
  2. Restore the prior version immediately.
    Immediate rollback could fail or create new errors because compatibility with the current document schema remains unverified.
  3. Keep the new version and compare only monthly error totals.
    Monthly aggregates delay response and do not resolve the immediate compatibility question created by the changed input and output formats.
  4. Convert current documents back to the old format without testing.
    Unverified conversion may lose fields or distort information, creating undocumented data risks while bypassing compatibility evidence.
The trap
An older version is not automatically a safe fallback; verify its compatibility with today’s inputs first.

How to remember it

Rollback is appropriate only after checking compatibility with current data; otherwise, it can replace one failure with another.

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