Inconsistent data formatting means the AI model is receiving inputs that do not match what it was trained to understand. The best corrective action is to document and enforce technical specifications for incoming data (option A).

AAIA highlights this as a fundamental data governance requirement:

Field formats

Data types

Encoding rules

Required attributes

Normalization methods

Without strict specifications, the model cannot reliably parse or classify inputs.

Option B does not address the root cause.

Option C improves human response but not data consistency.

Increasing model complexity (D) adds risk and does not fix inconsistent formatting.