IRAH
IRAH Insight

AI for counterfeit detection

AI should prioritise suspicious activity for human review rather than make unsupported enforcement decisions.

Signals

Use duplicate codes, impossible travel, abnormal volume, image mismatch and actor history.

Evidence

Preserve the source data, model output and review trail.

Human review

Route high-risk cases to authorised teams with context and clear actions.

Feedback

Use confirmed outcomes to improve rules and models over time.

Next step

Define one measurable use case, establish the baseline and test the operating model before scaling.