Step 4 of 12People
04 · Affected people

Meet the people affected

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Read each claimant's situation before you see the fraud score.

A
FICTIONAL CASE

Claimant A

Retired customer, storm damage

Claimed for roof damage three days after increasing her buildings cover.

Context

Policyholder for 22 years

Increased cover after a storm warning

Storm widely reported in the area

Signals the AI may react to

Recent policy change

Large claim

Governance reviewer prompt

The strongest signal had an innocent explanation everyone could see. Who should catch that?

BEFORE YOU SEE THE AI OUTPUT

What would a fair and safe outcome look like for each person?

Note the context the system cannot see, and who would struggle to challenge a wrong outcome.