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12 · Practitioner output

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Your report brings every step together. Gaps stay visible as ‘Not answered’ so a decision-maker can see what is complete. Go back to any step to improve it.

SIMULATED INSURANCE CASE STUDY

ClaimReview AI: Insurance Claims Fraud AI Review

Harbourside Mutual Insurance · Outputs: Stakeholder Map, Risk Register, Assurance Checklist

Training simulation only. Not for live claims decisions. All organisations, people and figures are fictional; this is practice evidence, not professional experience.

Governance Decision Record

Recommendation
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Reasoning (150–250 words)
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Evidence the decision relies on
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What remains uncertain
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Conditions, restrictions and stop conditions
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Monitoring after the decision
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Who approves
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Review date
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AI system description

System name
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Business purpose and intended benefit
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AI actors
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AI capability and model type
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Data used: known, assumed and unknown
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Decision supported and human role
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Deployment boundary
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Evidence analysis

Confirmed facts
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Unverified claims
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Your analysis of the figures
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Evidence gaps and documents to request
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Stakeholder and harm map

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AI risk register

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Risk-control matrix

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Assurance checklist

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Oversight and assurance

Where meaningful human review happens
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Override, escalation and record
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How rubber-stamping is prevented
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How affected people can challenge the outcome
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Design effectiveness
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Operating effectiveness: your test result
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Finding and remediation
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Auto-decline proposal: position
Not answered
Auto-decline proposal: response
Not answered
Your practice report is ready.

It is labelled as a simulated case study. Do not present it as work for a real organisation.

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