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Scenario-Based Risk Analysis
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build an AI-Powered Regulatory Compliance Risk Agent
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Linked challenge
Build an AI-Powered Regulatory Compliance Risk Agent
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Provide your agent with the following scenario: 'A fintech company based in London is launching a new investment product in India, requiring them to collect and store KYC (Know Your Customer) data locally. They are considering using a cloud provider with servers exclusively in the US, but want to ensure compliance with both UK data protection laws (e.g., UK GDPR) and Indian data residency requirements.' Instruct the agent to identify potential regulatory conflicts and propose high-level mitigation strategies, using its tools as needed.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.
Tune next
Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.
Verify after
Make sure the prompt catches regressions instead of just mirroring the happy-path examples.