ai-risk-planning

To generate a credit risk analysis plan, input loan application data and optional supporting documents. The system applies a fixed 8 risk screening dimension framework to produce an audit-ready, non-duplicative task plan covering required industry and case-specific verifications.

Regulatory compliance is enforced by converting mandatory product and industry rules into independent analysis and data collection tasks. This prevents missing required fields and ensures the structured JSON output aligns with regulatory constraints without merging or omitting checks.

Yes, you can use structured JSON loan application inputs to automate credit risk planning. The process validates required fields first and outputs a JSON-compatible task list that downstream skills can parse to execute due diligence and approval decisions.

To avoid data duplication in a credit risk review checklist, use a top-down risk planning approach that dynamically expands per-loan depth. It structures required industry rules into independent tasks, ensuring all necessary data collection points are covered non-redundantly.

When loan application data is incomplete, this risk planning approach blocks missing required fields and prevents guessing. It generates a structured task list that explicitly identifies what data needs to be collected and verified before proceeding with due diligence.