credit-industry-rule-gen

You generate executable credit risk rules by inputting the target industry name and lifecycle stage to produce a structured JSON ruleset with quantified thresholds, one-veto conditions, and compliance checklists. This translates industry knowledge into standardized, executable review checks.

Structuring credit risk review rules as a JSON ruleset is the best approach for downstream rule engines. This format provides basic check rules and deep analysis rules with quantified thresholds, clear one-veto conditions, and an explicit non-decision disclaimer for validation.

Yes, you can update existing bank credit policy criteria by providing your current rule set along with the industry name. The tool performs an incremental update to supplement existing rules with new fraud pattern mappings and regulatory compliance checks.

You map fraud behaviors by analyzing known industry fraud patterns and converting them into paired basic check rules and deeper analytical rules. This process yields quantified thresholds and clear one-veto conditions for consistent risk review.

Yes, the generated JSON credit risk ruleset includes regulatory compliance and access qualification checks. It compiles industry-specific qualification requirements like licenses and environmental or safety standards directly into the structured rule format.

A one-veto condition is a clear disqualifying threshold within a credit risk rule. To create rules with these conditions, you need the target industry name and can optionally provide a GB/T 4754-2017 classification for precise industry lifecycle analysis.