post-loan-management

To perform post-loan risk checks, you need to run a gate-based workflow that validates loan purpose, evaluates financial health, classifies early warning signals, and handles mandatory P1–P6 veto conditions. This structured process produces an audit trail JSON and a risk classification report for human approval.

Early warning signal classification in post-loan management identifies yellow, orange, and red risk indicators based on fund flow and collateral data. It checks these signals against P1–P6 veto conditions to generate structured risk disposition guidance for loan officers.

Verifying funds usage requires checking loan purpose consistency against actual fund destinations to detect suspicious flowbacks. This compliance check uses policy rules within a gate-based workflow to flag abnormal transactions and outputs the results in an audit-ready report.

Yes, you can use this skill to prepare five-category risk classification adjustments. It evaluates collateral effectiveness and financial ratios against industry benchmarks, checks P1–P6 veto conditions, and generates classification guidance specifically structured for human approval.

Generating an audit-ready post-loan management report requires customer profiles, financial statements, and fund-flow data for the requested check date and scope. The skill validates these inputs first in a read-before-write gate before producing structured report sections and an audit trail JSON.

Yes, post-loan collateral validation assesses collateral strength by validating current collateral values and checking external risk impacts. This assessment is combined with financial health evaluations to produce a comprehensive risk disposition output within the audit trail.