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Debt restructuring

As explained in Financial AI in Practice

The modification of a borrower's debt terms to address repayment difficulty or improve repayment prospects.

Debt restructuring changes loan terms when a borrower cannot meet obligations or needs a short-term break to recover. Lenders may use it to improve repayment prospects and avoid a larger loss. section 4.2.1

Possible adjustments include:

AI-based forecasting can help lenders estimate which restructuring approach is likeliest to succeed for a borrower. Risk-based adjustments should be fair and consistent, with decisions documented. section 4.2.1 section 4.2.1

Figure 4.1 The three key phases of the loan life cycle, pre-loan, in-loan, and post-loan, apply to both personal and corporate credit products. Each phase contains distinct activities, decision points, and opportunities for AI-enhanced risk management.
figure

Shows restructuring within the post-loan phase of the loan life cycle. section 4.2.1

How Financial AI in Practice covers it

How deep it goes
Defines the goal and names rate changes, maturity extensions, and partial write-offs, but does not detail implementation.
Examples
Names interest-rate reductions, maturity extensions, and partial debt write-offs as possible adjustments.
What you can do after
Evaluate workout options using forecasts of which restructuring approach is likeliest to succeed for a borrower.
How it connects
Connects restructuring to collections, delinquency, and the post-loan phase of credit management.

This explainer was generated by Manning's knowledge graph from the text of Financial AI in Practice. The section links point to the parts of the book it draws on.