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Underwriting

As explained in Financial AI in Practice

Credit underwriting evaluates a prospective borrower's creditworthiness to determine whether and on what terms to extend credit.

At a BNPL checkout or during a corporate loan negotiation, underwriting determines who receives credit, on what terms, and why. It is the pre-loan decision stage of the loan life cycle. section 4.2.1

The checks depend on the borrower:

  • Personal credit starts with Know Your Customer (KYC) identity checks. Risk evaluation typically uses credit bureau data and transaction history; thin-file borrowers may require alternative data. section 4.2.1
  • Corporate credit adds Know Your Business (KYB) checks of incorporation, beneficial owners, and directors. Risk evaluation considers balance sheets, liquidity, collateral, and possible director guarantees. section 4.2.1

AI can accelerate document checks, flag anomalies, and support models that predict default probability. These tools support distinct identification and credit-evaluation tasks rather than replacing the decision process. 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

Places underwriting in the pre-loan phase alongside the later in-loan and post-loan phases. section 4.2.1

How Financial AI in Practice covers it

How deep it goes
Outlines compliance checks and credit-evaluation inputs for personal and corporate borrowers; stops short of an approval algorithm.
Examples
Contrasts an instant BNPL checkout with a multi-week corporate loan negotiation.
What you can do after
Evaluate/understand it by distinguishing identity checks from risk inputs in personal and corporate credit decisions.
How it connects
Connects Know Your Customer, Know Your Business, credit evaluation, and default probability within the loan life cycle.

Related concepts

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.