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Loan lifecycle

As explained in Financial AI in Practice

The sequence of stages through which a loan proceeds from origination to closure.

A BNPL purchase may be approved in seconds, while a corporate loan may take weeks to negotiate. Both follow the same broad loan lifecycle: pre-loan decisions, in-loan monitoring, and post-loan resolution. The stages matter because each calls for different decisions, data, and compliance checks. section 4.2 section 4.2.1 section 4.6

Use the phase to locate the decision being made:

  • Pre-loan — Underwrite the applicant and decide whether to approve credit and on what terms. Identity and compliance checks precede credit evaluation: consumer lending uses Know Your Customer checks, while corporate lending adds Know Your Business checks. section 4.2.1
  • In-loan — Monitor the credit relationship and consider limit adjustments. section 4.2
  • Post-loan — Handle collections, restructuring, or closure. section 4.2

Two applications at the same stage

At origination, a consumer seeking BNPL credit may undergo rapid digital identity verification and evaluation using bureau or transaction history. A corporate applicant instead faces checks on incorporation, beneficial owners, and directors, alongside evaluation of financial statements, liquidity, collateral, or guarantees. The pre-loan goal is shared, but the evidence and controls differ. section 4.2.1

The lifecycle provides a frame for credit-risk analytics rather than a single model to deploy. Time-aware measures such as vintage and survival analysis help examine when defaults occur; separating data governance, modeling, strategy, and application supports adaptation as data sources and regulations change. section 4.6

How Financial AI in Practice covers it

How deep it goes
Defines three phases and details personal and corporate underwriting, while naming monitoring and post-loan activities at a higher level.
Examples
Contrasts instant BNPL underwriting with corporate loan negotiation and their differing identity and credit evidence.
What you can do after
Evaluate/understand it by locating a lending decision within its phase and identifying the relevant evidence and compliance checks.
How it connects
Links credit risk, KYC, KYB, credit scoring, vintage analysis, survival analysis, and data governance to lifecycle decisions.

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.