Credit Risk

Filter by:

Type:

Tag:

Business Domain

Lending & Credit

Lending and credit depend on decisions about who to lend to, on what terms, at what price, and how to respond as borrower circumstances change. AI creates an opportunity to improve credit decisions, anticipate repayment behavior, and tailor actions throughout the lending lifecycle.

1 Nov 2024 lending credit

Business Domain

Mortgages

Mortgages bring together acquisition, affordability, underwriting, collateral, servicing and long-term customer decisions. AI creates an opportunity to improve decisions across the mortgage lifecycle, from identifying viable prospects through to refinancing, modification and financial distress.

1 Nov 2024 mortgages lending

insights · 13 min read

The Banks That Win Will Not Take More Credit Risk. They Will Understand It Better.

Banking interfaces are becoming easy to imitate. A competitor can copy a digital application journey, strip out paperwork and present a prequalified offer in seconds. The experience around a credit decision is far easier to reproduce than the decision itself. AI is reshaping that decision, but the opportunity is not to relax standards or approve more applicants because a model is more complex. It is to separate customers who present genuine risk from customers who only appear risky because the bank does not understand them well enough.

5 Sep 2026 banking lending

Retail Banking · 7 min read

Loan Origination: The Creditworthy Applicants Your Model Cannot See

Better underwriting on a $1B loan portfolio is worth $2–5M in avoided losses annually. That is the cost of the decision quality gap on the population your model can already see. The larger and less visible cost is the creditworthy population your model cannot see at all — and the digital-first lenders that are approving them instead.

12 May 2026 Loan Origination Credit Risk

Retail Banking · 7 min read

Mortgage Delinquency: The Intervention That Works Is the One That Happens Before the Missed Payment

Early delinquency signals in mortgage portfolios are detectable in behavioral and transaction data weeks before a payment is missed. The intervention options available at that point are substantially broader, cheaper, and more likely to succeed than those available after the first missed payment. Most banks are not intervening at that point because they are not identifying the risk until it surfaces.

12 May 2026 Mortgage Servicing Delinquency Prediction

Retail Banking · 6 min read

Mortgage Underwriting: When Two Underwriters Reach Different Conclusions on the Same File

Manual mortgage underwriting introduces variability that has a cost in both directions. A creditworthy borrower declined by one underwriter would have been approved by another. A marginal borrower approved on a subjective judgment would have been declined on a consistent model. AI-assisted underwriting does not replace underwriter judgment. It makes it consistent.

12 May 2026 Mortgage Underwriting Credit Risk