Articles

Using adverse media analysis in KYB and KYC screening

Adverse media checks catch risk that basic identity and sanctions screening can miss. The right process starts with fast flagging, then uses deeper analysis to separate real issues from false matches and unrelated names.

Why BNPL Changes the Economics of Consumer Finance

Consumer finance has always depended on a simple idea: lend against something that creates value or preserves access to value. Buy now, pay later changes that model. It combines parts of installment lending, revolving credit, and merchant finance, but it also changes the risk profile, the economics, and the operating model.

This article looks at consumer finance through the lens of business model design, credit risk, fraud risk, portfolio risk, operational risk, and return on capital.

Decision Tree vs Decision Table: When to Use Each

Decision trees and decision tables solve the same problem in different forms. Both can express decision logic, and both can be translated into each other, but they are not equally useful for every job. The right choice depends on whether you need visual segmentation, compact lookup logic, or a structure that stays readable as rules change.

Why Decision Lineage Matters in Chained Decision Flows

Decision flows are no longer single tables or isolated rulesets. They chain rules, third-party calls, segment splits, and model steps, which makes the final outcome harder to explain unless you track decision lineage at each step.

Merchant Risk Evaluation for BNPL and Consumer Lending

Merchants sit at the front line of fraud in BNPL and point-of-sale financing. A scalable merchant risk process needs to separate what can be automated from what still needs human review, then keep monitoring after approval.

Private State Tokens in Online Antifraud: What They Change and Where They Fit

Private State Tokens are a privacy-preserving signal for online trust. They can help separate real users from automated abuse and do not rely on traditional fingerprinting, which is getting harder to use as browsers tighten privacy controls.

How to Import a Trained Model into a Decision Flow

To use a trained model in Decisimo, first package it, then define how the engine should call it. The key is simple. The model must accept the right inputs, in the right order, with the right data types, so its predictions can feed the next step in your decision flow.

How to Start a Consumer Lending or BNPL Business

Starting a consumer lending or BNPL business is not about launching a loan product and hoping demand appears. It is about building a licensing, funding, decisioning, servicing, and collections operation that can scale and keep control of risk. This guide breaks down the core business models, operating flow, technology stack, and decision logic you need to run it.

Promise to Pay in Consumer Lending: How to Track, Test, and Improve Collections

Promise to Pay is one of the few early-stage collections signals that ties directly to recovery outcomes. The problem is not making the commitment itself. The problem is tracking it well, structuring the call flow around it, and using data to decide what happens when the promise is broken.

Mystery Shopping in Lending: How to Test Third-Party Sales Channels

Mystery shopping is one of the few ways to see how lending is really sold outside your office. It shows whether partners explain terms correctly, follow consumer finance rules, and present your brand and product as intended.

That matters in BNPL, car leasing, and any model that uses third-party agents. The risk is not only poor conversion. It is regulatory exposure, inconsistent sales behavior, and approval-chasing nudges that change the customer journey.