Consumer Lending Hub | Decisimo

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  After eligibility checks, add anti-fraud rules to the same decision flow. For consumer lending and BNPL, combine KYC verification with velocity, volatility, and concentration/networking controls to stop fraud early. This article explains four rule types (veracity, volatility, velocity, concentration/networking), which signals and data points to cross-check, and practical steps to add these checks to your decision flow to detect synthetic identities and suspicious application patterns.

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  Choosing an antifraud model starts with 2 questions: how much control you want, and how much fraud expertise you have in-house. This article compares outsourced, hybrid, and internal approaches, and shows where each model fits in eCommerce operations.

• How a Rule Engine Helps Reduce Costs in Fintech

  This article explains how a rule engine reduces loan approval costs by automating KYC and routine checks. It covers quality assurance gains, lower default risk from transparent decision logic, and why rule design affects compliance.

• How to test a decision table properly

  Start by defining the table’s purpose. Then iterate. Draft test cases from each condition and action, run them, verify the outcomes, and refine the decision logic until it behaves predictably. Use synthetic datasets and valid value ranges when missing results are acceptable, or use exhaustive, edge-case testing, manually or with a tool, when the table must always return a result.