Articles

  • Who, or What, Makes the Decisions Here?

    This article explains who and what make operational decisions, and why control of decision logic matters. It covers how centralized decision engines apply consistent rules, speed processing, reduce errors, and compares platform types.

    Published on:: 2024-08-10 18:48:28

  • How to integrate Companies House into a decision engine

    This article explains how to connect Companies House to a decision engine and use UK company data in automated checks. It covers API key setup, Decisimo data source configuration, and how to add the lookup to a decision flow for faster business verification and credit assessment.

    Published on:: 2024-08-10 18:48:28

  • How to integrate SEON Antifraud Check into a decision engine

    This article shows how to connect SEON Antifraud Check to a decision engine and use it in a decision flow. It covers the API key setup, data source configuration in Decisimo, and how to run the check in parallel with other sources for faster evaluation.

    Published on:: 2024-08-10 18:48:28

  • Better decision making with alternative data

    Alternative data can improve decision making, but only when the source is reliable and the collection method is clear. This article explains the difference between primary and secondary data, where enrichment helps, and why assisted login data collection creates specific risks for data quality and integrity.

    Published on:: 2024-08-10 18:48:28

  • How Decision Making Evolved

    Decision logic moved from hard-coded if-then rules to predictive, data-led methods. Early systems were rigid. Requirements moved faster than code, so static rules fell behind. This article explains that shift, the rise of LLMs and agentic AI, and why deterministic, replayable decisions still matter in finance and insurance.

    Published on:: 2024-08-10 18:48:28

  • Email address profiling

    Email address profiling is a low-cost, high-signal way to assess customer quality. In fintech and insurance, it can support credit risk and actuarial ML models. By extracting username features such as first or last name presence, numbers, nickname or gibberish indicators, and Levenshtein distances, along with domain signals such as MX or WHOIS deliverability, disposable email detection, and provider type, teams can improve scoring, fraud detection, and deliverability decisions.

    Published on:: 2024-08-10 18:48:28

  • How to detect Google Suite hosted email address

    This article explains how to detect Google Suite-hosted email addresses by checking DNS MX records, and why public data cannot reliably show whether an account is a paid G Suite instance or a legacy free Google Apps account. It then shows how to query MX records through a DNS API and implement the check in Decisimo with a sample data object, data source, and decision flow.

    Published on:: 2024-08-10 18:48:28

  • 3-minute guide

    This 3-minute guide shows how to connect Decisimo, configure decision logic, and test a release before it goes live. It walks through the setup in 3 steps, from API integration to production deployment, so you can start making decisions with a clear process.

    Published on:: 2024-08-10 18:48:28

  • How to integrate FraudlabsPro into a decision engine

    This guide shows how to connect FraudLabsPro to Decisimo and use it inside your decision logic for eCommerce transaction evaluation. It walks through setup, required API details, and the data fields that help you review, approve, or reject transactions with clearer traceability.

    Published on:: 2024-08-10 18:48:28

  • How to integrate Ekata Address Risk API into a decision engine

    This article shows how to connect Ekata Address Risk API to a decision engine in Decisimo. It covers API key setup, data source configuration, and how to add the call to a decision flow so address checks run as part of decision logic.

    Published on:: 2024-08-10 18:48:28