Articles

  • Evaluating the ROI of Moving to a Decision Engine for Risk Management

    This article breaks down the ROI of moving risk management from hard-coded logic to a decision engine. It uses a Latin America-based lending company to compare current development costs, deployment speed, and explainability against a more flexible decision flow.

    Published on:: 2024-08-10 18:36:09

  • 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.

    Published on:: 2024-08-10 18:36:09

  • The process of implementing a decision engine

    Implementing a decision engine lets companies automate and scale decision-making to reduce costs, accelerate processes, and improve efficiency. This article walks through the practical steps, from identifying candidate business processes and mapping existing decision logic and data, to formalizing a decision model, selecting the right engine, and deciding whether to use internal expertise or external consultants.

    Published on:: 2024-08-10 18:36:09

  • Creating, Modifying, and Testing Business Rules in Decisimo

    Creating business rules should not slow down decision logic. This article shows how Decisimo helps teams create, modify, reorder, and test rulesets through a clear, auditable process.

    Published on:: 2024-08-10 18:36:09

  • Simplify ML deployment with Decisimo: A clear platform for decision making - Decisimo

    This article shows how Decisimo fits into ML deployment when you need more than a model endpoint. It explains how to build decision flows, connect models with rulesets and decision tables, and use Python or R outputs inside real decision logic for use cases such as credit scoring and risk-based pricing.

    Published on:: 2024-08-10 18:36:09

  • What is a decision engine?

    See what a decision engine does and how it automates repeatable, data-driven decisions. It supports use cases like loan approvals, fraud checks, and customer service routing, producing consistent outcomes in real time or batches to improve accuracy and scale.

    Published on:: 2024-08-10 18:36:09

  • What to Look for in a Rule Engine for Automated Decision Making - Decisimo

    When evaluating a rule engine for automated decision making, focus on the capabilities that affect accuracy, speed, and governance. This article covers execution speed, rule management and UI, integration, scalability, security, auditing, and machine learning support.

    Published on:: 2024-08-10 18:36:09

  • Why JSONPath Improves Data Access in Our Engine

    JSONPath gives a rule engine a direct way to access nested JSON data and avoids hardcoding every attribute. This article explains why that matters, how it handles dynamic structures and arrays, and what the syntax looks like in practice.

    Published on:: 2024-08-10 18:36:09

  • Advanced decision management systems vs BRMS

    Traditional BRMS can execute rules. Modern decision management systems handle more. This article explains why cloud-based decision management is a better fit for fintech, insurance, and e-commerce, with faster decisioning, more flexibility, and stronger support for compliance and real-time data.

    Published on:: 2024-08-10 18:36:09

  • AI Reshapes Collections - Decisimo

    AI is changing collections from broad outreach to targeted action. This article explains how segmentation, decision logic, and voice bots can improve recovery rates, cut the amount of manual work, and help teams focus on the right accounts at the right time.

    Published on:: 2024-08-10 18:35:48