• Juris DecisionCraft2026-10-27T13:59:05+08:00

    Juris DecisionCraft

    Power your business strategies with data-driven decisions

    What is Juris DecisionCraft?

    Juris DecisionCraft is an auto-decisioning engine that orchestrates and synergises different data and analytics from different systems or sources to produce the best decision possible.

    It empowers businesses across various industries to use data-driven insights to make complex, critical decisions in real-time with precision and confidence. A no-code technology with easy-to-use web interface, Juris DecisionCraft gives businesses the ability to enhance decision models within the system even without programming or specialised technical knowledge.

    Why Juris DecisionCraft?

    Automated Decision Software

    Find the best decision model

    Test and experiment with different decision models with Champion Challenger to determine the best model that gives the most favourable outcome.

    Integrates data and analytics from different sources to achieve the best result

    Juris DecisionCraft compiles data and analytics from multiple sources (internal and external) or a dataset of rules to provide the best result-based decision recommendation.

    Integrate third-party data sources such as credit bureaus, SSM, AMLA, Shariah compliance, or AI models into the decisioning engines.

    Best Auto-Decisioning Engine
    Better Decisions with A Decision Engine

    Automated decisioning

    Optimises the decision-making process by automating business decisions based on data, defined criteria and rules set.

    Reduce manual work and human intervention so that your managers can spend time on more complex tasks.

    Unleash the power of real-time decisioning

    Synergises multiple data sources in real-time so that the engine is able to create actions and deliver them instantly.

    Make the right decision in real-time and eliminate delays that cause your business to lose customers while enhancing customer experience as a whole.

    Automated Decision Engines
    Automated Decision-Making System

    Assess the potential business impact of the decision model before it goes live

    Edit and test models with ease with powerful error-checking, logic validation, visual comparison, and decision simulation tools.

    How Does Juris DecisionCraft Work in the Financial Industry?

    Automated Decision Software
    Decision Management System

    Core Functionalities

    FAQs

    Juris DecisionCraft is our no-code auto-decisioning engine. It pulls data from internal systems and external sources such as credit bureaus, SSM, AMLA screening, and Shariah compliance checks. It then applies the institution’s rules and scorecards to recommend a decision in real time. It also supports decisions in digital onboarding and in collection and recovery.

    A credit scoring engine produces a score for a borrower. A risk decision engine applies your rules, scorecards and models to customer data and returns a decision, such as approve, refer or decline, in real time. Juris DecisionCraft combines scores, bureau data and policy checks, so each approval follows your credit policy.

    Scorecards, rules and formulas assess creditworthiness and eligibility, and scores map to grades that recommend an approve, refer or decline outcome. The engine returns the result in real time and escalates exceptions, so your staff review only the cases that need judgement.

    Yes. Juris DecisionCraft lets you layer several rule sets, decision matrices, scorecards and policies all in one decision flow. Scorecards run in pre-qualifying, specific, pre-final and final tiers, so you can score an applicant and a guarantor separately and combine the results into one grade.

    For example, in projects, it has handled:

    • Separate limit ceilings by employment type and risk grade
    • Limits computed as the lower of an income multiple and a product cap
    • Split installment and revolving limits

    Yes. Juris DecisionCraft is web-based and no-code, with a graphical rule builder:

    • Rule Builder Engine: credit and risk teams build their own decision frameworks.
    • Expert Rule Builder: sets up decision models in a few clicks and shows several configuration types in one view.
    • Formula builder and decision matrix handle ratios, affordability and input-to-outcome mapping.

    Yes. Juris DecisionCraft can combine deterministic business rules with AI and machine-learning model outputs in one decision flow. You define rules in the rule builder, and the engine applies them consistently, so identical inputs give identical outcomes.

    Yes. Every outcome can carry the decision, the score result and the specific policy rules that failed. Rules and scorecards stay visible in the rule builder, so your teams can trace how and why each decision was made. An audit log records every change to rules, and impact analysis shows the effect of a change before it goes live.

    Juris DecisionCraft can generate decision status for exception cases to “Refer” rather than auto-approving or declining them. Multi-level approval routing usually lives in the loan origination system, such as Juris Origination, not in the decision engine. Hence, Juris DecisionCraft flags exceptions; Juris Origination routes them through approval levels.

    Yes. Dynamic Test, bulk score extraction, back testing and impact analysis show the effect of a change before you decide to deploy the scoring workflow. We also have Champion Challenger to perform randomised experiment on the components that involves at least two variants to determine which performs better. Users can choose to split into more than two routes as long as the total percentage does not exceed 100. Hence, Champion Challenger testing runs competing strategies side by side to find the one with the best outcome.

    Yes. We can connect to credit bureaus, alternative data provider, internal or external third-party system, your core banking, origination and collection systems. Once the scoring workflows are configured, we can generate the decision automatically in real time.

    Juris DecisionCraft is Open API ready, we can integrate via Rest API.

    Scoresets group scorecards by product, line of business or customer category, such as personal financing, hire purchase and mortgage. Digital onboarding, digital lending, and collection and recovery solutions use the same engine, so you build decisioning for each journey in one place.

    Maker-checker requires a second user to approve every rule or scorecard change before it goes live. Role-based access controls who can configure, view or modify rules, and an audit trail records the maker, checker, timestamps and comments. Version control tracks each change.

    Standard reports include A/B test simulation, case data extraction and evaluation, and you can build custom reports for your own needs.

    Banks evaluating credit decisioning software should check:

    • No-code policy configuration by business users
    • Real-time decisions
    • Pre-go-live simulation and Champion/Challenger testing
    • Explainable outcomes with reason for every decision
    • Governance: versioning, maker-checker, audit trails and role-based access
    • API integration with bureaus, registries and alternative data
    • Performance at scale and the deployment options available

    Make instant and precise decisions with Juris DecisionCraft today

    Related Insights

    Data-Driven Decision-Making in Banking: A Practical Guide

    Banks today are sitting on mountains of data, yet many still rely on outdated processes to make critical decisions. This guide explores how data-driven decision-making in banking reshapes customer experience, risk, operations, and tech infrastructure. Learn how predictive analytics, composable systems, and AI platforms like Juris Mindcraft, Juris DecisionCraft, and Juris AICraft help banks move faster, stay compliant, and deliver better outcomes.

    What Digital Banks Know That Traditional Banks Don’t

    Digital banks in Southeast Asia are setting new standards in speed, personalisation, and operational efficiency—leaving traditional banks struggling to keep up. This quick 5–10 minute read explores the strategies digital banks use to thrive, the common challenges traditional banks face, and how they can bridge the digital divide through innovation, AI, and customer-centric transformation.