Drive real-time interactions and automate digital decisioning at scale with our decision intelligence technology

SAS Intelligent Decisioning overview with highlights

What is SAS Intelligent Decisioning?

SAS Intelligent Decisioning is cloud-based software that helps you make automated, data-driven decisions in real time. It combines business rules, analytics and machine learning models to deliver the best action – whether you're interacting with customers, managing risk or improving operations.


What analysts are saying

SAS IS A LEADER

IDC MarketScape: Worldwide Decision Intelligence 2024


Organizations of all sizes are working smarter with SAS Intelligent Decisioning

  • Automating credit decisions for a digital-first future

    Romania-based Nexent Bank embraces a digital-first strategy with SAS Intelligent Decisioning to streamline credit approval and improve customer experience.

  • Optimizing the supply chain with analytics and IoT

    Georgia-Pacific uses SAS Intelligent Decisioning to detect anomalies and increase equipment efficiency.

  • Automating, optimizing and managing the complete offer process with intelligent decisioning

    German telco provider 1&1 collaborates with SAS and partners to improve offer management, accelerate time to market and enhance the customer experience, achieving higher conversion rates via relevant real-time offers.

  • Making faster, more informed credit decisions

    SAS helps VietCredit better understand, evaluate and authenticate potential customers by collecting and analyzing information from social networks, telco and utility providers, and e-commerce vendors to shed light on consumer behavior patterns.

  • Providing better customer service and faster, more accurate loan processing

    SAS helps Finland's top retail bank apply AI to improve customer service and credit scoring, with automated processes that enable faster, better decision making.


    Key features

    Easily create, manage and govern robust, analytically driven business rules to power data-driven decisions at scale.

    Flexible, configurable data orchestration & enrichment

    • Integrate any data effortlessly with flexible message specification. 
    • External messaging APIs connect with triage, case management, decision fulfillment and reporting systems, all while managing third-party screening engine requests and responses on a single platform.

    Data visualization

    • Visually explore data and create and share smart visualizations and interactive reports through a single, self-service interface. 
    • Augmented analytics and advanced capabilities accelerate insights and help you uncover stories hidden in your data points​.

    User-friendly interface

    • Build and manage even the most complex decisioning elements with ease – including decision flows, rules, data sources code nodes and analytics – using a drag-and-drop GUI or writing code in the language of your choice.

    Common decision authoring & deployment environment

    • Simplify validation of the entire decision flow. 
    • Complete version control preserves documentation, testing traceability and continuity in an environment shared by IT and the business.

    Real-time decision intelligence

    • Apply analytics and business rules in real time during customer interactions and operational business processes.

    Reusable content

    • Create reusable content and custom functions to accelerate decisioning across the organization.

    Rapid, well-governed decision intelligence life cycle management

    • Quickly respond to changing data sources, decisions and customer dynamics.
    • Speed up common manual tasks, such as business rule definition and deployment, in a controlled and safe environment to ensure decision intelligence quality and auditability. 
    • Easily integrate your organization's CI/CD processes.

    Integrated with SAS machine learning & model management capabilities

    • Use with SAS Model Studio for integrated model development and management capabilities – both SAS and open source. 
    • A common model repository facilitates centralized model governance and monitoring.

    Cloud native

    • The architecture of SAS Viya is compact, cloud-native and fast. 
    • Whether you prefer to use a public or private cloud provider, you'll be able to make the most of your cloud investment.

    Better together with Microsoft

    • The SAS Decisioning Power Connector enables you to include decisioning as part of the Microsoft Power Platform. 
    • You can easily embed models and decisions in web and mobile apps. 
    • Automate business processes with intelligent decisioning. 
    • Centrally manage business rules.


    Recommended resources for SAS Intelligent Decisioning

    E-Book

    Decisions you can trust: A strategic guide to trustworthy data and AI decision making

    Blog

    What’s in a decision? Four components needed to operationalize your analytics



    SAS Intelligent Decisioning frequently asked questions

    What does SAS Intelligent Decisioning do?

    SAS Intelligent Decisioning automates business decisions by combining rules, analytics and AI models. The software delivers real-time recommendations or actions during customer interactions, operational processes or risk assessments.

    How does SAS Intelligent Decisioning work?

    You build decision flows using visual tools and business rules, add models from SAS or open source, test them and deploy into real-time systems or batch processes. Decisions are monitored and governed to ensure accuracy and compliance.

    What problems does SAS Intelligent Decisioning solve?

    SAS Intelligent Decisioning helps organizations respond instantly to customer behavior, personalize offers, reduce fraud, manage risk and remove manual decision steps in operations.

    Can SAS Intelligent Decisioning use AI and machine learning models?

    Yes. SAS Intelligent Decisioning supports SAS, Python and open source models. Models can be imported from a model repository, combined with rules and deployed into production for real-time or scheduled decisions.

    Who uses SAS Intelligent Decisioning?

    Typical users include data scientists, business analysts, risk teams and IT teams in industries such as banking, insurance, retail, telecom and government.

    What are the benefits of using SAS Intelligent Decisioning?

    Key benefits include faster decision making, improved accuracy, consistent governance, easier model deployment and reduced operational costs.

    Does SAS Intelligent Decisioning support real-time decisions?

    Yes. SAS Intelligent Decisioning can evaluate data and apply decision logic in milliseconds, making it ideal for use cases like customer engagement, fraud detection and transaction approvals.

    How is SAS Intelligent Decisioning deployed?

    SAS Intelligent Decisioning runs on the SAS Viya platform, which is cloud-native and can be deployed on public cloud, private cloud or on-premises environments. It supports APIs, containers and CI/CD pipelines.