What is SAS Intelligent Decisioning?
SAS Intelligent Decisioning is cloud-based software that combines AI, machine learning, and business rules to automate thousands of operational decisions every day. Whether managing customer interactions, mitigating risk or optimizing operations, it delivers the right action in real time – increasing speed, accuracy and business confidence.
How does SAS Intelligent Decisioning work?
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Deliver real-time decisions across every use case
- Automate operational, customer, and risk decisions with speed and precision.
- Test and validate decision flows before deployment to ensure expected outcomes.
- Scale effortlessly with a cloud-native architecture capable of handling high volumes of data and decisions.
- Deploy decisions at the edge or in stream by integrating with IoT devices and real-time systems
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Collaborate across teams to accelerate decision-making
- Build and modify decision processes, whether you code, use drag-and-drop or work collaboratively.
- Compare versions and track changes to ensure transparency and accuracy.
- Browse centralized data sources, analytical models and business rule repositories to define decisions.
- Apply role-based governance workflows to maintain compliance and decision integrity.
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Improve decision quality with AI & analytics
- Build and modify decision processes, whether you code, use drag-and-drop or work collaboratively.
- Browse centralized data sources, analytical models and business rule repositories to define decisions.
- Compare versions and track changes to ensure transparency and accuracy.
- Apply role-based governance workflows to maintain compliance and decision integrity.
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Deploy analytical models quickly & consistently
- Leverage a common authoring and deployment environment to reduce IT validation time.
- Integrate models, business rules, and external data sources in a single interface.
- Deploy identical logic for batch or real-time execution to ensure accuracy and confidence.
- Automate performance monitoring and retraining alerts to ensure long-term model reliability.
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Extend decisioning inside the Microsoft Power Platform
- Connect SAS Viya to Power Apps and Power Automate to trigger analytical models and decision modules.
- Combine AI-driven analytics with Microsoft workflows to build smarter, fully automated business processes.
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Execute more decisions with less effort
- SAS Container Runtime allows scalable execution of SAS and Python models in OCI-compliant containers.
- Reduce management overhead while accelerating execution of high-volume, data-driven decisions.
- Publish to cloud registries on Azure, AWS or GCP to maximize infrastructure efficiency.
- Streamline deployment across hybrid environments to ensure consistent performance at scale.
See SAS Intelligent Decisioning in action
Organizations of all sizes are working smarter with SAS Intelligent Decisioning
Key features
Easily create, manage and govern robust, analytically driven business rules to power data-driven decisions at scale.
Flexible data orchestration
Integrate disparate data sources and third-party APIs using flexible message specifications to power real-time triage and reporting.
Self-service data visualization
Explore data through self-service interfaces and augmented analytics to uncover hidden patterns and share interactive reports.
Visual decision authoring
Create complex decision flows and rule sets using a drag-and-drop GUI or custom code (Python/SAS) in a unified environment.
Centralized logic governance
Maintain full version control and auditability across the decision life cycle to ensure consistency between IT and business teams.
Real-time decision intelligence
Apply high-speed analytical scoring and business rules during live customer interactions to deliver immediate, data-driven outcomes
Reusable logic assets
Create shareable content and custom functions to standardize and accelerate decisioning across the entire organization.
Accelerated life cycle management
Streamline business rule definition and deployment through integrated CI/CD processes to ensure rapid, governed responses to changing data and customer dynamics.
Integrated machine learning & model management
Bridge the gap between development and production by managing SAS and open source models in a common, monitored repository.
Cloud native containerization
Deploy lightweight, OCI-compliant containers (SAS Container Runtime) across Azure, AWS or GCP to handle high-volume workloads.
Microsoft Power Platform integration
Embed decision intelligence directly into web and mobile apps using the SAS Decisioning Power Connector for the Microsoft Power Platform.
SAS Viya is cloud-native and cloud-agnostic
Consume SAS how you want – SAS managed or self-managed. And where you want.
Related products, solutions & capabilities
- Customer Engagement Platform | SAS® Customer Intelligence 360Individualize every customer interaction in real time with a powerful customer engagement platform.
- SAS for Risk Modeling & Decisioning | Powered by AzureModernize risk across the organization with a trusted solution for managing analytical models and decision strategies.
- SAS® Decision BuilderExplore SAS Decision Builder, the decision intelligence platform from SAS and Microsoft for better decision making.
- SAS® Event Stream ProcessingUse machine learning and streaming analytics to uncover insights at the edge and make real-time, intelligent decisions in the cloud.
- SAS® Model ManagerSimplify the creation and management of your model collection with a web-based interface that easily automates the model management process.
- SAS® Viya®Benefit from faster data integration, effective model development and reduced cloud costs.
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.