What is decision intelligence?
Decision intelligence helps you turn data-driven insights into better business decisions. By combining data, analytics, AI, business rules and human judgment, it enables more informed, consistent and timely decisions across strategic, tactical and operational processes.
Decisioning puts decision intelligence into action by using AI, analytics and business rules to automate operational decisions such as fraud detection, credit evaluation, claims processing and customer experience personalization. Together, they help you make trusted decisions faster, reduce risk and improve business outcomes.
Why decision intelligence matters for businesses
Organizations are making more decisions than ever before, and they need to make them faster, more consistently and with greater confidence. As data volumes grow, AI capabilities expand and customer expectations continue to rise, turning insights into action becomes increasingly complex. Decision intelligence helps you combine AI, analytics and business rules to make trusted, repeatable decisions that improve business outcomes at scale.
69%
share of decisions made during customer engagement that will be completed by smart machines by 2030
402M
terabytes of data created daily, providing organizations with opportunities to serve customers better
50%
business decisions that will be augmented or automated by AI-powered decision intelligence by 2027
Together, these trends show a clear shift toward AI-driven, automated decision-making across fraud prevention, risk management, customer experience and beyond.
How decision intelligence works
Decision intelligence combines data, business logic and analytics to evaluate information, determine the best course of action and continuously improve outcomes.
Data
The foundation of the decision, in structured and unstructured formats that flow through the decision.
Inputs
The signals your organization considers, including customer details, transactions, events or sensor readings.
Business Logic
The reasoning applied to those signals, including rules, thresholds, policies or predictive insights that interpret what the inputs mean.
Constraints
The limitations for a decision, including regulations, budgets and capacities.
Outcomes
The results of a decision, whether it’s an approval, denial, escalation or alert.
How SAS uses AI to power decision intelligence
SAS supports decisioning with AI by analyzing complex data, detecting patterns humans might miss, and recommending next-best actions in real time across use cases like fraud detection, credit risk and customer personalization.
AI enhances decision logic, improves predictive accuracy and accelerates outcomes – while SAS ensures governance, explainability and human oversight through built-in constraints and controls.
Which industries use decision intelligence?
Organizations across all sectors rely on decision intelligence to make faster, smarter and more consistent choices. From banking and insurance to retail, manufacturing and beyond, SAS helps businesses automate processes, reduce risk and deliver personalized experiences. By embedding analytics and business rules into everyday workflows, companies can act in the moment to drive measurable results.
Why choose SAS for decision intelligence?
Organizations need more than accurate predictions. They need trusted, explainable and governed decisions that drive measurable business outcomes. For more than 50 years, SAS has helped organizations combine AI, analytics, business rules and industry expertise to transform data into confident decisions at enterprise scale.
Select a tab below to learn how SAS powers trusted decision intelligence.
Trusted, governed data for decisioning
- Build reliable data pipelines that deliver trusted, validated data for analytics and decisioning.
- Govern data, decisions and outcomes to support oversight, compliance and accountability across the decision life cycle.
Proven AI models with transparent, explainable results
- Apply decades of AI and advanced analytics expertise to complex business decisions.
- Understand how decisions are made with explainable AI that supports transparency, regulatory requirements and stakeholder confidence.
Decisions optimized for real-world outcomes
- Combine AI, analytics and business rules to automate and embed decisions across business operations.
- Empower business users and technical teams alike with intuitive, low-code capabilities that accelerate decision design and deployment.
- Apply industry expertise to ensure decisions reflect real-world business priorities, operational constraints and regulatory requirements.
Real-time decision automation at scale
- Deploy decision flows across cloud, hybrid and on-premises environments.
- Integrate analytical models with business rules to make trusted decisions in real time.
- Monitor, govern and continuously improve decision performance as business conditions evolve.
Recommended decision intelligence products & solutions
- Customer Engagement Platform | SAS® Customer Intelligence 360Individualize every customer interaction in real time with a powerful customer engagement platform.
- SAS® 360 Marketing DecisioningDeliver real-time, AI-driven personalized marketing, optimize next-best actions and boost ROI with intelligent orchestration.
- 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® Fraud DecisioningDetect, prevent and manage fraud across the full customer life cycle – in real time – with a cloud-native, next-generation fraud decisioning solution.
- SAS® Intelligent DecisioningEasily create, manage and govern robust, analytical and business rule-based processes to power decision intelligence and agentic workflows at scale.
- 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.
Recommended resources for decision intelligence
SAS decision intelligence frequently asked questions
What is decision intelligence?
Decision intelligence is the discipline of improving business decisions by combining data, analytics, AI, business rules and human expertise. It brings together people, technology and processes to help organizations make more informed, consistent and timely decisions across the business. For operational decisions, organizations often use decisioning capabilities to automate and govern decisions in real time.
What is a decision engine?
A decision engine is software that evaluates data, applies business rules and analytical models and determines the best action to take for a specific situation. Organizations use decision engines to automate decisions such as fraud detection, credit approvals, claims processing and personalized customer interactions.
At SAS, these automated decisions are designed and managed through decision flows that combine AI, analytics and business rules to deliver trusted, governed decisions at scale.
What's the difference between decision intelligence, decisioning and a decision engine?
Decision intelligence is the overall discipline of improving business decisions through data, analytics, AI, business rules and human expertise.
Decisioning operationalizes decision intelligence by automating decisions using AI, analytics and business rules.
A decision engine is the technology that evaluates data, applies decision logic and determines the next best action.
What are business rules?
Business rules are the policies, conditions and logic that guide how decisions are made. They help organizations automate decisions consistently while ensuring they align with business objectives, regulatory requirements and operational policies. In SAS, business rules work alongside AI and analytics to deliver trusted, governed decisions.
Why is decision intelligence important?
Decision intelligence helps organizations make faster, more consistent and transparent decisions by embedding AI, analytics and business rules directly into operational workflows. This improves decision quality, reduces risk and enhances customer and business outcomes.
Which industries use decision intelligence?
Organizations across banking, insurance, retail, health care, manufacturing, public sector and telecom use decision intelligence to automate decisions, reduce risk, improve customer experiences and optimize operations.
How does SAS support decision intelligence?
SAS supports decision intelligence by combining AI, analytics, business rules and decisioning capabilities to help organizations automate decisions, improve consistency, reduce risk and continuously optimize outcomes. Organizations can design, deploy, monitor and govern decisions across a wide range of business processes.
Can decision intelligence support real-time decisions?
Yes. Decision intelligence uses decisioning capabilities to process high-volume data in real time, enabling automated or guided decisions for immediate business impact.
How does decision intelligence improve customer experiences?
Decision intelligence improves customer experiences by using decisioning capabilities to deliver personalized offers, timely recommendations and consistent interactions based on real-time insights.