What is artificial intelligence from SAS?
Artificial intelligence from SAS combines AI, advanced analytics and decisioning to help you solve complex business problems and make more informed decisions. With composite AI, SAS brings these capabilities together so you can apply the right approaches to your business and industry needs.
One platform. Every AI technique you need.
Rather than relying on a single model or method, SAS combines agentic AI, generative AI, machine learning and advanced analytics so you can use the approach best suited to each business challenge, with governance built in from the start.
The platform can keep generative and agentic AI subordinate to governed rules and constraints rather than allowing them to act autonomously. It will appeal to organizations in banking, insurance, health care, government or manufacturing that need decision logic to be explainable, auditable and defensible to regulators."IDC MarketScape: Worldwide Decision Intelligence Platforms, 2026
Why choose SAS for AI solutions?
SAS helps you apply AI to complex enterprise needs with a combination of advanced analytics, AI, decisioning, governance, interoperability and industry expertise. Together, these capabilities help you make trusted decisions and move from AI experimentation to measurable business outcomes.
COMPOSITE AI ADVANTAGE
Combine AI techniques to solve complex problems
SAS composite AI brings together agentic AI, generative AI, machine learning, advanced analytics, optimization and other analytical techniques to support decisions beyond language models alone. SAS AI agents can reason over structured and unstructured data, models and analytical results, while SAS® Viya® Copilot provides AI assistance across the data and AI life cycle.
GOVERNED TRUST BY DESIGN
Build trust into AI from development through deployment
SAS integrates data quality, bias and PII remediation, adversarial testing, model validation and governance into the AI life cycle. Auditable and transparent AI processes help you monitor models and agentic decisions and apply responsible AI practices in regulated and high-stakes environments.
OPEN & INTEROPERABLE ECOSYSTEM
Connect with the technologies and environments you already use
SAS supports open, interoperable AI ecosystems, enabling agents built with third-party tools to access SAS AI capabilities through technologies such as Model Context Protocol (MCP). Organizations can deploy SAS AI across environments while maintaining a governed, trusted foundation.
INDUSTRY-READY OUTCOMES
Apply AI to real-world industry challenges
SAS provides domain-focused models and agents designed for specific business and industry problems, helping you move beyond generic AI assistants to solutions grounded in industry needs and business logic. This industry expertise helps accelerate time to value and support outcomes in complex analytical environments.
Proven AI performance & productivity
Independent research firm The Futurum Group evaluated SAS Viya’s performance, cloud efficiency and productivity compared with competing data and AI platforms. The studies found that SAS Viya delivered faster processing, lower cloud costs and greater productivity across the data and AI life cycle, helping data and AI teams work more efficiently and achieve results faster.
Explore SAS AI solutions
Apply AI across the enterprise with core capabilities for building, generating and governing AI, complemented by solutions for operationalizing AI, accelerating industry use cases and making intelligent decisions.
Core AI capabilities
Agentic AI
Build and deploy intelligent AI agents that can reason, act and support complex decisions with trust and governance built in.
Generative AI
Accelerate enterprise productivity with flexible generative AI orchestration, governance and model choice. Connect leading foundation and open source models to your data, analytics and business decisions to deploy trustworthy generative AI at scale.
AI governance
Reduce risk, improve transparency and support regulatory compliance with end-to-end AI governance. Embed governance controls across the AI life cycle – from models and generative AI to autonomous agents – to build trustworthy, explainable AI systems and scale AI responsibly across your organization.
More ways to apply & extend AI
AIOps
Move models, LLMs and agents from experimentation to trusted production with continuous evaluation, observability, orchestration and governance.
Industry AI accelerators
Apply packaged AI models and solutions tailored to industry needs to accelerate innovation and deliver results faster.
AI decisioning
Combine AI, analytics, data and business rules to automate and optimize complex decisions at scale.
Open & interoperable
Connect AI models, agents and applications across your technology ecosystem with open standards and governed access to SAS analytics and decisioning.
Prioritize trustworthy AI & governance
Results you can trust
Build trust into AI with governance, transparency and responsible practices across the AI life cycle – from development and deployment to monitoring and decision-making.
Recognized for AI governance
Chartis RiskTech Quadrant® for AI Governance Solutions, 2025 recognizes SAS as a category leader, citing capabilities spanning model coverage, governance, data management, model management, visualization and workflow.
We help our customers innovate for tomorrow
Recognized for AI innovation & leadership
SAS is a Leader in Gartner® Magic Quadrant™ for Decision Intelligence Platforms, 2026.
SAS ranks Top 3 in the Chartis RiskTech AI 50 and wins ‘Responsible AI Adoption’ and ‘Use of AI in Retail Banking’ categories.
SAS Viya was recognized in the 2026 G2 Best Software Awards.
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SAS artificial intelligence frequently asked questions
What AI solutions does SAS provide?
SAS provides AI solutions that combine agentic AI, generative AI, machine learning, advanced analytics, AI decisioning, industry-focused AI models and AI governance. These capabilities help organizations apply AI to complex business problems, make trusted decisions and scale AI across the enterprise.
What is composite AI from SAS?
Composite AI from SAS combines multiple AI and analytical techniques, including agentic AI, generative AI, machine learning, optimization and advanced analytics, to solve complex business problems. By orchestrating these approaches on a unified platform, SAS helps organizations apply the right techniques to support trusted decisions and domain-specific outcomes.
How does SAS combine AI, analytics and decisioning?
SAS combines AI techniques with advanced analytics, data and decisioning to help organizations move from insights to action. This approach enables AI systems to use analytical models, business rules and decision logic alongside technologies such as generative AI and agentic AI to address complex business and industry problems.
How does SAS support trustworthy AI?
SAS supports trustworthy AI with governance, transparency, explainability, data quality, model validation, bias detection and risk controls across the AI life cycle. These capabilities help organizations monitor AI systems, support responsible AI practices and make AI-driven decisions more accountable.
How does SAS help organizations scale AI across the enterprise?
SAS helps organizations scale AI with a unified platform that connects data, analytics, AI models, decisioning and governance. Open and interoperable capabilities enable organizations to work with SAS and third-party technologies while applying consistent governance and controls across AI initiatives.