SAS unveils AI agents with customisable human-AI interaction

SAS Intelligent Decisioning, available on data and AI platform SAS Viya, empowers organisations to design, deploy and scale AI agents with balanced human and AI autonomy, embedded governance and explainability of decisions.

“SAS' approach to agentic AI strikes the critical balance between autonomous decision-making and ethical governance,” said Nick Patience, VP and Practice Lead, Artificial Intelligence Software and Tools at The Futurum Group. 

“Its intelligent agents represent not just technological advancement but a pragmatic framework for responsible enterprise AI adoption – precisely what organisations need as they navigate this rapidly evolving landscape to gain a competitive advantage.”

According to SAS, true enterprise value from agentic AI comes from building collaborative, intelligence-amplifying systems that work with humans. SAS Viya’s agentic AI framework is underpinned by three pillars that define how AI agents are designed and delivered:

Decisioning

Applying a hybrid approach that combines the rigor of powerful deterministic analytics with the flexibility and reasoning of large language models (LLMs) enables customers to build AI agents that deliver precise and reliable outcomes, with the necessary business guardrails and rules required in regulated industries.

Human and AI balance

SAS enables organisations to determine the appropriate level of AI autonomy and human involvement for AI agents based on task complexity, risk, and business goals. AI agents can operate fully autonomously in routine, data-driven tasks while humans provide oversight, ethical judgment, and strategic direction.

Governance

SAS’ built-in governance framework enables customers to build AI agents that not only deliver accurate outcomes but also adhere to ethical standards, maintain data privacy, align with business values and stand up to regulatory scrutiny.

“As organisations evolve toward open, interoperable AI ecosystems across multicloud and hybrid environments, trust and explainability in AI governance are emerging as key differentiators among tech vendors,” said Tiffany McCormick, Research Director, Digital Business Models and Monetization at IDC. 

“SAS is taking industry-leading steps to address the growing demand for agentic AI, with a clear commitment to ethical rigour and differentiated execution in AI decisioning.”

SAS Viya supports organisations through every stage of the agentic AI journey, from data ingestion and analysis to building, deploying and monitoring AI agents. It enables continuous performance tracking, governance and security, offering a comprehensive and streamlined approach to managing AI agents throughout their lifecycle. And SAS brings decades of trusted governance to the table, embedding auditability, bias detection and compliance into every agent. 

The company's future agentic AI roadmap includes infusing co-pilot productivity assistants into SAS Viya to help users work faster, smarter and with fewer manual steps, while staying grounded in enterprise logic. Leaning into its deep industry expertise, SAS also plans to deliver pre-packaged, domain-specific intelligent agents that will integrate seamlessly into industry workflows (e.g., data engineering tasks, optimising supply chains), helping organisations accelerate time-to-value without sacrificing control or confidence.

“SAS Viya builds agents that don’t just act – they decide with purpose, guided by analytics, business rules and adaptability and grounded by decades of SAS’ trusted governance,” said Marinela Profi, Global AI Market Strategy Lead at SAS. 

“SAS’ unified, governed, decision-first framework turns AI agents from a science experiment to a business differentiator.”

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