SAS Introduces AI Agents with Enhanced Human-AI Interaction

May 7, 2025
SAS has unveiled new AI agents with customizable human-AI interaction, designed to enhance decision-making transparency, as announced in a press release. The SAS Viya platform supports these agents with built-in governance and explainability.

SAS has unveiled new AI agents with customizable human-AI interaction, designed to enhance decision-making transparency, announced in a press release. The SAS Viya platform supports these agents with built-in governance and explainability, allowing organizations to design, deploy, and scale AI agents with a balance of human and AI autonomy.

The agentic AI framework by SAS is structured around three main pillars: decisioning, human and AI balance, and governance. This framework combines deterministic analytics with large language models to ensure precise and reliable outcomes, while maintaining necessary business guardrails. Organizations can adjust the level of AI autonomy based on task complexity and risk, ensuring that AI agents operate autonomously in routine tasks while humans oversee strategic decisions.

SAS emphasizes the importance of governance in AI, providing a framework that ensures AI agents adhere to ethical standards, maintain data privacy, and align with business values. This approach is designed to meet regulatory scrutiny and enhance trust in AI systems. SAS Viya supports the entire lifecycle of AI agents, from data ingestion to deployment and monitoring, embedding auditability and compliance into every agent.

The announcement was made at SAS Innovate, highlighting SAS's commitment to responsible AI innovation and its role in advancing enterprise AI adoption.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.