SAS Institute has introduced a new wave of industry-focused AI solutions, further strengthening its position in enterprise analytics. As part of this expansion, the company has launched the SAS Supply Chain Agent, which is currently available in private preview for select customers. Notably, this release aligns with SAS’s broader USD $1 billion investment strategy aimed at delivering tailored AI solutions across industries such as manufacturing, retail, government, and financial services.
At the core of this announcement is the supply chain agent, which significantly enhances supply and operations planning. Traditionally, organizations have relied on manual processes—often spread across departments using spreadsheets—that take days to complete and are executed only once a month. However, SAS is changing this dynamic. The new AI-powered agent operates continuously, enabling users to simulate different scenarios, analyze potential outcomes, and monitor operations in near real-time through an intuitive chat-based interface. As a result, businesses can respond more quickly to market changes and operational disruptions.
According to Kathy Lange, Research Director at IDC‘s AI, Data, and Automation Software Practise, the innovation stands out for tackling complex operational challenges. “Current pre-packaged agents tend to tackle basic processes; with Supply Chain Agent, SAS is compressing a very complex process, which could deliver significant value,” Lange said. “This offering positions SAS to bring its longstanding supply chain knowledge to a new generation of agentic AI solutions.”
In addition to supply chain advancements, SAS is also leveraging digital twin technology. By using Unreal Engine from Epic Games, the company creates virtual replicas of industrial environments. These simulations allow organizations to test operational scenarios and identify inefficiencies. For instance, a medical device sterilisation provider discovered that a perceived bottleneck was actually functioning as a distribution point, leading to improved production efficiency after adjustments were made.
Furthermore, SAS is integrating synthetic data and computer vision into workplace safety solutions. Its Worker Safety platform enables companies to generate simulated video scenarios—such as accidents or safety violations—without using real employee data. Consequently, organizations can train AI models more effectively while maintaining privacy and improving safety outcomes.
Meanwhile, in the public sector, SAS continues to support government initiatives. Several U.S. states, including Nevada, are using its Payment Integrity for Food Assistance solution to improve accuracy in Supplemental Nutrition Assistance Program payments. This tool helps identify discrepancies and prioritize critical cases, thereby reducing financial penalties and ensuring eligible families receive proper benefits.
On the financial front, SAS is addressing the growing threat of fraud. Research conducted with the Association of Certified Fraud Examiners reveals that 75% of professionals report an increase in fraud and scams, while 55% anticipate a rise in AI-driven fraud techniques. Alarmingly, only 7% feel adequately prepared. To combat this, SAS is offering advanced fraud detection models capable of analyzing transactions in real time across multiple channels.
Manisha Khanna, Global Market Strategy Lead, Applied AI at SAS, emphasized the company’s approach to solving real-world challenges. “When organisations are left stitching together ad-hoc AI frameworks and experiments, they often fail to achieve the competitive edge they’re looking for when they invest in AI,” Khanna said. “We’re engineering industry accelerators with purpose: to solve defined, real industry problems in highly regulated environments.
“With production-ready agents and models that work on data they already have, our customers across industries can and are achieving extraordinary outcomes.”
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