SAS Debuts Custom AI Models for Business Bottlenecks

SAS has launched a new selection of AI models, representing the latest phase of its $1 billion investment in industry solutions. These models are designed to address specific, labor- and time-intensive processes, enhancing productivity and value generation. The packaged models are available either ready-to-go or intended to be tailored, accelerating model training on customer data and integrating with existing systems across organizations of all sizes.
Inspired by SAS' Data Ethics Practice guidelines, customers can create models that deliver understandable and explainable results. These models aim to boost productivity and return on investment while adhering to high standards of responsible innovation. The models currently available include:
- Cross-Industry: AI-Driven Entity Resolution, Document Analysis
- Health Care: Medication Adherence Risk
- Manufacturing: Strategic Supply Chain Optimization
- Public Sector: Payment Integrity for Food Assistance, Tax Compliance for Sales Tax
Kathy Lange, Research Director at IDC, noted that SAS Models leverage SAS’s core assets, talent, and intellectual property, making them a suitable option for those seeking to accelerate time to production without in-house expertise.
SAS is also developing new models to be launched in 2025, which will include:
- Banking: Fraud Decisioning for Payments and Card Models
- Health Care: Payment Integrity for Health Care
- Manufacturing: Worker Safety Monitoring
- Public Sector: Tax Compliance for Individual Income Tax
SAS is also working on agentic counterparts to its models to bring more autonomy to industry-specific offerings. A pre-built AI agent will automate complex data preparation tasks, helping models run in real-time without manual data restructuring. This addresses the challenge of data scientists spending weeks or months creating and fine-tuning data lakes.
Udo Sglavo, VP of Applied AI and Modeling, R&D at SAS, stated that the future of AI lies in responsible, ready-to-use, and relevant agents. The new industry-specific models represent a step toward agentic AI, delivering real-world impact.
The announcement was made at SAS Innovate, the data and AI experience supported by partner sponsors, including Microsoft, Intel, and AWS.