SAS streamlines AI-driven decision automation for business workflows

SAS has launched SAS Decision Builder as a native workload on Microsoft Fabric, targeting organizations seeking to accelerate and automate complex decision-making across business domains such as financial services and customer service. SAS Decision Builder brings intelligent decision capabilities to Fabric, enabling customers to design, deploy, and monitor AI-powered decision workflows using a low-code interface integrated with Microsoft technologies like OneLake and Power BI. Business analysts and domain experts can build composite workflows by combining multiple AI models, machine learning, and large language models (LLMs) within the Fabric ecosystem. The solution offers deep integration with Azure AI Services, supporting predictive analytics and generative AI elements for running what-if scenarios and delivering actionable, personalized customer experiences. Typical use cases include real-time decision support in call centers, automated loan approvals for financial services, streamlined fraud detection for IT, and improved compliance through robust governance and tracking within the platform. SAS Decision Builder supports detailed visibility and control over business and data rules, fostering secure, reproducible analytics life cycles and faster, more actionable insights. Customers benefit from increased agility, higher security, and the ability to quickly adjust decisions to meet changing market demands, enabled by fully managed data and analytics within Microsoft Fabric. By integrating these capabilities, organizations can better protect themselves against fraud, reduce costly breaches, and maintain compliance with evolving regulations. Fabric’s unified environment allows users to work collaboratively across shared workspaces, speeding up time-to-value and boosting overall productivity for analysts, IT, and business users. This integration makes advanced analytics, decision flows, and AI-driven outcomes accessible to a wider group of end-users, democratizing decision automation in varied sectors.