AI agents from SAS enable customizable, transparent decision-making

SAS’s newly unveiled agentic AI framework for SAS Viya aims to transform how organizations implement autonomous AI systems by embedding governance, human oversight, and explainability into the decision-making process. As businesses race toward deploying AI systems that can operate with minimal human intervention, SAS has positioned its platform as a solution that balances autonomy with accountability, transforming experimental AI agents into practical business tools that can be safely deployed even in highly regulated industries.

The big picture: SAS is building its agentic AI capabilities on the SAS Viya platform through SAS Intelligent Decisioning, creating a framework that combines governance, flexible autonomy levels, and explicit decision-making processes.

Key features: SAS’s agentic AI framework is built around three fundamental pillars that address the main challenges organizations face when implementing autonomous AI systems.

• The decisioning pillar combines deterministic analytics with large language model flexibility, providing precise outcomes with necessary business guardrails for regulated industries.
• The human-AI balance feature allows organizations to calibrate appropriate levels of AI autonomy, enabling AI agents to handle routine tasks while preserving human oversight for ethical judgment and strategic decisions.
• The governance framework ensures AI agents maintain accuracy, adhere to ethical standards, protect data privacy, align with business values, and satisfy regulatory requirements.

Why this matters: As AI systems evolve toward greater autonomy, organizations need frameworks that can transform experimental AI agents into trustworthy decision-makers that maintain appropriate human oversight and accountability.

• SAS’s approach emphasizes turning AI agents “from a science experiment to a business differentiator” through governance and explainable decision-making.
• The framework specifically addresses the needs of regulated industries where transparency and governance are mandatory requirements for AI implementation.

The bottom line: SAS Viya’s agentic AI framework represents a significant step toward making autonomous AI systems viable for mainstream business applications by embedding the governance, decision-making logic, and human oversight capabilities that organizations require to deploy AI agents responsibly.