TL;DR — Key Takeaways
– SAS has launched AI Navigator, a SaaS platform designed to give enterprises a centralized inventory of AI systems, including agents, LLMs, open-source models and SAS models.
– The platform organizes governance around business use cases while linking those applications to the models, agents, policies and regulatory frameworks behind them.
– AI Navigator is intended to help enterprises address AI sprawl by tracking deployments from testing through production and retirement.
SAS has launched AI Navigator, a SaaS platform built to give enterprises a central record of the AI systems operating across their organizations and help compliance teams govern them.
AI Navigator tracks a broad mix of technology, including AI agents, LLMs, open-source models and SAS models. The platform is intended for AI, data, compliance and risk teams that need to understand where AI is being used and what rules apply to each deployment. SAS is offering customers free access for six months.
The product addresses a problem that has grown along with enterprise AI use. Companies may deploy models and AI services across many departments without maintaining a complete inventory. That makes it harder for compliance teams to determine whether each system meets regulatory requirements.
Governance is organized around business use cases, with the underlying models and agents connected to those applications.
That approach matters as companies move beyond isolated AI experiments. A customer service chatbot, for example, may depend on a third-party model or agent like Claude or Microsoft Copilot. AI Navigator enables a company to govern the business application while also tracking the technology that powers it and applying company policies.
The challenge is that enterprise AI adoption often moves faster than the controls surrounding it, resulting in ungoverned AI sprawl. As companies add more agents and third-party services, simply knowing what is in use becomes a governance job of its own. AI Navigator is SAS’s attempt to make that inventory the foundation for managing AI risk.
From Testing Through Retirement
As SAS describes it, the platform follows AI deployments from testing through production and eventual retirement, covering internally developed technology as well as products purchased from outside vendors. It can also connect AI use cases with internal policies and external frameworks.
The business case for governance extends beyond regulatory compliance. SAS points to its 2026 Data and AI Impact Report, based on research with IDC, which found that organizations effective at managing AI trust are 15 times more likely to report strong returns from the technology. The research also found that workers may reject AI recommendations when they can’t understand or explain the reasoning behind them.
For organizations without mature governance programs, SAS partners Protiviti and Asenion provide policy packs containing compliance questions and risk classifications. The goal is to give companies a starting point for evaluating AI projects rather than requiring governance teams to build every policy process themselves.
AI Navigator is available as a standalone product to both existing and new SAS customers. Its availability through Microsoft Marketplace extends the companies’ existing relationship and supports governance of AI running across environments that include Microsoft Azure.
