SAS has launched SAS AI Navigator, a new software-as-a-service platform designed to help organisations track and govern their use of artificial intelligence, as businesses continue to adopt AI tools with limited oversight.
Announced at SAS Innovate in Dallas, the platform gives companies visibility into their full AI inventory and organises systems around specific business use cases—from marketing campaigns to internal operations – while aligning them with policies and regulations.
“It provides visibility into the AI inventory throughout an enterprise and orients around the use case,” said Reggie Townsend, vice president of AI ethics, governance and social impact at SAS. “It helps us know how we’re doing – and that extends to the systems, the models, the agents that power those use cases, as well as the policies associated with them.”
For marketing teams, which increasingly rely on AI for personalisation, content generation and customer engagement, the platform could offer clearer oversight of how those tools are used and governed.
“The use case is really the primary entity in AI Navigator,” said Kristi Boyd, senior trustworthy AI specialist at SAS.
“It represents the specific business implementation of AI. Everything from policies and approvals to risk assessments tied to those use cases.”
While the announcement is broadly focused on enterprise AI, its implications are especially significant for marketing departments, which have become some of the heaviest users of AI tools.
By connecting to a wide range of models and agents, SAS AI Navigator would allow marketing teams to bring those fragmented tools under a single layer of oversight.
For example, a company using AI chatbots for customer engagement could monitor not just the underlying model, but also whether its outputs comply with brand standards, privacy rules and industry regulations.
The platform also builds on capabilities within SAS Viya, SAS’s broader AI and analytics ecosystem, which is already used by many organisations to power marketing analytics and decision-making. Together, the tools could give marketing leaders more confidence to scale AI-driven campaigns while maintaining transparency and control.
That balance is becoming critical. As AI-generated content and automated decisioning become more central to marketing strategy, teams face increasing scrutiny over data usage, bias and compliance—particularly in regulated industries.
In that context, governance tools like SAS AI Navigator could shift how marketing teams operate. Instead of slowing down AI adoption, structured oversight may enable faster experimentation by clearly defining what is allowed, what is monitored and what is accountable.
