AI Navigator
SAS AI Navigator is a lightweight SaaS platform, announced at SAS Innovate 2026 and available in Q3 2026 on Microsoft Azure Marketplace, designed to help enterprises discover, catalog, and govern the growing sprawl of AI models, agents, and large language model use cases.
Publisher review
SAS AI Navigator is a lightweight SaaS platform, announced at SAS Innovate 2026 and available in Q3 2026 on Microsoft Azure Marketplace, designed to help enterprises discover, catalog, and govern the growing sprawl of AI models, agents, and large language model use cases. It is built for AI, data, compliance, and risk leaders who need to compile a complete AI inventory and align AI use cases with government regulations and internal policies, without requiring coding expertise. The platform addresses the critical problem of shadow AI, which Gartner predicts will cause security or compliance incidents in over 40% of enterprises by 2030, according to the press release. It provides a unified, enterprise-wide view of AI assets for governance and audit readiness, centralizing information about AI models, agents, and use cases whether developed internally or sourced externally, and documents internal policies and external regulations to help organizations manage AI responsibly and transparently.
SAS AI Navigator works by starting with the business use case, linking AI systems to ownership, intent, policies, and accountability, and then extending governance to the models and agents that power those use cases, as well as the policies applied to them. It offers a centralized dashboard with alerts for governance gaps and priority risks, and enables step-by-step AI policy assessments and governed submit-and-approve workflows. The platform supports the full journey from experimentation to deployment through retirement, providing a unified view of all governed assets whether built in-house or purchased from third parties. It acts as a centralized visibility and oversight layer that works with existing AI ecosystems, accepting any model or agent, including LLMs, AI agents, and open source or SAS models, without requiring organizations to change how they build AI. For instance, companies using chatbots to interact with customers can govern the underlying agent or model, such as Claude or Microsoft Copilot, and apply policies to ensure regulatory adherence.
SAS AI Navigator enters a market where traditional business intelligence and analytics platforms like Tableau, Microsoft Power BI, and Qlik Sense are often used for AI asset tracking but lack dedicated governance workflows. While Tableau excels at data visualization and Power BI at embedded analytics, neither provides the AI-specific policy assessment, submit-and-approve workflows, or use-case-to-model linkage that SAS AI Navigator offers. Qlik Sense provides associative data modeling but similarly lacks AI governance capabilities. SAS AI Navigator differentiates by focusing exclusively on AI governance, offering a system of record for AI assets that documents internal policies and external regulations, and delivers at-a-glance oversight for practitioners, risk teams, and executive leadership without requiring coding expertise. It builds on SAS's 50-year legacy in regulated industries and its Chartis RiskTech Quadrant leadership in AI governance solutions.
The honest trade-offs with SAS AI Navigator include its SaaS-only delivery, which may not suit organizations with strict on-premises requirements or those in air-gapped environments. It is a new product announced in 2026, so it lacks the mature ecosystem, third-party integrations, and community support of established platforms like Tableau or Power BI. The platform's focus on governance and compliance means it does not provide native AI model development or training capabilities, requiring users to bring their own models and tools. Additionally, pricing is not specified in the sources, which may create uncertainty for budget planning, and the product's lightweight nature may mean it lacks deep analytics or visualization features that some enterprises expect from a SAS offering.
How it works
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Unified AI asset inventory
Centralizes information about AI models, agents, and use cases from internal and external sources into one system of record.
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Policy and regulation documentation
Documents internal policies and external regulations, enabling step-by-step AI policy assessments and governed submit-and-approve workflows.
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Governance gap alerts
Offers a centralized dashboard with alerts for governance gaps and priority risks, providing at-a-glance oversight for leadership.
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Full lifecycle support
Supports the full journey from experimentation to deployment through retirement, with a unified view of all governed assets.
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Use-case-driven governance
Starts with the business use case, linking AI systems to ownership, intent, policies, and accountability for structured oversight.
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Third-party model integration
Accepts any model or agent, including LLMs, AI agents, and open source or SAS models, without requiring changes to existing AI builds.
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No-code oversight interface
Delivers at-a-glance oversight for practitioners, risk teams, and executive leadership without requiring coding expertise.
Strengths and trade-offs
Strengths
- Enhances AI visibility and reduces shadow AI by providing a unified, enterprise-wide view of all AI assets for governance and audit readiness.
- Centralizes information about AI models, agents, and use cases whether developed internally or sourced externally, documenting internal policies and external regulations.
- Offers a centralized dashboard with alerts for governance gaps and priority risks, enabling proactive risk management without requiring coding expertise.
- Supports the full journey from experimentation to deployment through retirement, providing a unified view of all governed assets whether built in-house or purchased from third parties.
Trade-offs
- SaaS-only delivery may not suit organizations with strict on-premises requirements or those in air-gapped environments.
- As a new product announced in 2026, it lacks the mature ecosystem, third-party integrations, and community support of established platforms like Tableau or Power BI.
- Does not provide native AI model development or training capabilities, requiring users to bring their own models and tools for those functions.
- Pricing is not specified in the sources, creating uncertainty for budget planning and making it difficult to compare total cost of ownership with alternatives.
Pricing context
Not specified in the sources.
Getting started with AI Navigator
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Sign up for AI Navigator
Go to the Microsoft Azure Marketplace and search for SAS AI Navigator. Click the Get Started button, then complete the registration form with your work email and organization details to create your SaaS tenant.
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Connect your AI ecosystem
In the AI Navigator dashboard, navigate to the Integrations section. Add connections to your existing AI model repositories, agent platforms, and LLM providers by entering their API endpoints and authentication credentials.
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Define governance policies
Go to the Policies tab and click Add Policy. Enter your internal AI governance rules and select relevant external regulations from the provided list. Assign policies to specific use cases or models to enable automated compliance checks.
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Catalog your AI assets
In the Assets section, click Add Asset and choose whether to import models, agents, or use cases. Fill in the required fields such as name, owner, and source, then link each asset to the appropriate policy and business use case.
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Review governance alerts
Open the Dashboard to view the centralized overview. Check the Alerts panel for any governance gaps or priority risks flagged by the system. Click on an alert to see details and take corrective actions, such as updating policies or reassigning ownership.
Frequently Asked Questions
What is SAS AI Navigator and what does it do?
SAS AI Navigator is a lightweight SaaS platform announced at SAS Innovate 2026 for discovering, cataloging, and governing AI models, agents, and LLM use cases. It helps enterprises compile a complete AI inventory and align with regulations without coding expertise.
How does SAS AI Navigator help with shadow AI?
SAS AI Navigator addresses shadow AI by providing a unified enterprise-wide view of all AI assets, whether built internally or sourced externally. It centralizes information about models, agents, and use cases, helping organizations manage risks and comply with policies proactively.
What are the key features of SAS AI Navigator?
Key features include a unified AI asset inventory, policy and regulation documentation, governance gap alerts with a centralized dashboard, full lifecycle support from experimentation to retirement, use-case-driven governance, third-party model integration, and a no-code oversight interface.
How does SAS AI Navigator compare to Tableau or Power BI?
Unlike Tableau and Power BI, which focus on data visualization and embedded analytics, SAS AI Navigator offers dedicated AI governance workflows like policy assessments, submit-and-approve processes, and use-case-to-model linkage. It provides a system of record for AI assets without requiring coding.
What are the limitations of SAS AI Navigator?
SAS AI Navigator is SaaS-only, unsuitable for on-premises or air-gapped environments. As a new 2026 product, it lacks mature integrations and community support. It does not offer native AI model development or training, and pricing remains unspecified, creating budget uncertainty.
When will SAS AI Navigator be available and where?
SAS AI Navigator was announced at SAS Innovate 2026 and will be available in Q3 2026 on the Microsoft Azure Marketplace. It is designed for AI, data, compliance, and risk leaders to govern AI assets without coding expertise.
Alternatives
- ZoomInfo Sales ↗
- Apollo.io ↗
- Clearbit ↗
How AI Navigator compares
Direct head-to-head against 3 competitors. Picked by 7wData.
AI Navigator
- Pricing
- Not specified in the sources.
- Target
- SAS AI Navigator is a lightweight SaaS platform, announced at SAS Innovate 2026 and available in Q3 2026 on Microsoft Azure Marketplace, designed to help
- Strength
- Enhances AI visibility and reduces shadow AI by providing a unified, enterprise-wide view of all AI assets for governance and audit readiness.
- Watch for
- SaaS-only delivery may not suit organizations with strict on-premises requirements or those in air-gapped environments.
ZoomInfo Sales
- Pricing
- $995/year per user
- Target
- Enterprise sales teams needing large contact database
- Deployment
- Cloud, browser extension
- Strength
- Largest B2B contact database with 321M contacts
- Watch for
- High cost and data quality complaints on stale contacts
Apollo.io
- Pricing
- $59/user/month (free plan available)
- Target
- SMBs and mid-market seeking all-in-one prospecting
- Deployment
- Cloud, Chrome extension
- Strength
- All-in-one platform with built-in outreach and sequencing
- Watch for
- Data accuracy issues and limited CRM integrations on lower tiers
Clearbit
- Pricing
- $99/month (free tier available)
- Target
- Companies needing real-time data enrichment
- Deployment
- Cloud, API
- Strength
- Real-time data enrichment and company intelligence
- Watch for
- Smaller database (50M companies) compared to enterprise alternatives
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Sources
Reporting on this tool draws on these publicly available sources.