AI Governance Frameworks
HUX AI is an AI governance platform that helps design, scale and manage AI safely, effectively, ethically and legally.
Manage and streamline your AI assets with a centralized inventory system—track AI usage, development, and compliance while setting internal policies for effective governance.
Gain full visibility into AI risks, proactively mitigate challenges, and ensure ongoing compliance with transparent and ethical governance strategies.
Stay updated on AI regulations, audit usage, maintain documentation, and track upcoming changes
Understand and Monitor Your AI Ecosystem
Gain a comprehensive view of all AI initiatives across your organization. Catalog AI projects, assess their revenue potential, and identify key risks to prioritize efforts effectively. Utilize a centralized AI risk dashboard to visualize risks and business impact, ensuring informed decision-making.
For third-party AI solutions, apply governance frameworks to evaluate supplier compliance and manage external risks proactively. Collect and exchange compliance evidence effortlessly to assess both internal and third-party AI systems.
Apply Structured AI Governance for Compliance and Value Creation
Implement a policy-driven approach to AI governance that ensures compliance with regulations while maximizing return on investment. Standardize AI governance by leveraging modular policy frameworks, selecting pre-built compliance packages, or customizing policies to align with business objectives.
Bridge the gap between policy and execution by integrating governance frameworks with MLOps tools. Submit AI performance, fairness, robustness, and explainability assessments to ensure your AI meets industry standards.
Enhance Transparency and Accountability
Automate AI governance reporting to maintain transparency with key stakeholders, including executives, regulators, and customers. Generate in-depth compliance reports, impact assessments, and dashboards to communicate AI performance, risks, and ethical considerations effectively.
Track AI governance metrics, securely store documentation, and ensure continuous monitoring of AI projects. By streamlining AI oversight and risk management, organizations can build trust while driving innovation responsibly.