In the fast-paced world of AI development, balancing innovation with responsibility is crucial. Machine learning and generative AI hold immense potential to enhance productivity, eliminate errors, and improve the quality of outputs. However, alongside these benefits come risks that need to be carefully managed. This is where AI governance becomes an essential design principle for any organization looking to deploy responsible AI systems.
At Nextria, we recognize the importance of aligning AI systems with ethical standards, transparency, and regulatory compliance from day one. To support AI development teams, we’ve created the Nextria AI Governance Toolkit. This toolkit is designed to simplify and accelerate responsible AI deployment by addressing key governance requirements outlined in the National Institute of Standards and Technology (NIST) AI Risk Management Framework. The framework consists of 75 guidelines, and our toolkit directly addresses 60% (44/75) of those, giving teams a practical, ready-to-use approach to governance.
The Nextria AI Governance Toolkit includes several key components:
The toolkit is anchored by the Nextria SMART System, which breaks AI development into five key phases: Setup, Monitoring, Assessment, Release, and Tuning. This structure allows teams to ensure that governance and compliance are embedded into each step of the AI model lifecycle.
Governance should not be an afterthought. Whether you're just starting to build AI systems or refining existing ones, the Nextria AI Governance Toolkit gives you the tools to do it responsibly. By addressing 44 of the NIST framework’s 75 guidelines, this toolkit empowers your team to deploy AI systems that are not only innovative but also trustworthy and compliant with the highest standards.
Ready to take the next step?
Download our whitepaper here and explore how the Nextria AI Governance Toolkit can help your organization build responsible, future-ready AI systems.