Compliance Standards

As artificial intelligence (AI) becomes increasingly embedded in government operations, cities across the U.S. face a critical challenge: ensuring these systems remain fair, safe, transparent, and trustworthy. The City of San José, California, one of the country’s leading technology hubs, has emerged as an early model for responsible public-sector AI. San José is one of the first municipalities to formally evaluate its AI programs using the NIST AI Risk Management Framework (AI RMF). Through a collaboration with the National Institute of Standards and Technology, the city applied the AI RMF to assess its AI governance maturity, identify risks, and strengthen safeguards across all AI-related activities.

This NIST AI RMF case study reveals not only what San José is doing well, but also where public-sector organizations must continue improving to deploy trustworthy, risk-aware AI systems.

Generative Artificial Intelligence offers organizations across industries significant productivity and efficiency gains, but it also introduces new risks. The NIST AI RMF (AI Risk Management Framework) provides a structured approach to identify, assess, and mitigate these risks while maximizing the benefits of generative AI.
Is your organization prepared for secure and compliant AI adoption? Schedule a consultation today to ensure your AI initiatives are safe, responsible, and aligned with industry standards.

Organizations embracing artificial intelligence (AI) to streamline operations must also prepare for the unique risks it. The NIST AI Risk Management Framework (AI RMF) provides a structured, trustworthy approach to identifying, evaluating, and mitigating these risks across the AI lifecycle. Implementing this framework helps internal teams establish clear governance and gives external stakeholders confidence in your organization’s responsible AI practices.

Is your organization ready to align with the NIST AI Risk Management Framework? Schedule a consultation to get started.