The White House AI Action Plan outlines new expectations for public sector teams. In this post, C1Gov provides a clear breakdown of the mandates, explains what’s at stake, and offers tactical guidance to help agencies move from policy to implementation.
Nearly 95% of AI projects fail to reach production, costing organizations billions and wasting years of effort. In the public sector, most failures stem not from algorithms or ambition—but from unseen issues within data infrastructure, governance, and visibility. This guide shows how to evaluate and strengthen your agency’s data readiness before launching any AI initiative.
As AI accelerates across government, most focus on the models—but the real power lies in the data behind them. In the first post of the C1Gov CEO Series, CEO Jason Friend explains why effective data lifecycle management is the ultimate mission multiplier for trustworthy, scalable AI in the public sector.
Meeting AI governance mandates like OMB M‑24‑10 and M‑25‑22 requires more than awareness—it requires action. This blog post offers are 2–3 tactical steps for each of the 10 biggest challenges federal agencies face when building secure, compliant, and auditable AI systems at scale.
Federal agencies face unprecedented pressure to integrate AI at scale while meeting federal mandates. This post outlines the top 10 challenges—rooted in governance, data visibility, procurement, and risk—and explains why these mandates are so difficult to meet across public sector environments.
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The 2025 National Defense Authorization Act (NDAA), signed into law on December 23, 2024, represents a critical milestone in the U.S. defense strategy. This blog explores the act’s key provisions and their implications for compliance and operations in the coming years.
C1 Gov President & CEO Jason Friend explores how federal agencies are revolutionizing citizen services through modern CX strategies. Learn how the integration of journey mapping, AI-powered solutions, and human-centered design is transforming government services, creating more efficient and responsive interactions between citizens and federal agencies.
Integrating artificial intelligence into government services can significantly enhance operational efficiency, improve public engagement, and streamline administrative processes.