5 Ways GovAI Supports AI Infrastructure

For governments worldwide, the promise of AI in government rests on more than algorithms. True transformation requires robust infrastructure like data pipelines, cloud environments, security frameworks, and governance mechanisms that ensure systems scale responsibly. Building this foundation is not easy, which is why gatherings like GovAI Summit play such a critical role.

As the premier government AI conference, GovAI is where leaders address both the technical and policy aspects of artificial intelligence for public sector adoption. The event brings together federal, state, and local agencies with innovators, academics, and industry partners to align on infrastructure needs.

Here are five ways GovAI helps agencies advance their AI infrastructure goals, while also providing practical lessons for real-world artificial intelligence government use cases.

1. Advancing Data Readiness for Public Sector AI

Data is the lifeblood of any AI system. Yet for many agencies, data silos, outdated formats, and incomplete records remain barriers to scaling AI. GovAI sessions focus on how agencies can unlock value by standardizing, sharing, and securing data.

For example, leaders exploring AI for public services need interoperable systems that allow benefits applications, case management, and eligibility assessments to function seamlessly. Without infrastructure-level planning, these efforts stall. By aligning data strategies, agencies can accelerate projects across domains like AI for healthcare policy and AI for transportation infrastructure.

At GovAI Summit, participants will find panels dedicated to data integration, interoperability, and open data frameworks—critical elements of building sustainable AI in the public sector.

For a deeper dive into aligning current AI with the American AI Action plan, see our previous article here.

2. Embedding Security and Resilience

Another core component of AI infrastructure is resilience against threats. From cyberattacks to system failures, public sector AI must meet far higher security standards than most private-sector applications. GovAI highlights strategies for embedding resilience into systems before deployment.

In practice, this means applying AI red teaming to stress-test algorithms and uncover vulnerabilities. It also involves deploying robust AI for cybersecurity tools that monitor networks for anomalies and adapt to evolving threats.

National security use cases, such as AI for defense and intelligence, require even stricter safeguards. By learning from real-world exercises and pilot programs, agencies can strengthen both mission-critical and civilian-facing systems.

Sessions at GovAI will cover how to incorporate AI risk management frameworks into infrastructure planning. These conversations build on themes from our article on Lessons from the Front Lines of Government AIwhere security and trust emerged as top priorities.

3. Strengthening Governance and Compliance

Infrastructure is not only technical—it is also regulatory. The most advanced system is useless if it does not comply with policy or earn public trust. That’s why AI governance in the public sector is central to GovAI discussions.

The American AI Action Plan calls for rigorous governance frameworks, transparency requirements, and accountability mechanisms. GovAI provides a venue for agencies to explore how these directives translate into practice, particularly in the context of large-scale deployments like AI for smart cities or AI for government operations.

Strong governance also reinforces responsible AI in government and ethical AI in government commitments. Agencies that embed fairness, transparency, and accountability into infrastructure design are better positioned to succeed with public adoption.

For more on how governance intersects with strategy, revisit our blog on Aligning with the American AI Action Plan

4. Preparing for Generative AI in Government

Generative systems add a new layer of complexity to infrastructure planning. Deploying generative AI in government requires both technical and policy safeguards, from data filtering to access controls. Agencies must anticipate risks of misinformation, bias, and data leakage before scaling these tools.

GovAI addresses these challenges head-on. Sessions will showcase how leaders are testing large language models in controlled environments, applying red teaming, and setting guardrails for public-facing applications.

For example, in AI for citizen engagement, generative models can answer questions or summarize policy documents. But without robust infrastructure—secure APIs, logging systems, and monitoring tools—outputs may drift in unsafe directions. The same applies in back-office contexts, where AI-powered decision-making tools must produce reliable and auditable results.

The GovAI Summit Agenda includes workshops on preparing for generative AI adoption in the public sector. For additional context, see our article on Red Teaming in Public Sector AI which explores evaluation methods for these systems.

5. Driving Collaboration Across Agencies and Partners

Finally, infrastructure is not built in isolation. Agencies succeed when they collaborate—sharing resources, lessons, and innovations. GovAI is designed as a public sector AI summit where these connections flourish.

From cross-agency data-sharing to joint AI for defense and national security projects, collaboration accelerates progress and reduces duplication. By bringing together policymakers, technologists, and civil society, GovAI functions as both a digital government conference and an AI policy event.

This collaborative approach is especially critical in emerging fields like AI for public safety and AI for transportation infrastructure, where agencies often face similar challenges but pursue them independently. GovAI breaks down silos and fosters collective problem-solving.

For agencies looking to connect with peers, GovAI is more than just another entry on the calendar of government technology events—it is the nexus where strategy and infrastructure converge.

Looking Ahead

The future of AI in the public sector depends on strong infrastructure. From data readiness and resilience to governance, generative AI, and collaboration, these foundations will determine whether projects succeed or fail.

GovAI provides a platform to align on these priorities, ensuring that agencies build systems capable of scaling responsibly. For leaders tasked with delivering on national digital strategies, it is an essential gathering.

Take Action

If your agency is planning or scaling artificial intelligence government use cases, don’t miss the chance to engage with peers and innovators at GovAI. Review GovAI Summit's Agenda and register today.