White Paper: Building the Data Foundation for AI at Scale and the Future of Agentic AI in Government

Federal agencies are entering a decisive phase in their adoption of artificial intelligence. The early wave of experimentation, characterized by pilots, proofs of concept, and limited deployments, has largely validated the potential of AI. The challenge now is fundamentally different. Agencies must determine how to scale these capabilities across complex, mission-critical environments while maintaining trust, security, and operational integrity.

What emerged from this roundtable is a clear consensus: the primary barrier to scaling AI is not the technology itself. It is the condition, accessibility, and governance of data. Agencies are not struggling to access models or tools; they are struggling to ensure that the data feeding those systems is reliable, shareable, and fit for purpose.