Preparing Infrastructure for the Next Phase of Agentic AI
Agentic AI is changing government infrastructure requirements, pushing agencies to rethink workflows, observability, data movement and resource prioritization before investing in new hardware.
As agencies prepare for the next phase of AI, shifting from regular AI capabilities to agentic AI, they must also adapt their infrastructure to accommodate the new requirements. Unlike traditional AI, agentic AI can coordinate multiple specialized agents to carry out complex, multistep workflows, which necessitates not only the computation required to run AI models but also the orchestration between agents, data movement across environments, and the points where human judgment is still required.
To navigate these changes, agencies should focus on the workflow itself rather than the newest technology, mapping both the workflow and data flow to understand where each agent will perform its work, what information it needs, and where human review is required. This approach helps agencies identify where agentic AI can provide value and optimize their infrastructure accordingly, avoiding the introduction of bottlenecks when multiple agents must coordinate across distributed environments.
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