"We are now at the point where automation, machine learning and agentic orchestration can genuinely work together. This is not theory. It is already happening in defense and civilian agencies that have moved past pilots and into production, using agents that bring context, consistency and speed to complex workflows while preserving accountability. These seven principles for an agentic government give leaders a practical framework for adopting automation and AI responsibly."
"1. Orchestration Over Silos Principle: Coordination is modernization. Agencies do not need more tools. They need the tools they have working together. Today, hundreds of bots and AI models run independently across government, creating duplication instead of progress. Agentic Government starts with orchestration: a single operational fabric that connects human work, automation, machine learning and oversight. It provides visibility, routing, exception handling and accountability."
Modernization added many tools but often failed to simplify workflows, producing isolated automations without shared data or aligned missions. Automation, machine learning, and agentic orchestration can now be combined to deliver context, consistency, and speed across complex government workflows while preserving accountability. Production deployments in defense and civilian agencies demonstrate measurable reductions in processing time when orchestration ties RPA, ML models, and human review together. Seven principles provide a practical framework for responsible adoption, starting with questions about coordination, workflow placement of AI, and the ability to explain digital decisions. Orchestration, not isolated models, drives scalable impact.
Read at Nextgov.com
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