Guide

Agentic Orchestration for Scalable, Efficient AI

The Execution Layer for Policy-Aligned Government Automation

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Modernize AI in Government Without Starting Over

Federal agencies are under pressure to adopt AI quickly, but isolated pilots and disconnected tools won’t cut it. The 2025 AI Executive Orders (EO 14179, M-25-21, M-25-22) emphasize rapid AI adoption, vendor lock-in prevention, and agile alignment with evolving policies. That’s not just a tech problem, it’s an orchestration problem.

This guide introduces a proven execution layer built on open standards, including BPMN and DMN. It shows how public sector teams can operationalize AI at scale without ripping and replacing what already works. 

You’ll see how to:

  • Align AI-powered automation with federal policy and oversight requirements
  • Embed human decisions, legacy systems, and AI agents into a single executable process
  • Avoid vendor lock-in with a platform-neutral orchestration layer
  • Shift from brittle, static automation to agentic, adaptive process orchestration