Workflows Are Over. AI Agencies Are Here. | by Marc Puig | Sep, 2025

Traditional workflow automation with rigid trigger-and-step chains is being replaced by goal-driven AI agencies that reason about objectives and adapt dynamically when conditions change, shifting the engineering burden from maintaining brittle diagrams to building well-documented tools and protocols. AI agencies operate on three technical layers—reasoning runtimes (frameworks like AutoGen), protocol substrates for agent communication (MCP, A2A), and durable infrastructure (Kubernetes, Temporal)—while requiring observable evaluation mechanisms and reusable component libraries to function reliably in enterprise environments.

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