A Better Newspaper

## Overview Process orchestration has emerged as a defining challenge of the "agentic era" of enterprise AI — not because the underlying models are inadequate, but because most enterprises lack the organizational and technical scaffolding to deploy AI agents reliably (SiliconANGLE, April 28). ## Key Themes - The enterprise software stack is being "reimagined for an agentic world," with winning companies expected to be those that build the right controls around AI agents rather than simply the most capable models (SiliconANGLE, April 28). - Effective orchestration requires combining process orchestration with governance and context management to prevent AI agents from operating without adequate guardrails (SiliconANGLE, April 28). - This theme was highlighted at Appian World 2026, where Appian announced MCP protocol adoption and a Snowflake partnership aimed at giving AI agents more "structure and control" (SiliconANGLE, April 28). ## Why It Matters This represents a broader industry narrative — the shift from AI model selection to platform/control-plane competition — that is recurring across multiple vendors (Appian, Qlik, ServiceNow, ClickUp-style platforms, ArcaCyber/AWS agent registries, etc.). It connects directly to the "Enterprise AI Control Plane" emerging infrastructure category and reflects a maturing market where governance, orchestration, and reliability are becoming the primary competitive battlegrounds rather than raw model capability. ## Related Developments - Appian's MCP protocol adoption and Snowflake partnership exemplify this shift toward structured control for AI agents (SiliconANGLE, April 28). - The Model Context Protocol (MCP) is becoming a common standardization layer referenced across multiple vendor announcements in this space.