Topic Cluster
Agent Orchestration
Agent orchestration is becoming a critical layer of enterprise AI infrastructure. MCP protocol, A2A standards, orchestration framework competition, and the open-weight vs closed-source dynamic will determine the future of enterprise agent architecture.
9 articles
Multi-agent teams need a work queue, not a chat
How a one-human company runs 2,700+ agent tasks: durable work queues with IDs, owners, priorities and closure checks beat chat as the agent-to-agent contract.
Genesys launches AI Control Plane for agentic CX
Genesys' AI Control Plane coordinates AI, humans and systems around one governed customer journey. Cloud ARR nears $2.9B, AI ARR tops $400M.
Orchestration Is the Real Agent Gap: UiPath and Infobip
UiPath Maestro Flow and Infobip AgentOS: the gap is orchestration, not agents. Coding agents build prototypes; orchestration runs them as governed processes.
MCP Goes Stateless: The 2026-07-28 Spec Milestone
The MCP 2026-07-28 spec shifts to a stateless core: round-robin load balancing, header-based routing, cacheable lists, Tasks extension, and auth hardening.
Agent Orchestration Goes Production: EY, A2A at Scale
EY Canvas processes 1.4 trillion audit data lines via agent orchestration. A2A adopted by 150+ orgs. Gartner: 40% of enterprise apps will embed agents by 2026.
AI Agent Orchestration: Build vs Buy Decision Framework 2026
Multi-agent systems hit production. Gartner: 50% of vendors see orchestration as key differentiator. Enterprises face critical build-vs-buy decisions.
MCP and A2A Convergence: Agent Interoperability Matures
MCP and A2A protocols converge under Linux Foundation governance, with MCP handling tool access and A2A managing agent coordination in the emerging AI stack.
MCP's 'USB-C Moment': 2026 Agent Protocol Ecosystem
MCP surpassed 150 adopters, A2A reaches cloud production. The four-layer protocol ecosystem (MCP/A2A/ACP/UCP) defines the standard for agent interoperability.
The Agent Orchestration Standards Battle
The OpenClaw acquihire marks AI competition shifting from model quality to orchestration standards.