Agentic AI Mesh
Agentic AI mesh is QuantumBlack / McKinsey’s architecture pattern for scaling agents across an enterprise without turning every workflow into a bespoke, unmanaged integration.
Key points
- The report defines the agentic AI mesh as a composable, distributed, vendor-agnostic architecture for combining custom-built and off-the-shelf agents [src-111].
- The mesh is meant to manage agent discovery, reuse, interoperability, technical debt, governance, observability, and autonomy controls [src-111].
- The report points to Model Context Protocol (MCP) and Agent2Agent (A2A) as preferred standards compared with proprietary point-to-point integrations [src-111].
- Required capabilities include discovery, an AI asset registry, observability, access control, evaluations, feedback management, compliance, and risk management [src-111].
Related
QuantumBlack, Agent-Native Infrastructure, Enterprise Agent Governance.
Source references
- [src-111] QuantumBlack / McKinsey – Seizing the agentic AI advantage.
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