Autonomous Coordination Intelligence Infrastructure (ACIN): A Coordination Substrate for Enterprise Multi-Agent AI Systems

Autonomous Coordination Intelligence Infrastructure (ACIN) is a next-generation coordination substrate designed for enterprise-scale multi-agent AI systems operating under dynamic, distributed, and governance-constrained environments. The paper introduces a coordination-first architectural paradigm for enterprise AI, addressing the systemic limitations of current orchestration frameworks such as coordination collapse, semantic drift, governance brittleness, and entropy accumulation. ACIN establishes a dedicated infrastructure layer between cloud infrastructure and agent applications through five integrated components: • EMH — Entropy Management Hub• EHSI — Enterprise Hierarchical Synapse Interface• ANSFA — Autonomous Negotiation Synthesis Framework• DSEKG — Dynamic Semantic Evolution Knowledge Graph• EOP — Emergent Orchestration Protocol Together, these systems enable decentralized coordination, semantic coherence, adaptive orchestration, governance-by-design, and institutional-scale autonomous intelligence. The whitepaper presents: Theoretical foundations of coordination substrates Mathematical coordination mechanics Distributed governance architecture Semantic evolution infrastructure Emergent orchestration protocols Reference deployment topologies Enterprise implementation case studies across AWS, Microsoft Azure, Oracle, and Treasure Data ACIN proposes that the primary bottleneck in enterprise AI is no longer individual model capability, but large-scale coordination architecture.