Huawei Huawei University of Oulu Viavi Solutions Network management is increasingly carried out by autonomous, AI- driven agents that observe and act on the network and service state they share. Where their scopes overlap - the same managed entities, resources, or objectives - their independent decisions can prove mutually inconsistent, and such inter-agent conflict is, at bottom, coordination that has not been put in place; the two are best studied together. This document maps the problem for network management: where inter-agent conflict comes from, which families of mechanism resolve it, and how those mechanisms are chosen and combined. It then turns that map on a case of current interest in the IETF - the AI-based Network Management Agent (NMA) architecture - and offers six recommendations for strengthening how that architecture handles inter-agent conflict at its Agent-to-Agent interface.