As networks evolve toward autonomous, intent-driven operation, Communications Service Providers face a critical challenge: how to detect, analyse, and resolve conflicts between multiple autonomous entities acting simultaneously. These conflicts—arising from competing intents, overlapping policies, or resource contention—can lead to service degradation, instability, or unintended behaviour if not managed proactively. The Conflict Management in Intent-Based Networks Catalyst project demonstrates a framework for ensuring safe, predictable, and coordinated operation across autonomous network functions. Building on previous Catalyst work in end-to-end intent-based service realisation, this project shows how CSPs can introduce automated conflict detection, classification, and resolution mechanisms into their intent-driven architectures. The solution uses autonomous engines to evaluate intents, analyse the impact of policy changes, and identify conflicting actions across layers and domains. It then applies rule-based and AI-driven strategies to propose or execute optimal resolutions, maintaining service quality and intent compliance even in complex multi-agent environments. By addressing one of the biggest operational risks in autonomous networks, this Catalyst equips CSPs with the tools needed to adopt intent-based operations confidently and safely, accelerating the journey toward fully autonomous networks while protecting customer experience and network integrity.