A new platform-mediated mechanism, PAPC, is proposed to manage privacy-propagation externalities in AI-mediated workflows. PAPC intercepts information-moving events to prevent downstream exposure costs and preserves deterministic task completion. This development is relevant to people building and operating AI agents, as it addresses a key challenge in ensuring the privacy of AI-mediated systems.