This topic covers AI platforms and toolchains used to deliver real‑time fan engagement and accessibility at live events, from onsite voice/chat assistants and automated translation to synchronized captions, dubbing and post‑event localization. Demand for low‑latency, multimodal experiences and stronger accessibility compliance (live captions, translated audio, conversational kiosks) has accelerated adoption of integrated AI stacks that combine CX automation, localization pipelines, and agent orchestration. Key categories include CX automation and AI automation platforms (for chat/voice assistants and multi‑agent workflows), localization and translation tools (real‑time MT + human‑in‑loop LangOps), and AI marketplaces for model & component orchestration. Representative tools: Kore.ai and Relevance AI for building and orchestrating multi‑agent workflows and conversational automation with governance and observability; IBM watsonx Assistant for enterprise virtual agents and no‑code/developer assistant flows; Observe.AI for voice agents, real‑time agent assist and QA in contact‑centric scenarios; Unbabel and Lilt for scalable translation/localization combining MT, AI quality estimation and human review; ViiTor AI for multilingual video translation, voice cloning and automated dubbing; and Google Gemini as a provider of multimodal generative models and developer APIs that power synthesis and real‑time understanding. Practical deployments blend these capabilities: low‑latency speech recognition and dubbing for live broadcasts, real‑time captions and translations for in‑venue screens, agent orchestration for ticketing and accessibility requests, and LangOps pipelines for post‑event content. Evaluations should weigh latency, quality estimation, human‑in‑the‑loop workflows, governance/observability, and integration across event infrastructure and streaming platforms.