As demand for multilingual video content rises, multimedia localization is becoming crucial for Language Service Providers (LSPs), offering revenue growth and new business opportunities. To cope with labor-intensive multimedia workflows and the rise in client demand for cheaper and faster multimedia localization services, LSPs are starting to leverage advanced AI applications to streamline the localization process. However, workflows and tools adopted by media service providers may not be suitable for LSPs, while the plethora of available solutions makes it hard for LSPs to choose the ones that most effectively optimize their workflows. In this presentation, we assess AI technologies that offer efficiency and cost reduction in the traditionally human-driven workflows of transcription, translation, voice-over (VO), and subtitling with the goal to provide recommendations for LSPs on how to evaluate which tools work best for their processes.