In software development, agile methods transformed how teams build products. They replaced rigid, long-term plans with adaptive, iterative cycles. However, localization workflows are often stuck in a traditional waterfall model. This creates bottlenecks and delays global releases. When development works in two-week sprints, a multi-month translation lead time can compromise the entire go-to-market strategy. This misalignment leads to missed launch…

Today, the demand for efficient and accurate translation workflows is more critical than ever. Traditional methods, often linear and fragmented, struggle to keep up with the dynamic needs of enterprises that require seamless collaboration across multiple users. This challenge is particularly pronounced in large-scale localization projects where maintaining consistency and resolving conflicting edits in real-time are paramount. As enterprises seek…

Introduction: Beyond translation machines For years, the conversation around artificial intelligence in the localization industry has focused almost exclusively on translation quality. While advancements in machine translation are critical, a new focus is emerging that promises an even greater impact on efficiency and scale: AI-driven workflow orchestration. The focus is shifting from the output of individual sentences to the intelligence…