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Join Stephanie Harris-Yee and Erik Vogt for a deep dive into one of the most overlooked challenges in AI localization: governance. While large language models have dramatically improved translation quality and customization capabilities, many companies struggle to operationalize AI effectively. This conversation explores why governance frameworks are essential for successful AI deployment in localization workflows. […]

Working in localization used to mean you always had a safety net: the English master file. This source file is the definitive, finalized version from which all other language versions are created. In a traditional localization process, this source file functions as the source of truth for things like tone and style, product names, and […]

From a procurement perspective, a translation request for proposal (RFP) often looks like a win once the contract is signed. Procurement followed the standard process, vetted vendors, and negotiated pricing. On a spreadsheet, every box is checked. The reality on the ground is different. Months later, the new vendor may see almost no activity because […]

Join Stephanie Harris-Yee and Erik Vogt for a critical discussion about why subject matter experts (SMEs) have become the most significant constraint in modern localization workflows. While AI has made translation faster and more accessible than ever, the real challenge lies in validating accuracy, intent, and domain expertise—and that requires human SMEs who are increasingly […]

Localization pricing is one of the most debated topics in our industry, yet it’s often the one that feels the most confusing to buyers. While most procurement conversations focus on per-word rates and match discounts, those metrics don’t always tell you what you’re actually paying for. In our latest Field Notes episode, Global Marketing Director […]

The most dangerous assumption a team can make is that a model that works in English will work everywhere else. This year, many teams have moved beyond experimentation and are now attempting to scale AI across global, customer-facing workflows. But once a model moves into production across multiple markets, subtle failures start to surface. It […]

For the past few years, most enterprise AI conversations have focused on models: who has the biggest one, the fastest one, the best benchmarks. These questions made sense when AI was still largely experimental and limited to narrow, low-risk use cases. That idea no longer holds up. AI systems are now embedded in customer support, […]