You may be feeling the pressure from higher up to figure out how to make AI work in your localization program. Or you’ve decided that your team needs to be proactive about AI and get busy with hands-on experimentation. There are many reasons for wanting to learn about and start testing AI.
Regardless of how you got here, you need to do your due diligence about large language models (LLMs) and generative AI — if only to determine that they may not be a good fit for the current iteration of your localization setup, which may be one of the potential outcomes. But where do you start?
You will want to know where you are on your AI trajectory and what you need to do to reach a point where AI-powered solutions become an integral part of the process. You want to be prepared to ask the right questions.
We prepared a cheat sheet of crucial questions for you to answer to start being AI-active.
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At Argos, we understand the complexity of integrating a new piece of transformative technology into the process — never mind something as transformative (and daunting) as AI. We’ve been researching and helping our clients navigate their transition into the AI-augmented future.
Argos Multilingual
11 min. read
Localization leaders sit in an unusual position: their work touches the entire customer journey, from acquisition and conversion to onboarding, retention, and expansion, which makes them effectively accountable for the global customer experience. Yet accountability and authority rarely line up. Each stage of that journey has a different executive owner: the head of marketing, the […]
Argos Multilingual
3 min. read
Over 76 pages, Global Ambitions: Meaning-Making offers a glimpse into the post-GenAI reality of the language services industry San Francisco (CA), September 7, 2026 Argos Multilingual is pleased to announce the immediate release of the 2026 edition of the Global Ambitions publication. It is available online and in print and is included with the September […]
