EXPERT COURSE

AI Localization Strategy for Globalization Leaders

AI is changing localization, but not in the way many people think. AI can help with translation, linguistic analysis, terminology checks, cultural research, sentiment analysis, reporting, and workflow automation. But AI does not remove the need for localization expertise. In many cases, it makes that expertise even more important. The real question is not whether localization professionals should use AI. The real question is how to use it with strategy, context, and human judgement to create better global experiences.

From Prompts to Strategy

This course is designed for localization and globalization professionals who want to understand AI beyond the hype. You will look at how LLMs work, how to write better prompts, how to use frameworks such as CREATE, and how to apply AI to real localization scenarios: cultural adaptation, stakeholder feedback, translation analysis, LQA, multilingual sentiment analysis, quality metrics, and AI localization strategy.

Why This Matters Now

According to Nimdzi Insights, the language services industry reached an estimated USD 71.7 billion in 2024 and was projected to reach USD 75.7 billion in 2025. At the same time, ELIS 2025 shows an industry under pressure, where technology, AI, pricing, productivity, and business expectations are changing fast. Localization professionals need to understand not only how to produce language, but how to evaluate AI output, manage risks, measure impact, and explain the value of human oversight.

By the end of the course, students will have a practical view of what AI can and cannot do in localization. They will learn how to build AI-assisted workflows, define where humans should validate, measure efficiency and quality, and design an AI localization strategy that supports business goals without losing cultural nuance, quality, or trust.

Key insight: This course helps localization and globalization professionals understand how AI is changing their work and how to respond strategically. Students will learn the basics of AI and LLMs, how to create better prompts, how to apply AI to localization scenarios, how to evaluate AI output, and how to build human-in-the-loop workflows that protect quality, cultural relevance, and user experience.


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  • This webinar includes:
  •    Expert panellist: Jourik Ciesielski, Globalization Director at King (Microsoft)
    Globalization and localization strategy specialist 
  •      Live activities
  •  Lifetime access to the course and extra contents
  •  In English
  •  Certificate of completion
  •  Course duration: 4 h (approximately)
  •  When: 27 and 28 October 2026 at 18.00 CET
Course created in collaboration with:

Free for Crowdin Enterprise Users

CREATING AI-Driven Localization Pipelines

A 2-hour session on designing intelligent AI-driven localization pipelines:
context, guardrails, quality estimation, automated post-editing, and agentic automation

Session Breakdown

1 SESSION

AI Foundations, Prompting, and the Strategic Role of Globalization Leaders

120 minutes
  • ▸ Responsibilities of a Globalization Director today
  • ▸ Why AI changes localization leadership, not only localization execution
  • ▸ A practical introduction to AI, LLMs, and ChatGPT as a conversational tool
  • ▸ Prompting best practices: clarity, context, role, examples, iteration, and the CREATE framework
  • ▸ Choosing the right output format: bullets, tables, paragraphs, checklists, charts, and flowcharts
  • ▸ When to use AI tools, when to use search or research tools, and why human judgement remains essential
2 SESSION

Applying AI to Localization, Quality, Measurement, and Strategy

120 minutes
  • ▸ AI for cultural adaptation, local market insight, inclusive language, and cultural risk detection
  • ▸ AI-assisted translation analysis, subjective feedback triage, and structured quality assessment
  • ▸ Using glossaries, style guides, and MQM-style thinking to guide AI assessment
  • ▸ Limitations: context gaps, stereotypes, bias, and the need for human validation
  • ▸ Measuring AI impact: quality, efficiency, cost, ROI, and stakeholder satisfaction
  • ▸ Building an AI + human localization strategy, including guidelines, escalation rules, and final takeaways

Course Description

What Is This Course About

AI Localization Strategy for Globalization Leaders is a practical course about how AI, LLMs, and automation are reshaping localization and globalization work. The course starts with a clear introduction to AI and prompting, then moves into practical localization use cases such as cultural adaptation, translation analysis, subjective feedback, LQA support, multilingual sentiment analysis, and AI impact measurement.

What You Will Learn to Do

You will learn how to use AI as a strategic assistant, not as a replacement for localization expertise. The course covers prompt design, output formats, role-playing prompts, the CREATE framework, common LLM pitfalls, human-in-the-loop workflows, AI quality metrics, and how to build an AI localization strategy that connects with business goals.

Course Format

This is a 4-hour online course divided into two practical sessions. Each session combines conceptual foundations with real-world examples, prompting exercises, and strategic discussions. Students will walk away with actionable frameworks they can apply immediately.

Why AI Strategy Matters Now

The localization industry is under pressure. Technology, AI, pricing, productivity, and business expectations are changing fast. Localization professionals need to understand not only how to produce language, but how to evaluate AI output, manage risks, measure impact, and explain the value of human oversight. This course gives you the strategic framework to do that with confidence.

Who is this for? Localization managers, project managers, translators, LSP professionals, content and product professionals, and anyone preparing for leadership roles in the era of AI.

Taught by an Industry Leader

The course is taught by Miguel Sepúlveda, Globalization Director at King / Team Xbox (Microsoft). Miguel brings more than 30 years of experience in localization, including vendor-side, client-side, gaming, LQA, strategy, vendor management, localization analytics, DEI localization, UX localization, and AI-driven localization strategies.

What You Will Learn

✓

Understand how AI, LLMs, and automation reshape the role of globalization leaders

✓

Master prompting for localization work using the CREATE framework and best practices

✓

Apply AI to cultural adaptation, local market insight, and inclusive language detection

✓

Use AI for translation quality assessment, subjective feedback triage, and structured analysis

✓

Measure AI impact with quality, efficiency, cost, and ROI metrics

✓

Build an AI + human localization strategy with guidelines, escalation rules, and metric dashboards

Who Is This For

🎯

Localization Managers & Globalization Leads

Professionals who need to understand how AI changes their role, workflows, and strategic conversations with leadership.

📋

Project Managers & Program Managers

Managers who want to use AI more effectively in localization planning, translation workflows, LQA, feedback analysis, and reporting.

🌍

Translators, Reviewers & Language Leads

Linguists who want to understand how to work with AI without reducing their role to simple post-editing.

💼

LSP Professionals

Professionals who want to advise clients on AI-assisted workflows, human validation, quality measurement, and responsible AI adoption.

🚀

Content, UX & Product Professionals

Professionals who collaborate with localization teams and want to understand how AI can support global-ready content.

📈

Future Localization Leaders

Professionals preparing for leadership roles who want to connect AI, quality, cultural adaptation, metrics, and business impact.

No coding or technical background required. This course is designed for localization professionals at all levels who want to think strategically about AI and its impact on their work.

Requirements & Setup

What You Will Need

  • ▸ A standard computer with internet connection
  • ▸ Professional English reading level (course materials and examples are in English)
  • ▸ General understanding of translation or localization workflows
  • ▸ Basic familiarity with digital products, apps, games, or websites
  • ▸ Optional: access to ChatGPT, Claude, Gemini, or another AI tool to test prompts
  • ▸ Optional: access to a TMS, CAT tool, style guide, or LQA report for personal exercises

Students do not need specific paid software accounts to follow the course. Everything is designed to be accessible with a standard computer and internet connection.

Pro tip: If you have access to your own style guides, glossaries, or LQA reports, bring them to the course. The exercises are designed to work with your real-world materials alongside the provided examples.

Miguel Sepúlveda

Globalization Director at King (Microsoft)
About MIGUEL
Being the Globalization Director at King, Miguel is in charge of the internationalization and localization strategies for this video game company part of Microsoft.
Miguel implements and uses AI in management and different localization tasks to improve productivity, efficiency and quality.
Apart from that, Miguel also contributes to the translation management community with his mass followed blog "Yo localizo" (it is a must for all project, translation and localization managers and even more if you are in the videogame industry).