In this episode of the Customer Education Lab, Adam Avramescu sits down with his Personio teammate and Senior Learning Experience Designer Roberto Aiello for a deep dive into what modern customer education really looks like in 2026. They unpack how an international company with an English working language and a massive German market grapples with localization, terminology, and tone—including why “just translate it” fails, and how to design for truly native experiences instead. Roberto shares concrete stories from Personio’s Voyager Academy, like localizing character names, handling UI screenshots in multiple languages, and deciding what not to translate.

From there, the conversation shifts into AI-assisted content creation and distribution. Roberto walks through how he used AI to co-create a compensation course—turning scarce SME time into a solid 60–70% draft—and then scaled that approach into reusable assistants for brainstorming, course design, and promotional comms. Adam and Roberto also dig into how they mapped academy content to activation milestones, setup wizards, and implementation email journeys, so customers see the right learning at exactly the right moment. If you care about Customer Education, Digital CS, or scaled CX, this episode is a masterclass in moving from “more content” to measurable customer outcomes.

Episode Highlights:

• Why localization ≠ translation, and how cultural nuance (e.g., The Simpsons in Italy) changes tone, jokes, and stereotypes.
• The trap of forcing English tone and structure into other languages—and why native reviewers must have the final say.
• How Personio decides what terminology to localize vs. leave in English (“Dinglish”), especially in tech and HR products.
• Practical workflow: producing content in English, then using vendors + native reviewers + AI to localize efficiently.
• Using AI assistants (via langdock) to:
  • Draft HR skill courses (like compensation) from SME interviews and public domain expertise.
  • Encode style guides, glossaries, and frameworks so drafts are on-brand and consistent.
  • Generate promo copy (emails, posts) as part of a repeatable, scalable workflow.
• The real benefit of AI: freeing up time for strategic thinking—like distribution, campaigns, and mapping to business outcomes.
• Why translation memory and maintenance are harder than translation itself, and why integration across tools matters.
• Leveraging tools like Parta for on-brand, collaborative content creation, and Clueso for scalable, localized video.
• Personio’s AI Surge Week: workshop design to help non-experts adopt AI for content creation through live examples and iteration.
• Rebuilding the essentials learning path by mapping:
  • Activation milestones 
  • Academy content 
  • Setup wizard steps 
  • Implementation email journeys
• Example: surfacing targeted content at the people data upload step to reduce anxiety (GDPR, privacy, data scope).
• Why “more content” is not the goal—surfacing the right content at the right time is.
• The future: products that “talk” to customers, where education shifts from click-path tutorials to decision-making and critical thinking.