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How to Build Human-Centered AI Workflows in Localization with Shashi Bhushan
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In this episode of The Agile Localization Podcast, host Stefan Huyghe sits down with Shashi Bhushan, a Localization Workflow Strategist, to unpack what makes modern workflows efficient, adaptable, and human-friendly, how AI agents can enhance your translation workflows, and the critical role of human-in-the-loop processes in maintaining quality across languages.
What You'll Learn:
- How to map your localization workflow before selecting AI tools
- Why the AI source text agent should be your first deployment
- How to involve engineering and product teams from day one
- Why GDPR and data privacy concerns require on-premises AI models
- The pilot approach to AI adoption
Shashi Bhushan is a Localization Workflow Strategist and freelance consultant with vast experience designing AI-enhanced localization processes at enterprise-scale organizations. Originally trained as a journalist in India, Shashi transitioned into localization through work on Marvel Comics content and held key vendor roles at Google and Amazon, where he managed localization across multiple languages and products, including Google Maps, Search, and Payments. His expertise centers on workflow mapping and human-in-the-loop AI integration, specifically designing systems where AI agents handle repetitive quality tasks.
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