AI-First Localization in a Regulated 24/7 Business with Putri Kumala and Arshaad Mohiadeen

In this episode of The Agile Localization Podcast, host Stefan Huyghe is joined by Putri Kumala and Arshaad Mohiadeen of Deriv to discuss how their team moved to fully automated, AI-driven translation workflows across 20+ languages without losing control of quality, brand, or compliance. Talk to an expert: https://crowdin.com/demo-request Try Crowdin: https://l.crowdin.com/bqh2qNj

What You’ll Learn

How to structure pre-translation and QA layers in automated workflows
Why benchmarking AI models against language-specific datasets is non-negotiable
The practical role of translation memory in hybrid workflows
How to involve localization early in product design without slowing velocity
Why redundancy in AI providers is critical for 24/7 operations
The human-in-the-loop responsibility model that actually scales

Putri Kumala is the AI Localization Operations Team Lead at Deriv. With two decades of experience in localization, Putri has pioneered the transition from traditional human-led translation workflows to AI-first localization strategies while maintaining rigorous compliance and quality standards. Her expertise lies in balancing automation with human oversight, developing terminology frameworks, and integrating localization early in product design cycles.

Arshaad Mohiadeen is a Senior AI Engineer at Deriv, specializing in large language model implementation and multilingual AI workflows. With deep expertise in prompt engineering, model benchmarking, and quality assurance systems, Arshaad bridges the gap between AI capabilities and localization requirements in highly regulated environments. His work focuses on designing redundant systems, testing AI consistency across languages, and establishing frameworks that protect against hallucinations and model drift.

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