Beyond the hype: how Doist built a practical AI-first localization engine
AI changed how Doist’s localization team worked, not just how fast they shipped.
By combining strong human foundations with a 70 percent AI and 30 percent human model, Doist scaled to eighteen languages and turned localization into a growth driver. This session shows the real workflows and decisions behind that shift.
During the webinar we will also discuss:
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The session
Most companies think localization is a choice between human quality and AI speed. Doist chose both.
Operating with limited resources, Doist originally punched above its weight by building a hyper-efficient, human-led localization engine. But to scale further across eighteen languages, they had to evolve. Today, they use a 70 percent AI and 30 percent human hybrid model that stretches a small team’s impact and now drives forty-five percent of total revenue.
In this from-the-trenches session, Daniel Garcia shares the practical reality of that transition. Moving beyond theory, he breaks down the actual workflows, mistakes, and breakthroughs the team experienced while scaling Doist’s global footprint.
What you’ll take away
The efficiency evolution
How Doist’s high-performing, pre-AI foundations in process and strategy became the launchpad for a successful transition to AI.
The 70/30 breakdown
How the team identifies which content requires human craft and where AI can safely be used to scale.
From delays to lever
How lean teams use AI to ship faster and support global revenue growth without adding headcount.
Upskilling for the AI era
How roles evolve from hands-on execution to owning workflows, decisions, and AI-enabled systems.
Speakers
Daniel Garcia
Growth Marketer with 11+ years of experience scaling products across global markets. I work at the intersection of market research, data, and linguistic and cultural insight to identify high-impact opportunities and build internationalization strategies that drive acquisition, retention, and monetization. Before marketing, I spent 16 years in journalism. That background shapes how I think and work today: analytical, structured, and clear, with a strong bias toward real-world execution.
Rob Finney
Rob has almost 20 years of experience in SaaS, with a proven track record of driving rapid customer adoption and scaling global growth. At XTM, he leads the global marketing strategy, focusing on accelerating growth and ensuring more organisations worldwide discover the measurable business value XTM delivers — helping them bring products to market faster, reduce localisation costs, and increase global revenue potential.
Turn AI into a growth driver for localization
Join a live, experience-led session with Doist and take away practical lessons you can apply to your own localization programs.
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