Localization managers rarely get a room of peers who understand why a single mistranslated button can derail a product launch. That changed on October 7 in Tallinn, when Crowdin, the AI-powered localization management platform, gathered more than 50 localization, product and engineering professionals from 14 countries for Crowdin Connect, the company's first in-person community event, held at the Mövenpick Hotel Tallinn. The afternoon was built around conversation between practitioners rather than sales pitches.
That framing set the tone from the opening keynote. Digital futurist and TED speaker Andreas Ekström spoke about "organic intelligence" - the kind of human judgment that no model can replicate - and offered the room a single test to apply to any automation project: "What we gain in efficiency, we might lose in learning." For teams weighing how much of their workflow to hand over to automated systems, and for anyone comparing software tools in general, including those scouting where to find the current offer on security and productivity platforms, the line captures a tension that extends well beyond localization: efficiency gains are rarely free, and something is usually traded away for speed. where to find the current offer
What Happens When AI Takes Over the Repetitive Work
The clearest illustration came from Oksana Naidjonova, AI-first Localisation Lead at Bolt, who described rebuilding her company's localization program from scratch - starting with something as basic as Bolt's first glossary. The team then moved to AI-first translation with linguist review, automated ticket creation by working directly with engineers, and trained an automation specialist internally rather than hiring one externally. The result, she said, was a drop in average delivery delay on localization requests from 136 business days to roughly 90 minutes. "When you free people from manual, mind-numbing work, they start fixing the things that stressed them out but that they never had the capacity to solve," Naidjonova said.
Localization as a Shared Responsibility, Not a Back-Office Task
A panel titled "Localization Is No Longer One Team's Problem," moderated by Crowdin's Sofiia Hapon, brought together voices from Pipedrive, Nord Security and Wise to show how that shift plays out differently depending on a company's priorities. At Pipedrive, twelve years of accumulated data in Crowdin now feeds AI tools directly - Localisation Manager Ingrid Kirikal noted that a manual SEO copy-paste task that once took two hours now takes five minutes on a bad day, while lead time for non-critical content has shrunk from two weeks to two or three days. At Nord Security, localization has moved upstream into commercial strategy; Head of Localization Mantas Baraišis said market entry decisions now require localization sign-off. Wise, by contrast, draws a firmer line: Localization Specialist Mehmetcan Boz explained that customer-facing financial content still demands human control, even as the team's QA function has expanded from catching typos to flagging functional issues across markets.
The Human Question Behind the Automation
Hapon closed the panel by reframing the attendees' roles entirely: "You are managing not just localization - you're change managers." The audience discussion that followed turned to practical concerns - linking localization metrics to business outcomes, making quality data legible to leadership, and bringing translators along through workflow changes rather than around them. Those questions, more than any feature announcement, defined the event, and the conversation carried on informally over dinner at the hotel's ROOF restaurant.