Localization Teams Trade Demos for Dialogue at Crowdin's First Live Event

More than 50 localization, product and engineering professionals from 14 countries gathered in Tallinn on October 7 for a conversation that deliberately avoided product pitches. Crowdin Connect, the AI-powered localization management platform's first in-person community event, brought practitioners from Bolt, Pipedrive, Wise and Nord Security together at the Mövenpick Hotel to discuss what actually changes when artificial intelligence enters a translation workflow - and what doesn't.

The timing matters. Localization has quietly become a proving ground for how companies balance automation with human judgment, a tension playing out well beyond the translation industry. As more teams experiment with AI-assisted workflows for everything from customer support to content review, questions about data handling and tool trust follow close behind - the same instinct that leads privacy-conscious users toward a VPN that does not ask for an email when choosing which services deserve their information. Crowdin's event suggested that localization professionals are asking a parallel question: not whether to automate, but how much of the process should remain visibly human.

From Backlog to an Hour and a Half

Andreas Ekström, the digital futurist who opened the event, framed the stakes before any company spoke. His keynote on "organic intelligence" argued that the judgment technology cannot replicate is precisely what organizations need to protect as they automate. "What we gain in efficiency, we might lose in learning," he told attendees, adding that the defining hiring question of the coming years won't be which artificial intelligence a company buys, but which organic intelligence it brings in.

Oksana Naidjonova of Bolt gave that idea concrete shape. Her team rebuilt the company's localization program from first principles - starting with a glossary, then layering in AI-first translation with linguist review, automated ticket creation built alongside engineers, and an in-house automation specialist grown from within the team. The payoff was stark: average delivery delay on localization requests fell 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 Becomes Everyone's Business

The panel that followed, moderated by Crowdin's Sofiia Hapon, made the case that localization has outgrown its status as a single department's task. At Pipedrive, 12 years of accumulated data in Crowdin now feeds AI tools directly - Ingrid Kirikal, the company's Localisation Manager, pointed to an SEO copy-paste task that once took two hours and now takes five minutes "on the worst day," with lead times for non-critical content shrinking from two weeks to two or three days.

At Nord Security, localization has moved upstream into strategy itself. "Any kind of market entrance has to be validated by the localization team," said Mantas Baraišis, the company's Head of Localization. Wise offered the counterpoint: as a financial institution, the company keeps humans firmly in control of customer-facing text. "If the translation is directly customer-facing, we don't really want to trust AI fully," said Localization Specialist Mehmetcan Boz, noting that the team's QA function has expanded from catching typos to flagging functional problems across markets.

Change Management, Not Just Translation

Hapon's closing line to the panel captured the day's throughline: "You are managing not just localization - you're change managers." The audience discussion that followed turned to tying localization metrics to business outcomes, making quality data legible to leadership, and bringing translators through workflow changes without losing their trust. Those questions, unresolved by design, carried into dinner at the hotel's ROOF restaurant, where the conversations Crowdin had set out to start kept going well past the formal program.