AI translation quality is improving. The harder question is: improved enough to trust?

For enterprise teams deciding whether to expand AI, justify the investment, or move away from human-review-only workflows, gut instinct isn't enough anymore.

In this on-demand webinar, Lokalise's Product and Engineering teams show you how to get data-backed proof of AI translation quality — on your own content, inside Lokalise, in under 15 minutes.

What you'll learn:

Why 57% of localization teams cite "lack of confidence in AI quality" as their biggest barrier to using AI more
How Proof of Value works: a live product demo comparing Custom AI Profiles vs. base AI vs. standard machine translation
What the metrics actually mean — and how to read them without a linguistics background
How a European fintech team achieved 49% perfect match with a Custom AI Profile vs. 13% with generic AI
How to use your existing reviewed translations as a starting point — no new data required

Alesia Nikalaichyk

Product Manager, Lokalise

Alesia is a Product Manager at Lokalise, with 5+ years of localization expertise. Thanks to previously having worked as a Customer Success Manager, she has a deep understanding of Enterprise customer needs, which she now applies to shaping impactful product strategies and results.

Sasho Savkov

Engineering Manager, Lokalise

Sasho is an Engineering Manager at Lokalise, where he leads the AI translation effort. He brings more than 15 years of experience in AI across academia, business sustainability, and healthtech, and now applies his expertise to the localization industry. Sasho combines deep technical knowledge with a passion for innovation.