Field Notes: AI and Localization Innovation (Video Library)

Field Notes

with Stephanie Harris-Yee

Real talk on AI and localization, in 15 minutes or less.

Hello! I'm Stephanie, and welcome to Field Notes, a series where I sit down with industry pros of the localization world to dig into the topics that are actually showing up in our day-to-day. Some episodes are about big shifts like AI and what it's doing to our workflows, others are about the smaller, stickier stuff: pricing quality, managing SMEs, or figuring out what to do when a rogue team starts translating without you. The goal isn't to hand you a perfect playbook but to share what we're seeing out in the field, swap notes with people who know their stuff, and hopefully give you a few useful things to take back to your own work. So grab a coffee, settle in, and let's get into it.

FN LP - Shadow Localization

Shadow Localization

Someone on your team ships a translated page overnight, looks like a hero, and nobody filed a localization request. Then you stumble on the copy later and think, “Did we do this?” That moment has a name: shadow localization.

FN LP - Scale vs Assurance

Economies of Scale vs Assurance

AI has made translation dramatically cheaper, yet a lot of localization leaders still feel like budgets are tightening and quality pressure is rising at the same time. We dig into why that paradox is real and how it shows up inside modern localization programs.

FN LP - The Governance Problem

The Governance Problem

AI translation has never looked better on the surface, yet plenty of teams still can’t make it work reliably in production. We dig into the uncomfortable reason: large language models are probabilistic systems, so the failure modes shift from obvious “bad machine translation” to believable, fluent mistakes that can quietly change meaning, introduce the wrong product definition, or slip in biased or hallucinated details.

FN LP - SME Bottleneck

Why SMEs Are The Real Bottleneck

Translation is getting faster every month, yet localization risk keeps rising. That’s not a paradox, it’s a signal that the bottleneck has moved. Stephanie from Argos sits down with Erik, an independent advisor at Vogt Strategy, to name the real constraint most enterprise teams are feeling: subject matter expert feedback loops that can’t keep up with AI-driven volume.

FN LP - How to Price Quality

How to Price Localization Quality

“Quality” in translation sounds like a simple promise until you ask one uncomfortable question: what happens if it’s wrong? Stephanie and Erik unpack why so many localization pricing conversations get stuck on a single, vague standard, and how that confusion leads teams to either overbuy heavy workflows or quietly push risk onto vendors without paying for it.

FN LP - Metadata

Metadata

Metadata sounds like the boring part of localization until you realize it can be the difference between a scalable operation and a constant fire drill. We get specific about what’s at stake when a major share of a multi-billion-dollar industry goes to coordination, project management overhead, and transactional friction rather than value creation.

FN LP - Solutions Design

Solutions Design

Localization is changing so fast that our old labels might not survive it. Stephanie sits down with Erik Vogt to unpack “solutions design,” the strategic discipline of turning a real business problem into a technology-supported solution that is both executable and commercially viable.

FN LP - Connectors

Connectors

“Just connect the systems” is the phrase that launches a thousand painful integration projects. We sit down to get honest about why connectors in localization and content operations are rarely plug and play, even when a vendor says they have one.

FN LP - AI in Marketing

AI in Marketing

We tackle the big question global teams are wrestling with: if you can originate content directly in any language, does localization still matter? Our answer is yes, but the job changes.

FN LP - AI LQA

Ai-Powered Language Quality Assurance

AI LQA sounds like the shortcut every localization team wants, but the real story is more nuanced and a lot more useful. We sit down with Erik Vogt to define AI-driven linguistic quality assurance and quality estimation in plain terms, then follow the practical question that matters: how do you use AI to review more content without blowing up cost, time, or trust?

FN LP- Are fuzzy matches dead

Are Fuzzy Matches Dead?

Fuzzy matches have been treated like a law of physics in localization: higher similarity means lower effort, so the discount grid must be fair. But when we look closely, that assumption starts to wobble.

FN LP - Idea to AI

From Idea to AI

A CEO says “add AI,” a team nods, and suddenly everyone is shopping for tools instead of solving a problem. We dig into why that move derails so many AI initiatives and how to convert a fuzzy mandate into a project you can scope, staff, and measure without burning months on ambiguity.