Operations ยท Core concept
Enterprise Localization Strategy
Enterprise localization strategy connects localization to business outcomes: governance, an operating model, quality measurement, AI readiness, and reporting that executives can act on.
Also known as: enterprise localization, localization strategy, localization program, localization governance
What strategy decides
Which markets matter and why, what quality each content type needs, what is insourced versus vendor-delivered, which automation is worth its engineering cost, and how success is measured. Strategy that cannot state its trade-offs is a wish list.
Governance
Who decides terminology, who owns quality standards, who approves new locales, and how exceptions work. Without governance, every product team invents its own localization process and the enterprise pays for the inconsistency.
AI readiness
An honest inventory: which content is MT-suitable, what quality controls exist to catch bad output, whether the data (TM, termbase) is clean enough to train or constrain engines. AI readiness is mostly data hygiene and QA design, not tooling purchases.
Reporting that executives use
Cost per market and content type, quality trends with confidence intervals, cycle time, and risk exposure. Executive reporting exists to support decisions like market entry and automation investment, not to decorate slide decks.