# Internationalization services

> Products, platforms, and AI interfaces engineered to handle real-world language, script, and locale variation.

Build global readiness into the product and model experience before locale assumptions become expensive architecture.

Internationalization is product engineering: data, models, layout, input, formatting, and content need a locale-aware foundation.

## Services

- [Internationalization architecture audit](https://admas.net/capabilities/internationalization/architecture-audit/index.md): A code-to-interface review that exposes locale assumptions and turns them into an actionable engineering plan.
- [Unicode & complex-script support](https://admas.net/capabilities/internationalization/unicode-script-support/index.md): Correct storage, transformation, input, rendering, and directionality for the scripts your users actually use.
- [Locale-ready product design](https://admas.net/capabilities/internationalization/locale-ready-design/index.md): Interfaces and content patterns designed for expansion, bidirectionality, local formats, and variable language length.
- [Message architecture & MessageFormat](https://admas.net/capabilities/internationalization/message-architecture-messageformat/index.md): Structured messages, variables, selection logic, and authoring rules for grammatical, safe, maintainable multilingual interfaces.
- [Automated internationalization testing](https://admas.net/capabilities/internationalization/automated-i18n-testing/index.md): Build and runtime tests for locale-sensitive code, multilingual data, layout, input, formatting, and message behavior.

## Signals that this work matters

- Every new locale creates a new set of code exceptions
- Right-to-left or complex scripts break otherwise stable flows
- Dates, names, addresses, and sorting assume one market
- Designs have no room for real translated content

## Signals field brief

- [Internationalization Architecture for AI Products](https://admas.net/signals/internationalization-architecture-ai-products/index.md): AI products do not become international when the answer is translated. Language and locale state must survive the entire path from interface and prompt through retrieval, tools, memory, speech, and action.

## Outcomes

- **Fewer locale exceptions:** Shared architecture replaces one-off fixes and conditional behavior.
- **Correct script behavior:** Input, rendering, direction, shaping, and navigation work together.
- **Predictable expansion:** New markets enter a tested product system instead of a rescue project.

## Frequently asked questions

### What does internationalization cover?

Products, platforms, and AI interfaces engineered to handle real-world language, script, and locale variation. Admas treats it as a connected practice spanning Internationalization architecture audit, Unicode & complex-script support, Locale-ready product design, Message architecture & MessageFormat, and Automated internationalization testing. A project can start with one focused service and expand only where the evidence shows a dependency.

### Who is internationalization for?

This work is usually shared by engineering, product, design-system, content-platform, quality, and localization teams removing locale assumptions from a product. The exact team depends on who owns the affected user journey, data, system, content, market decision, and release risk.

### When should a team start internationalization work?

Start before a launch is locked when possible. Common signals include every new locale creates a new set of code exceptions, right-to-left or complex scripts break otherwise stable flows, dates, names, addresses, and sorting assume one market, and designs have no room for real translated content. A focused diagnostic can still help when the work has already become a recovery project.

### What inputs does a internationalization engagement need?

Useful starting inputs are representative repositories and builds, architecture and content-flow documentation, supported and planned locales, design-system components, and known defects and release constraints. They do not need to be complete: unknowns should be recorded as assumptions, risks, or discovery questions rather than silently filled in.

### How does internationalization connect to other localization and internationalization work?

The practice rarely stands alone. Product architecture affects localization; data affects model behavior; language quality affects release decisions; and program design affects whether improvements persist. Admas maps those handoffs explicitly so each specialist can work from the same acceptance criteria.

### What should AI automate in internationalization, and what should people own?

Static analysis, pseudolocalization, property tests, visual regression, and locale-aware fixtures can expose repeatable failures. Engineers and language specialists still have to interpret ambiguous behavior, test real scripts and user journeys, and decide whether the product experience is correct.

### How is quality measured in internationalization?

Use evidence tied to the intended decision, not one universal score. Typical measures include locale-sensitive test coverage, severity and recurrence of internationalization defects, script and format correctness, time needed to add a locale, and reduction in one-off code paths. Results should be segmented by language, market, content or task type, and risk so an average cannot hide a serious local failure.

### How is internationalization priced?

Pricing depends on system and repository size, number of platforms and surfaces, architecture access, locale and script risk, depth of implementation or testing, and required documentation and enablement. A defensible estimate separates repeatable production units from discovery, engineering, review, management, pass-through costs, and contingency. Admas scopes the acceptance criteria and review path before treating a volume number as a quote.

## Start a project

- [Build a internationalization project brief](https://admas.net/start-a-project/index.md?focus=internationalization): Share the product or model, modalities, languages, timing, and current constraint.