A Portugal-facing product page may be understandable in Brazil yet miss local terms, measurement conventions and conditions.
Define the problem before introducing automation
Inputs and authority: Approved master specifications, Brazil-specific availability, glossary, approved legal claims and image alternatives.
Preparation: Create a locale delta sheet for terminology, measurements, delivery language, payment disclosures and support paths.
Translation is one stage of localisation. Region, intended register, service commitments, typography, numerical formatting and cultural expectations all need a separate approval.
The working method: produce an inspectable artifact
Drafting or analysis step: Generate a pt-BR adaptation from approved factual fields, keeping units and warranty statements locked.
Test the result: Native reviewers inspect ambiguous product terms, diacritics, number separators and unsupported promotions.
Where a rule or deterministic computation can provide the answer, use it. Ask the assistant to explain or format approved fields; do not ask it to reconstruct exact counts, invent missing contract conditions or estimate a legal obligation. For calculations, save a query, code notebook or workbook that a second reviewer can run. For localized text, save the original sentence and translation version together.
A grounded example
A device described using European Portuguese terms may confuse the intended buyer; translation cannot create a Brazilian warranty.
Approval gates and negative tests
Required handoff: Country marketing approves cultural phrasing; product/legal owners approve price, warranty and regulated claims.
Critical failure mode: Do not infer product availability or commercial rights from language support alone.
- Run one routine case and one ambiguous, contradictory or incomplete case; the correct response may be to stop and ask a person.
- Test whether a user can correct an error and whether that correction changes later authorized output without creating a second inconsistent record.
- Check for permission leakage, data retained beyond purpose, unseen translations, unsupported numbers and unapproved external communication.
- Record the reviewer, source revision, decision and reason in an access-controlled log; minimize personal data in that log.
What to measure instead of assuming ROI
Measure: Locale QA defects; product inquiries caused by copy; confirmed factual fidelity.
Risks, access boundaries and regional applicability
Do not equate supported language with local availability, legal adequacy or demonstrated dialect accuracy.
Regional applicability: this method is intended for global audiences, but legal duties, consent requirements and professional standards depend on sector and jurisdiction. It does not assert that a particular law applies to all employers, schools or businesses. Where employee rights, education records, competition claims or consumer remedies are at stake, qualified local review is required before acting.
When the simpler method is better
Fallback: Commission local editorial adaptation from a maintained source-of-truth catalogue.
What the cited institutions actually establish
The Unicode CLDR project maintains structured locale data and specifications used for regional differences in languages, dates, numbers and currencies.
The W3C published WCAG 2.2 as a Recommendation on 5 October 2023, providing testable accessibility success criteria.
NIST released its voluntary AI Risk Management Framework on 26 January 2023; its purpose is to support organizations in managing AI-related risks.
Sources & Further Reading
These primary sources support the dated framework or institutional context. The practical workflow above is original editorial guidance, not a reported result from any vendor.
- Unicode Consortium: Unicode CLDR Project (version unspecified; stable project description)
- W3C: WCAG 2.2 Recommendation (2024-12-12 updated Recommendation; originally 2023-10-05)
- NIST: AI Risk Management Framework 1.0 (January 26, 2023) (2023-01-26)