5 RFP Questions That Expose Weak Translation Vendors

Your translation RFP is probably a copy of the last one. That document likely predates the AI shift in language services, was written by one team instead of five, and asks questions whose answers no longer separate good providers from bad ones.

The Forrester Wave: Localization Services, Q3 2026 makes this point directly: AI has made multilingual content easier to generate but harder to govern and trust. The market is splitting between providers that use AI to redefine what they can do and those that use it mainly to shave costs off what they already did.

If your evaluation document does not reflect that split, you will not be able to tell which kind of vendor you are talking to.

Here are five questions worth adding to your next RFP — and what the answers should tell you.

1. How Do You Define Quality Differently Across Content Types?

Every provider will claim they have a quality process. The useful question is whether that process changes depending on what you are actually translating.

A patient discharge summary carries different consequences than a social media caption. A legal notice for a government agency is not the same as a school enrollment form. Ask the provider to walk you through how their quality bar shifts across those content types, and what happens when your team and theirs disagree on what good looks like.

Providers with genuine frameworks will answer specifically. Providers who rely on one-size-fits-all post-editing will give you a vague answer about ISO certification and move on.

2. Which Steps in Your Workflow Require a Human to Intervene?

A global campaign deadline does not care that someone forgot to move a file or approve a handoff step. The relevant question is not whether a provider uses automation — they all say they do — but which parts of their process stop and wait on a person.

Ask them to walk you through the full sequence from content-ready to content-live in every target language. Ask specifically where the bottlenecks are when volume spikes, a file format is unusual, or a linguist is unavailable.

An honest answer to this question tells you more about operational reliability than any case study will.

3. How Do You Choose and Customize the AI Model for Each Use Case?

This is the question most buyers cannot answer about their own current setup. Which model translated last quarter's patient materials? Which one handled the product release in three languages last month?

If the provider cannot tell you how they select models by content type, how they customize those models for your terminology and brand voice, and how they catch hallucinations or terminology drift before the output reaches a reader — that is a significant red flag.

A strong provider does not pick a model once and apply it universally. They match the model to the job, tune it to your glossary, and show you performance data that proves it is working.

4. How Do You Handle Languages Your Primary Linguists Cannot Cover?

This is the question that exposes the most provider risk, and the one that almost never appears on a standard RFP.

Many healthcare systems, school districts, and government agencies in the US serve populations that speak languages outside the top twenty. Providers will often accept a project in a rare language, subcontract it to whoever is available, and return a translation that has never seen a domain-expert or community review.

Ask specifically: What languages can you staff without subcontracting? For languages you subcontract, how do you vet the subcontractor? What quality process applies to rare-language output?

What This Looks Like in Practice for Pacific Language Communities

This is where a generalist agency cannot give you a straight answer, and where the stakes are concrete.

Chuukese and Pohnpeian speakers are among the largest Micronesian immigrant populations in the United States, concentrated in communities across Hawaii, Guam, and the US mainland. They are Compact of Free Association migrants with full legal access to US services — including Medicaid, public schools, and federal programs — and they are consistently underserved in language access because most LSPs cannot actually staff those languages.

At TXLOC, we work directly in Chuukese and Pohnpeian. That means we can answer RFP question four the way it should be answered: we name our linguists' qualifications, describe the community validation step we use for health and legal content, and explain exactly how we handle terminology that has no direct equivalent in English — because those gaps exist and pretending they do not is how translation errors reach patients.

When we see a competing provider claim Chuukese coverage on a capability sheet, we ask the same questions you should ask them: Who specifically translated it? What is their medical or legal background? Was the output reviewed by a community member with subject-matter familiarity? A capability claim with no answers behind it is not coverage.

The table below illustrates what a meaningful rare-language answer looks like versus a common non-answer.

5. How Do You Involve Stakeholders Outside the Localization Team?

Marketing owns brand voice. Product owns the interface strings. Legal owns anything with regulatory exposure. If the provider's entire process is designed to interface with one localization manager, you will eventually have a quality problem that no one caught because no one from the right team was in the loop.

Ask how they structure reviews that involve non-localization stakeholders, and how they handle disagreements between a linguist's judgment and a subject-matter expert's preference.

Providers who have done this well will have a process. Providers who have not will tell you it is really the client's responsibility to manage internal reviewers.

The Real Purpose of These Questions

The goal is not to make your RFP longer. It is to ask questions that produce answers you can actually differentiate on.

Quality process, workflow automation, model selection, rare-language coverage, and stakeholder integration are the areas where providers diverge most sharply right now. An RFP that does not probe those areas will return a set of responses that all sound identical — and you will pick the wrong vendor for reasons that have nothing to do with capability.

If you are evaluating providers for a program that includes Pacific Island, Micronesian, or other underserved language communities, contact TXLOC before you finalize your shortlist.