Multilingual AI Support Diagnostic
Your AI works in English. Does it work in other languages?
GlobeTune checks if a company's AI chatbot gives customers the right answers in every language, not just English, so people everywhere get the same good help.
We test your AI support in every language you serve, show what lower performance costs you each month, and give you a clear plan to fix it.
The Problem
The hidden cost no one is measuring
Hidden underperformance
Resolution rate is usually reported as one number. Broken down by language, non-English markets often perform far worse.
Extra support costs
Unresolved AI conversations escalate to human agents, often bilingual or outsourced, at a much higher cost per contact.
Silent breakage
A new model, prompt, or knowledge-base change can improve English while quietly hurting French, Spanish, or Japanese.
Lost customers and trust
Some customers don't escalate. They give up. Those conversations never become a ticket, but they cost you trust, reviews, and revenue.
Cost Calculator
What does lower AI performance in other languages cost you?
Extra escalations per month
2,000
Estimated monthly cost
$16,000
$192,000 per year
Illustrative estimate. Your diagnostic uses your real data.
Don't know your AI resolution rate by language? That's exactly what we measure. Book a free review
How we calculate this: Extra escalations = monthly conversations × (English resolution rate − resolution rate in that language). Estimated cost = extra escalations × cost per human-handled ticket. It doesn't include customers who give up without escalating.
Our Solution
The Multilingual AI Support Diagnostic
We test your AI support the way your customers use it, in each language and market you serve. Native-speaker experts design realistic scenarios, run them against your assistant, review samples of real conversations, and score every language across six dimensions. You get a clear picture of where your AI falls short, what it costs, and what to fix first.
Performance by language
How often your AI solves customer issues in each language and market, and what each shortfall costs you per month.
Root-cause analysis
Why each language fails, across six dimensions.
Prioritized fix plan
Missing knowledge-base information for each market, retrieval issues, prompt changes, and handoff rules, ranked by savings.
Executive summary
A clear, shareable readout for CX and leadership.
Why GlobeTune
Translation and review vendors
Check whether text is translated correctly. They don't test how your AI behaves in a conversation or what its failures cost.
In-house testing
Usually covers English first. Few teams have native speakers for every market or a consistent way to compare languages.
GlobeTune
Tests real conversations in each language, explains why they fail across six dimensions, and puts a monthly cost on each shortfall so you know what to fix first.
Who it's for
Right for you if…
- Your AI support assistant is live
- You serve customers in 3+ languages
- You track resolution or escalation rates
- Leadership expects AI to lower support costs
Not the right fit if…
- Your AI support is English-only
- You don't have an AI assistant live yet
How It Works
From blind spot to a clear fix plan
- 1
Scope
30-minute call to pick your top 3–5 languages and the support journeys that matter most.
- 2
Test & measure
We run realistic customer scenarios in each language, review samples of your real conversations, and score them across six dimensions with native-speaker experts.
- 3
Readout
You get a performance report by language, a cost estimate, root causes, and a clear plan to fix them.
How we evaluate: six dimensions, not just fluency
Language
Did it understand the request and respond clearly?
Market
Did it use the policies and information that apply to this customer?
Cultural context
Did it handle references and expectations appropriately?
Task completion
Did it actually solve the problem?
Grounding
Were its answers supported by the right sources?
Safety
Did it recognize risk, uncertainty, or the need for a human?
Native-speaker experts test and judge every language. AI helps us draft scenarios and speed up scoring, and experts check its work.
Made fixes or changed your model? See the Re-test offer in Pricing
Condensed preview of a real diagnostic.
Pricing
Simple scopes. Clear starting prices.
Starter
For startups and solo founders
from
$2,500
- 1 language
- 1 channel (chat or voice)
- 50 test scenarios
- Short report with fix plan
Growth
For startups and small teams
from
$5,000
- Up to 3 languages
- 1 channel
- 50 test scenarios per language
- 25 real conversations reviewed per language
- Full report, root causes, fix plan, and readout call
Custom
For more languages, channels, or volume
Custom quote
- 4+ languages
- Multiple channels
- Larger scenario sets
- Scoped timeline
Add-ons
Extra language
from +$1,300 per language (Growth scope)
Re-test
from $900 for 1 language, +$500 per extra language
Re-run the same scenarios after fixes or a model change to confirm what improved and catch anything that broke.
Prices are starting points. Final price depends on languages, channels, and number of test scenarios. Delivery timeline is agreed with you before work starts. Starter price counts toward Growth if you upgrade within 30 days.
See a sample report · Condensed preview of a real diagnostic.
About
Our mission
Make sure AI helps everyone equally well, whatever language they speak.
What GlobeTune is
GlobeTune is the quality layer for multilingual AI. We check if a company's AI chatbot gives customers the right answers in every language, not just English, so people everywhere get the same good help.
We combine native-speaker expert review with AI-assisted testing, and evaluate across six dimensions: language, market, cultural context, task completion, grounding, and safety. The result is a clear picture of where your AI performs, where it falls short, what that costs, and how to fix it.
Read our research: World Ready AIWho we are
Lyly Nana, Founder
Lyly is a bilingual English/French product and localization leader with 10+ years shipping global products across fintech, SaaS, gaming, and social media, at companies including PayPal, DocuSign, Meta, Microsoft, and Nintendo.
She is passionate about AI and its potential to serve people in every language and culture, and believes organizations should adopt it thoughtfully: with rigorous testing, transparency, and care for the people it serves.
She also writes World Ready AI, a Substack series on how to evaluate AI across languages, markets, and cultures, covering topics such as LLM-as-a-judge, multilingual benchmarks, and RAG evaluation.
FAQ
Questions, answered
Contact
Book a free 20-minute review
We'll test your live AI assistant in one language before the call and walk you through what we find. No system access needed.
Web Summit offer: free one-language test before the call for the first 10 bookings.
Prefer email? lylyinternational@gmail.com
- We test your assistant like a real customer
- You see real examples of where it falls short
- You leave with the first fixes to make