Screening that hears every accent
See exactly how ATS Mako AI voice screening understands accented and non-English callers, switches to their language or a text, and hands off to a recruiter before anyone gets dropped.
No setup fees, no long-term contracts. Included on the Great White Shark plan.
The fear is always the same: "An automated screen will never understand me." It is the reason a qualified, accented, or non-native caller hangs up, and the reason recruiters hesitate to turn screening on at all. The good news is that a modern AI voice screen is not a rigid phone menu. It listens across accents, confirms when it is unsure, and hands off to a human before anyone gets dropped.
This is how ATS Mako AI voice screening handles accented and non-English callers, and how to set it up so speed never costs you a hire you should have made.
What candidates actually fear on an AI call
Every one of these worries has a concrete answer in how the screen is built. Name them, then design around them.
"Will it even understand my accent?"
This is the number one fear a candidate has when a screening call is automated. Modern speech recognition is trained on a wide range of accents and speaking styles, so a strong accent is far less of a barrier than it was a few years ago. The AI voice agent is built to listen, confirm, and re-ask rather than guess, which is exactly what keeps an accented caller in the pipeline instead of dropping them.
"What if I speak too fast, or pause to think?"
Real people restart sentences, hesitate, and talk over the prompt. The screen is designed to wait for the caller to finish, not to cut them off at the first silence. When an answer is unclear, it asks the caller to repeat or rephrase in plain language instead of marking the response as failed.
"I am more comfortable in another language."
A candidate who is nervous in English can lose a role they are perfectly qualified for. The point of screening is to learn whether someone can do the job, not to test their English under pressure. That is why language flexibility, not a single rigid script, is the right default for high-volume hiring.
"What if the AI gets it wrong?"
A screen should never be a dead end. When the agent is not confident it understood a caller, the answer is a clean handoff to a recruiter and a full transcript, not a silent rejection. The candidate keeps moving forward; the recruiter gets context.
How AI voice screening handles accents and languages
Five behaviors decide whether an automated screen is fair to an accented or multilingual caller. ATS Mako is built around all five.
It listens across accents, not against one
The AI voice agent that calls candidates on ATS Mako is built to recognize a broad range of accents and speaking patterns. It transcribes what the caller says, matches it to the answer you asked for, and moves on. A regional or non-native accent is treated as normal speech to interpret, not an error to reject.
It confirms instead of assuming
When a response is ambiguous, the agent asks the caller to confirm or repeat rather than recording a wrong answer. That single behavior is what protects accented callers most: a screen that re-asks keeps a qualified candidate in the pipeline where a rigid IVR would have dropped them.
It scripts questions in plain, simple language
You control the screening questions. Short, concrete questions with one idea each are easier for every caller, and dramatically easier for a non-native speaker. Ask "Are you available for weekend shifts?" not a compound sentence with three clauses, and the AI, the candidate, and your data all get cleaner.
It writes every call into the pipeline
AI Voice Calls feed results straight into the ATS Mako pipeline. A recruiter can read the transcript, see how the candidate answered, and pick up any call the AI flagged as unclear. Nothing about an accent gets lost between the phone and the applicant record.
It hands off to a human on low confidence
The right design for a fair screen is a fallback, not a failure. When the agent is not confident it understood a caller, that candidate should be routed to a recruiter for a quick human touch instead of being auto-declined. Set that rule once and it protects every accented and multilingual caller who comes after.
Three ways to screen in the right language
You are not stuck with one script for everyone. Match the screen to the candidate, at the volume you already run.
Ask the qualifying questions in the language of the role
If the job is done in English, screen the must-have criteria in English but keep the questions short and literal so an accent or nerves never hide a qualified candidate. If a role is bilingual, screen for the language the work actually requires and let the agent verify it directly.
Run AI Call Campaigns across a language-based audience
AI Call Campaigns run AI phone-screening across an entire candidate segment. Build an audience by language preference or by source, then run the right script for that group instead of forcing one script onto everyone.
Pair the call with SMS in the candidate's preferred channel
Not every candidate wants to answer questions out loud in a second language. ATS Mako pairs AI voice with two-way SMS, so a caller who is more confident in writing can finish qualifying by text and still land in the same pipeline.
A rigid IVR drops them. A real screen keeps them.
The difference between losing an accented candidate and moving them forward is in the setup, not the accent.
| Scenario | Legacy phone menu | ATS Mako AI voice screen |
|---|---|---|
| Accented caller | Rejected when the menu misreads the answer | Interpreted, confirmed, and kept in the pipeline |
| Unclear answer | Silent fail or dropped call | Re-ask, then human handoff with a transcript |
| Preferred language | One rigid script for everyone | Language-based segments and AI Call Campaigns |
| Prefers to write | No alternative to the phone | Switch to two-way SMS in the same pipeline |
| Recruiter visibility | A pass/fail flag with no context | Full transcript and result on the applicant record |
Six steps to a screen that is fast and fair
Set these once and every accented and multilingual caller after them is protected.
Write questions a non-native speaker can answer easily
One idea per question. Concrete over abstract. Yes or no where you can. Simple, literal wording helps accented and multilingual callers just as much as it sharpens your screening data - it is the single highest-leverage change you can make.
Turn on the low-confidence handoff before you launch
Decide up front what happens when the AI is unsure: route the candidate to a recruiter with the transcript attached. Never let an unclear call become an automatic decline. This is the guardrail that keeps an automated screen fair.
Offer a text alternative in the same flow
Give every candidate an easy way to switch to SMS if the call is not working for them. A conversational inbox catches the reply, and the candidate keeps their place in the pipeline instead of dropping out.
Review flagged transcripts, not just pass/fail
Read the calls the AI marked unclear. That review tells you whether your questions are too complex, whether a script needs a plainer rewrite, and which qualified candidates a stricter setup would have lost.
Segment by language and run the right campaign
Group candidates who share a language preference and run an AI Call Campaign built for them. Right script, right language, right expectations - at the same volume you already handle.
Stay compliant on every automated call and text
Automated outreach is regulated. Capture lawful prior consent, keep a clear opt-out on SMS, and honor quiet hours so a screening call or text lands when it can actually be answered and never crosses a line.
Accents, languages, and automated screening
Can AI voice screening understand a strong accent?
In most cases, yes. The AI voice agent that calls candidates on ATS Mako is built on speech recognition trained across a wide range of accents and speaking styles, so a strong regional or non-native accent is treated as normal speech to interpret rather than an error. Just as important, the agent is designed to confirm and re-ask when an answer is ambiguous instead of guessing, which is what actually keeps an accented caller in the pipeline. When it is still not confident, the right setup routes that candidate to a recruiter with a full transcript rather than auto-declining them.
What happens if the AI cannot understand a caller?
A screen should never be a dead end. The recommended design is a low-confidence handoff: when the agent is not sure it understood a response, that candidate is routed to a recruiter for a quick human touch, and the transcript comes with them. The candidate keeps moving forward and the recruiter gets the context to finish the screen. You set this rule once and it protects every accented and multilingual caller after it.
Can it screen candidates who prefer another language?
You control the questions, and the best practice for high-volume hiring is to screen for the language the role actually requires, in short and literal wording, so nerves or an accent never hide a qualified person. For bilingual roles you can verify the required language directly. You can also build audiences by language preference and run AI Call Campaigns with the right script for each group, so you are not forcing one script onto everyone.
Is an automated screen fair to non-native speakers?
It can be more fair than a rushed manual screen when it is set up correctly. Plain, one-idea questions help non-native speakers as much as they sharpen your data, the confirm-and-re-ask behavior prevents wrong answers from being recorded, a human handoff catches anything the AI is unsure about, and a text alternative gives candidates who prefer writing a way to finish. Reviewing flagged transcripts also shows you exactly where a script is too complex so you can fix it.
Where does AI voice screening live in ATS Mako?
AI Voice and Call Screening is part of the AI and Candidates toolset alongside AI candidate ranking and resume parsing. AI Voice Calls place the screening call and feed the result into your pipeline, and AI Call Campaigns run screening across an entire candidate segment. It is included on the Great White Shark plan with an AI voice agent and 1,000 AI voice minutes; additional usage is billed per minute.
Can a candidate finish screening by text instead of a call?
Yes. ATS Mako pairs AI voice with two-way SMS and a centralized conversational inbox, so a candidate who is more comfortable writing, or in a second language, can qualify by text and land in the same pipeline as everyone else. Offer that option inside the same flow and you keep candidates who would otherwise drop off a voice-only screen.
Screen every caller. Drop no one.
Put AI voice screening, two-way SMS, and a human handoff on one white-label platform, so an accent or a second language never costs you a qualified hire.
Designed for speed. Built for scale. Included on the Great White Shark plan.