An AI agent that interviews candidates in their language
and scores them before a recruiter opens the chat

Where recruiter hours disappear

A staffing agency working labor migration or cross-border placement gets candidates writing at all hours, often in a language the on-duty recruiter does not speak fluently. They ask the same first-round questions: what is the role, what does it pay, what documents are needed, am I eligible. Answering these consistently, in the candidate’s own language, at odd hours, is hard to staff for by hand. A small recruiting team ends up burning out the people trying. Industry estimates put 30 to 50 percent of a recruiter’s time in high-volume staffing work into first-round screening and repetitive intake questions. That time comes directly out of the hours available for the judgment calls a recruiter is actually paid to make.

Scoring consistency is the second problem. Two recruiters screening the same type of candidate will weigh experience, language ability and documentation differently. That depends on mood, fatigue and how many interviews they have already done that day. That inconsistency stays invisible until a client complains that one placement worked out and a similar one did not. Nobody can say why the two candidates were screened differently, because the only record of the decision was a recruiter’s impression, not a written score.

Pipeline waste comes third: a candidate who does not fit today’s opening is often simply lost. Nobody has time to record and revisit a rejected or unmatched application when the next opening appears weeks later.

There is a documentation layer underneath all of this, specific to cross-border staffing. Eligibility for a given role often depends on work permits, certifications or language test scores. Those need to be collected and verified before a candidate can even be considered. Chasing them by hand through a chat thread is slow, and easy to lose track of. Agencies handling large candidate volumes manually also tend to see response time stretch to hours or days during busy periods. In labor migration recruiting, a candidate who gets no quick response often applies to a competing agency instead. Slow intake is a direct loss of pipeline to whoever answers first.

What the agent handles for your agency

A first-round interview agent. It asks your standard screening questions in the candidate’s own language. It follows up on vague answers and collects the documentation and eligibility details your agency requires.

Consistent scoring, with protected traits excluded. Experience, language ability, availability and documentation completeness get scored against the same rubric for every candidate. The rubric excludes protected characteristics and gets a periodic bias check. It never varies by which recruiter happened to be online. A candidate is told upfront that AI assists with this first-round screening.

An approve or reject summary, in seconds. A recruiter gets a scored summary with the key facts and a recommendation, instead of reading a full transcript. One button lets them approve, reject, or flag it for a closer look.

A recorded pipeline, not a lost one. Every candidate gets scored and stored, matched or not. When a new opening appears, your team can search existing candidates instead of starting from zero.

Escalation for what the agent should not decide. Borderline eligibility questions go to a human recruiter. So does anything legally sensitive about documentation, or any candidate the agent cannot confidently score. The full conversation goes with the handoff.

Integration with your existing systems. We connect to the ATS or CRM your agency already runs. Or we build a lightweight candidate database and live panel, if you are currently working from spreadsheets and chat history.

Document collection, built into the conversation. The agent asks for the specific documents and certifications a role requires. It checks that what was submitted looks complete. It flags missing or unclear items, instead of passing an incomplete file to a recruiter as if it were ready.

Weeks 1 to 4: how we build it

1. Week 1: screening criteria and playbook. We sit with your recruiters and collect the questions they actually ask. That becomes the agent’s interview script and scoring rubric.
2. Week 1-2: channel and language setup. We connect Telegram and WhatsApp (or your preferred channels) and configure the languages your candidate pool writes in.
3. Week 2-3: build and internal testing. The agent runs against recorded past candidate conversations to check scoring consistency against what your recruiters actually decided.
4. Week 3: soft launch. The agent screens a subset of incoming candidates while recruiters review every summary against the full transcript.
5. Week 3-4: full launch and tuning. Full rollout, with two weeks of close review and rubric adjustment included in the package.

What it costs

Prices follow the AI agent service packages. The exact figure depends on how many languages, channels and role types your agency screens for.

What agencies typically see

Staffing agencies automating first-round screening typically see recruiter time on repetitive intake drop from that 30 to 50 percent range. That time goes back into actual candidate evaluation and client management, though the effect size depends on candidate volume and role complexity. Candidate intake coverage commonly becomes continuous across time zones, instead of tied to recruiter working hours. That matters most for agencies recruiting across borders, where candidates and clients rarely share a time zone. Scoring consistency typically improves once every candidate is measured against the same written rubric, instead of an individual recruiter’s judgment on a given day. It also makes it easier to explain a rejection to a client or a candidate who asks why. Our own numbers are in the case studies linked below.

Why work with us

• We built exactly this kind of intake and scoring logic for a staffing agency’s live recruitment bot. The same playbook discipline runs a certification body’s outreach agent.
• The agent has a closed set of tools and a written rubric your team can read and challenge, not a black box score nobody can explain.
• Pricing is fixed before work starts, with a working demo every week.
• After launch we keep tuning the rubric and interview script with you for two weeks as part of the package.
• We build the scoring rubric with your recruiters, not around them. The agent reflects judgment your team already trusts, not a generic model of what a good candidate looks like.

An intake agent handles the first round. Many agencies pair it with an analytics dashboard tracking funnel stages and time-to-fill. Or look at the broader AI agents and automation service for what else can run the same way.

Tell us about your screening process and the languages your candidates write in. We will send back a fixed price and a two-to-four-week plan: get in touch.