The problem with most "AI recruiting tools"
Every ATS vendor has shipped an "AI feature" in the last two years. CV parsers, candidate-rank widgets, mass-outreach autoresponders. Most of them sit one layer above the actual recruitment workflow and produce more noise than signal: a 500-candidate ranked list nobody reads, an autoresponder that scares qualified candidates off, a parser that misses the one skill the role actually needs.
Meanwhile recruiters still spend the majority of their day on conversation work. Initial outreach to a sourced profile. Qualifying questions on a fresh application. Scheduling a screen across three time zones. Status updates to candidates waiting on a decision. The recruiter is the bottleneck, and the tools around them do not absorb the conversation load. They generate more of it.
The cost of slow recruiter response is well-documented in industry research. SHRM benchmarks put the US average cost-per-hire at $4,129 per non-executive role (SHRM Benchmarking Report), and a meaningful slice of that goes to the time-to-hire delta that response speed drives. Faster candidate conversations, lower cost-per-hire, less ghosting.
How we build it differently
We ship a vertical AI recruiting agent built around your specific roles, your ICP, your ATS, and the channels your candidates actually use. The agent reads every inbound message (application form replies, LinkedIn DMs, email, WhatsApp where applicable), classifies intent (application, follow-up question, scheduling request, status check), pulls candidate history from your ATS, and either drafts a response for recruiter approval or sends it straight through under rules you define.
Routine cases flow without recruiter intervention: scheduling first-screens on a published calendar, sending status updates after pipeline stage changes, answering questions about the role from your job description. Edge cases (unusual experience, salary negotiation, technical role-fit questions) escalate to the recruiter with a one-screen summary of the candidate, the conversation so far, and a suggested response.
Tool use over pure prompting is a hard rule. The agent does not "decide" who is qualified, it calls a scoring function we wire to your ICP definition. Same for calendar availability, ATS status writes, and email send. Auditable, deterministic, and impossible to hallucinate a candidate into a phantom pipeline.
Multilingual support is native. Frontier language models handle EU languages out of the box, including code-switching between English and the candidate's preferred language. We have shipped multilingual systems for cross-border recruitment teams.
What we ship for a recruitment client
- Conversation reader: agent classifies intent on every candidate-side message (application, scheduling, status check, off-topic)
- Candidate memory: every applicant recognized by application history, role context, and prior conversations
- ICP scoring function: structured scoring against the role's real qualification criteria, returning a deterministic score the agent can quote
- Calendar scheduler: first-screen booking on recruiter calendars with timezone handling and rescheduling support
- ATS write-back: status updates, candidate notes, pipeline stage transitions sync into your existing ATS without manual data entry
- Recruiter dashboard: every active conversation visible in real time, one-tap takeover, one-tap return to the agent
- Multilingual conversation: native EU-language handling with code-switching support
- Optional: pre-screen mock interview that runs before any human recruiter time gets booked