Helen AI Recruiter
Helen AI Recruiter
Hiring teams spend an average of 23 hours per week just sourcing and screening candidates, and 92% of applicants who start an online application never finish it. Helen is an AI recruiting agent that solves both problems at once. She conducts structured candidate screenings through natural conversation, assesses skills against your role requirements, generates personalized interview questions, and flags high-potential matches for your recruitment team. Instead of losing candidates to clunky application forms, Helen keeps them engaged with a real-time conversational experience that feels more like a preliminary interview than a bureaucratic process.
Helen AI Recruiter
Deploying an AI recruiting agent delivers measurable improvements across your hiring funnel.
Recruiters spend an estimated 23 hours per week on sourcing and screening activities. An AI recruiting agent like Helen handles the initial screening conversation, skills assessment, and candidate scoring automatically. Industry data from Ideal shows that AI-powered chatbots in recruitment can reduce screening time by up to 75%. For a recruitment team processing 500 applicants per open role, that translates to hundreds of hours reclaimed per quarter, time your recruiters can redirect to high-value activities like candidate relationship building and closing offers.
The recruitment industry's biggest hidden cost is application abandonment. According to Appcast, 92% of candidates who start an online application never finish it. Every abandoned application represents wasted sourcing spend and a potentially qualified candidate lost to a competitor. Conversational AI agents address this directly by replacing lengthy forms with a guided dialogue. Organizations using chatbot-driven application flows see completion rates climb from the 8-12% range to 25-40%, effectively tripling the number of candidates who make it through the top of the funnel.
The average time-to-fill an open position is 44 days according to SHRM, and every day a role sits vacant costs an estimated $4,129 in lost productivity. An AI recruiting agent compresses the early stages of the hiring pipeline by screening candidates in real time, scoring them instantly, and routing qualified applicants directly to interview scheduling. When the first agency or employer to respond wins the candidate 70% of the time, speed is not just a nice-to-have. Reducing time-to-hire by even one week across your open roles can save tens of thousands of dollars annually in vacancy costs alone.
Helen AI Recruiter
features
Purpose-built capabilities that address the specific bottlenecks in modern recruitment workflows.
Helen conducts conversational interviews that follow a structured evaluation framework you define. She asks about experience, qualifications, availability, and role-specific competencies in a natural dialogue format. Unlike a static application form, the conversation branches based on candidate responses. A candidate with 10 years of experience gets different follow-up questions than a recent graduate. This adaptive screening produces richer, more useful candidate profiles while maintaining evaluation consistency across hundreds of applicants.
The agent evaluates candidate responses against your predefined criteria and generates a structured assessment score. Each candidate receives a comparable rating across dimensions you care about, from technical proficiency and relevant experience to cultural fit indicators and availability. Recruiters spend an average of 23 hours per week on sourcing and screening. Automated scoring eliminates the most repetitive part of that workload and ensures that no qualified candidate gets lost in a pile of 200 resumes.
Based on how candidates respond during the screening, Helen generates tailored interview questions for the next stage. If a candidate mentions experience with a specific technology, the agent flags relevant deep-dive questions for the hiring manager. If a candidate's experience is thin in a particular area, it surfaces probing questions to explore that gap. Your interviewers walk into every conversation with a prepared, candidate-specific question set instead of a generic template.
Candidates who interact with a conversational AI agent complete their screening at significantly higher rates than those facing traditional application forms. Career site conversion rates jump from 8-12% with forms to 25-40% with conversational agents. Helen keeps candidates engaged with immediate responses, and when a candidate scores above your threshold, she can prompt them to book an interview slot right away. The time between application and first interview shrinks from days to minutes, which matters when top candidates accept offers within 10 days on average.
Helen AI Recruiter
Go from setup to live candidate screening in three steps, with no engineering resources required.
Helen AI Recruiter
FAQs
Helen is configurable for any role type. You define the screening criteria, qualifying questions, and scoring weights, so the same platform works whether you are hiring software engineers, customer service representatives, sales professionals, or executive leaders. The conversational flow adapts based on role requirements. A technical screening for a developer will branch into different questions than a screening for a marketing manager, all driven by the criteria you set during configuration.
Tars integrates natively with HubSpot, Salesforce, Google Sheets, and Slack for direct data delivery. For ATS-specific integrations like Greenhouse, Lever, or Workday, you can connect through Zapier or Make, which support hundreds of HR and recruitment platforms. Candidate screening data, scores, and assessment details flow automatically into your system of record without manual data entry. The Affinda integration also enables resume parsing if you want candidates to upload documents during the screening.
Tars is SOC 2 Type 2 compliant and GDPR compliant, ensuring that candidate data is encrypted in transit and at rest. For organizations with specific data residency requirements, Tars supports enterprise-grade security controls. The conversational screening follows a structured, consistent format for every candidate, which helps maintain compliance with equal employment opportunity guidelines by ensuring all applicants are asked the same baseline questions and evaluated against the same criteria.
Most organizations deploy a fully configured screening agent within a few hours. You define your role criteria, customize the conversational flow, connect your ATS or notification channels, and go live. There is no engineering work required. For enterprises with complex, multi-role hiring needs, the Tars team provides implementation support to configure screening flows across different job families and departments.
Yes. Unlike human recruiters who can only screen one candidate at a time, the AI agent handles unlimited concurrent screening conversations. This makes it particularly effective for high-volume hiring scenarios like seasonal retail staffing, campus recruitment drives, or call center scaling. Every candidate receives the same thorough, structured screening regardless of whether 10 or 10,000 people apply simultaneously. The agent scores each one against your criteria in real time and surfaces only the qualified candidates to your team.
The Tars platform provides analytics on screening completion rates, candidate scores and distributions, drop-off points in the conversation, time-to-complete, and channel performance. You can see which sourcing channels produce the highest-scoring candidates, where in the screening flow candidates disengage, and how your overall application-to-qualified-candidate conversion rate changes over time. These insights help you refine both your screening criteria and your upstream sourcing strategy.
No. Helen handles the repetitive, high-volume screening work that consumes the majority of a recruiter's time, specifically the initial qualification, skills assessment, and candidate scoring. Your human recruiters focus on the work that actually requires human judgment: evaluating culture fit in live conversations, negotiating offers, building candidate relationships, and making final hiring decisions. The AI agent makes your existing recruitment team more productive, it does not replace them.
Yes. The AI recruiting agent operates 24/7, which is particularly valuable given that many candidates browse job listings and apply during evenings and weekends. A candidate who discovers your opening at 11 PM can complete their screening immediately instead of waiting until Monday morning when they may have already moved on to another opportunity. According to industry data, 72% of users rank always-on availability as the top benefit of conversational AI, and in recruitment, that availability directly correlates with higher application completion rates.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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