Applicant AI is an AI-powered applicant tracking system (ATS) whose core purpose is to automatically pre-screen job applicants, scoring them based on their resumes (CVs) and job descriptions, thereby helping recruiting teams find suitable candidates faster.
Main capabilities:
- Automatic pre-screening: AI scores applicants based on resumes and job descriptions, quickly identifying high-quality candidates.
- Accelerated review: It is officially claimed to make reviewing applicants 10 times faster and reduce screening time by 80%.
- Filtering low-quality applications: It acts as a "firewall," filtering out applications and cover letters that are identical because they were AI-generated.
- Integration with existing ATSs: If a company already uses Greenhouse, Lever, Workable, or another ATS, Applicant AI can be used as a pre-screening layer, with only high-scoring candidates entering the existing ATS.
- Free ATS features: It provides a complete ATS, including a branded company careers page, job clarification questions, application forms, recruitment pipeline stage management (rejection, preselection, assessment, interview), customizable automatic rejection email templates, and interview invitations.
How it is used:
- Users receive a customized Applicant AI form link that includes questions.
- Each applicant fills out the form.
- Applicant AI scores each applicant.
- If the score is high enough, the applicant is redirected to the company's existing ATS, ensuring that only strong candidates enter the subsequent process.
- Even if they do not pass screening, the company can still access all applicants.
Use cases:
- Recruiting teams that need to handle a large number of applicants.
- Companies that already use another ATS but want to add a pre-screening step.
- Recruiters who want to reduce manual screening time and focus on high-quality candidates.
Limitations and compliance:
- Applicant AI assists rather than replaces human decision-making, prioritizing candidates whose resumes and cover letters closely match the job description.
- The design intent complies with the AI Act's requirements for high-risk areas such as employment, namely supporting human decision-making and minimizing unfair or biased outcomes.
- More information on pricing, specific platform support details, data security measures, and similar matters is not yet provided.
