AiHire, Benchmark's AI native applicant tracking platform, automating resume screening, job description generation and candidate scoring for a high-volume staffing firm.
A leading India-based IT staffing and recruitment company places technology talent with enterprise clients across multiple industries.
The company wanted to streamline its recruitment process by automating resume screening, job description generation, and candidate evaluation, enabling faster, more consistent hiring while providing greater visibility into the recruitment pipeline.
The company runs high volume recruitment for technical roles, from developers to data engineers.
Each role attracts hundreds of applicants, and every one needs to be screened, tested, and ranked.
Recruiters spent most of their day on repetitive work such as reading resumes, drafting questions, and scoring answers, leaving little time for candidate relationships.
Evaluation quality depended on which recruiter handled the role, and the tools in use gave no unified view of the hiring pipeline.
Every operational bottleneck reported was matched to the workstream(s) that resolved it.
High applicant volumes meant days of resume reading for every role.
PDF resumes converted into structured candidate data automatically.
Multiple choice and descriptive screening questions generated per role, with automatic scoring and fit ranking of candidates.
Candidate assessment varied between recruiters, making results inconsistent and hard to defend.
Multiple choice and descriptive screening questions generated per role, with automatic scoring and fit ranking of candidates.
Job descriptions and screening questions were drafted from scratch for every role.
Complete job descriptions generated from a short brief, ready to review and publish.
Applications, tests, and interviews lived in separate tools with no single view of progress.
Job lifecycle management, candidate profiles, applications, and a drag and drop pipeline in one place, with role based access for admins, recruiters, and candidates.
Where AI was used, prompts were locked in code and could not be tuned by the team.
Admin editable prompt templates and full usage logging, with a mock mode that runs without an API key. Built on NestJS, MySQL, Next.js, React, and OpenAI GPT 4o.
Automated parsing, screening, and ranking compressed screening from days to hours.
Every candidate was scored against the same criteria, improving quality and defensibility.
Time freed from repetitive drafting and scoring went into candidate and client engagement.
Recruiters and hiring managers tracked every role and candidate in a single system.
Recruitment leads tuned prompts themselves as roles and needs evolved.
Recruiter capacity likely increased, allowing more roles to be handled without additional headcount.
