Case studies

AI Hiring Copilot

Recruiting is full of repetitive cognitive work — reading the same resume sections, writing the same interview questions, formatting the same reports. Clarifit automates the routine so recruiters can focus on the actual conversation.

Problem

Inconsistent candidate evaluation across the team, skill gaps missed during screening, and 30+ minutes of manual work per candidate.

Solution

A Next.js app with 4 AI modules (OpenAI + Google APIs) that supports the recruiter at every stage — from resume to final report.

Clarifit — CV assessment tab: job description, role title, candidate CV, client brief, what to check, and assessment strictness

How it works

1

Resume Evaluation

Parses the resume and scores it against the job description — highlights skill matches, gaps, and risk zones.

2

Interview Planning

Generates a structured interview plan with topic blocks and suggested time allocation based on the role.

3

Transcript Analysis

Processes the interview transcript and extracts key answers, competency signals, and red flags.

4

Structured Report

Produces a structured candidate report ready to share with hiring managers — one click.

Clarifit — interview plan tab: the same inputs plus seniority and up to four company values

23 min

saved per candidate

~46 h

hours saved per month

552

candidates processed in pilot

Clarifit — transcript analysis tab: paste the interview transcript, then analyse it, generate an ATS comment, or draft a rejection note
Clarifit product modes — the three modes that cover the hiring loop end to end
CV assessment module — hard and soft skill analysis, flagged risks, and what to probe at interview
Interview plan module — a sectioned interview structure with questions and timing
Transcript analysis module — verdict, a comment ready for the ATS, and a rejection note
How it is built — the stack and architecture behind the app