HexaHire: AI-First Hiring & Interview Automation Platform

Case Study: AI Engineering & Recruitment Workflow Transformation

HexaHire is an AI-native hiring automation platform designed to radically streamline and elevate recruitment.
Traditionally, resume screening and interviews required significant manual effort, inconsistent evaluations, and slow turnaround times. HexaHire replaces these fragmented processes with end-to-end AI-driven hiring orchestration—from JD creation to resume scoring to autonomous interviews and final candidate scoring.

With AI-augmented engineering and maintenance, Hexaview delivered HexaHire as a production-ready, scalable hiring platform that accelerates recruitment cycles by more than 80%, ensures consistent candidate evaluation, and reduces the dependency on human interviewers.

The Challenge

Job descriptions varied widely in quality and lacked measurable, structured rubrics.
Resume screening required hours of manual effort and remained prone to bias or inconsistency.
Scheduling and conducting interviews slowed down hiring pipelines.
Hiring managers needed objective, explainable scoring across resumes and interviews.
Maintaining evaluation quality across hundreds of candidates was extremely challenging.

The AI-Enabled Solution

AI-Powered JD Creation

Hiring managers create structured JDs with defined rubrics, skills, competencies, and scoring parameters.
AI ensures standardization, clarity, and measurability.

Resume Upload & LLM Scoring

Recruiters upload candidate resumes against a selected JD.
LLM evaluates candidates across JD rubrics using:
- Skill match analysis
- Experience relevance
- Competency coverage
- Resume quality and domain alignment
Only candidates meeting the JD threshold are advanced.

AI Agent–Led Interviews

For shortlisted candidates, an AI voice agent automatically conducts the interview.
The agent tailors questions using:
- Job description rubric
- Resume content
- Past interview responses

Structured Post-Interview Evaluation

The AI agent generates scores across factors like:
- Technical depth
- Communication
- Behavioral competence
- Problem-solving
- Culture fit
It produces a detailed evaluation transcript and rationale.

Final AI Verdict

A combined score is produced from:
- Resume evaluation (LLM scoring)
- Interview performance (agent scoring)
The hiring manager receives:
- Overall score
- Individual rubric scores
- Strengths, weaknesses, and risks
- Final hire/no-hire recommendation

The Journey: Building HexaHire with AI Engineering

AI-Enabled SDLC: Built using 8-phase, AI-augmented development cycles.
Artifacts Generated Using AI:
- PRDs, Tech Specs, Rubric Frameworks
- API & Test Case Generation
- UX Flows and system guardrails
AI Interview Agent Pipeline:
- Human-in-the-loop refinement
- Continuous scoring improvements
- Multi-model orchestration for reliability
End-to-End Maintenance Automation:
- Test generation, bug triage, and auto-documentation
- AI-assisted regression testing
- Deployment pipelines with GitHub Actions, SonarQube, and OWASP compliance

Key Features

1. JD Builder with Rubrics

Create structured, measurable job descriptions.
Define scoring parameters, competencies, and priorities.

2. Resume Evaluation Engine

LLM-based scoring aligned to JD rubrics.
Automated candidate shortlisting.

3. AI-Driven Autonomous Interviews

Dynamic, conversational interviews tailored to each candidate.
Questions generated in real-time from JD + resume.

4. Structured Scoring & Insights

Multi-factor scoring across technical and soft skills.
Explanation-based scoring ensures transparency.

5. Final Recommendation Engine

Aggregates resume + interview scores.
Provides an objective hire/no-hire verdict.

6. Maintenance & Scalability

Vibe Maintenance for automated documentation & onboarding.
Easily scalable to thousands of candidate evaluations monthly.

Maintenance Revolution: Vibe Maintenance

Before: Manual KT, manual scoring, inconsistent interviewer judgment.
After:
- AI-generated documentation for all workflows
- 1-week onboarding time
- Auto-generated test cases
- 4x faster issue resolution
- Transparent evaluation logs for compliance