Case Study · AI for Recruitment

AI Candidate Search and Recruitment Automation

An AI-assisted recruitment platform connected to the existing applicant tracking system. Resumes are turned into structured candidate profiles, recruiters search by describing the capabilities they need, and AI drafts summaries and job descriptions. Recruiters make every selection decision.

AI DevelopmentDocument AISystems Integration
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  • 18+ Years in Custom Software
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Summary

At a glance

Client
Recruitment business: applications, candidate databases and employer briefs
Industry
AI for Recruitment
The problem
Recruiters spent considerable time reading resumes, identifying relevant qualifications, searching historical applications and preparing candidate information for employers.
What we built
An AI-assisted recruitment platform, integrated with the existing applicant tracking and candidate management systems.
Systems and technology
Generative AI, Document AI, Semantic Search, ATS Integration
Results
  • Faster Candidate searches: recruiters locate relevant candidates across large databases by skills and experience.
  • Less reading Candidate information is extracted and structured automatically.
  • Reused Historical candidate profiles are easier to search and match with new vacancies.
  • Less admin Draft candidate summaries, job descriptions and communications reduce repetitive preparation work.
Client Context

Recruitment business: applications, candidate databases and employer briefs

A recruitment business receiving large volumes of applications and maintaining an extensive database of candidate profiles.

Its applicant tracking system depended heavily on exact keyword matching.

The Challenge

What needed to change

Recruiters spent considerable time reading resumes, identifying relevant qualifications, searching historical applications and preparing candidate information for employers.

Suitable candidates could be overlooked when searches relied on exact keywords.

The Solution

What we built

An AI-assisted recruitment platform, integrated with the existing applicant tracking and candidate management systems. Structured candidate information is extracted from resumes, and semantic search lets recruiters find candidates by describing the capabilities they need. Human recruiters remain responsible for assessing suitability, reviewing potential bias and making selection decisions.

Resume extraction

Extracts structured candidate information from resumes: experience, skills, qualifications and employment history.

Semantic search

Recruiters find candidates with a natural-language description of the capabilities required, not exact keywords alone.

Historical database matching

Past candidate profiles become easier to search and match with new vacancies.

Drafting support

AI assists with job descriptions, candidate summaries and recruitment administration.

ATS integration

Works with the existing applicant tracking and candidate management systems.

Built with:
Generative AIDocument AISemantic SearchATS Integration
Results

What changed

Faster Candidate searches: recruiters locate relevant candidates across large databases by skills and experience.
Less reading Candidate information is extracted and structured automatically.
Reused Historical candidate profiles are easier to search and match with new vacancies.
Less admin Draft candidate summaries, job descriptions and communications reduce repetitive preparation work.
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Kasun Wijayamanna, founder of HELLO PEOPLE

Kasun Wijayamanna, founderYou deal with Kasun from scope to delivery. No account managers and no offshore handoff.