We built an AI-assisted recruitment platform that reviews applications against role requirements and explains why each candidate is a strong match. Recruiters spend their time on the people worth speaking to.
Client: Prime VaultsIndustry: HR TechService: AI & Automation
Overview
Client
Prime Vaults
High-volume recruitment team in HR Tech
Engagement snapshot
The challenge
The team received more than 10,000 applications a month, so it was impossible to give every CV the same attention.
Keyword filters were quick but often missed people with relevant experience who described it in different words. The team wanted a better first review, with recruiters still making the hiring decisions.
Qualified applicants could be overlooked because recruiters had no time to read every CV.
Two recruiters could read the same role requirements in different ways.
Good applicants could go to another employer before the first review was done.
The solution
The platform looks past exact keywords to find relevant experience, skills and career history.
AI checks each candidate against the role requirements and produces a consistent ranking for recruiters to review.
Each recommendation comes with a plain-English explanation, so recruiters can see why the candidate was put forward.
Key features
The AI reads CVs in context, recognizing relevant skills and experience even when the wording differs from the job description.
Business impact
90% less manual screening
Each candidate gets a ranked fit score with a plain-English reason, and recruiters make the final decision.
Business impact
45% more consistent evaluation
The platform recognises relevant experience even when the wording doesn't match the job description.
Business impact
Better candidate discovery
The same role criteria are applied to the whole applicant pool before a recruiter reviews it.
Business impact
More consistent decisions
Strong candidates surface quickly, so recruiters spend more time interviewing and less time sorting CVs.
Business impact
90% less screening work
Before and after
Before
Keyword filtering
Exact-word matching could miss transferable experience, or experience described in other words.
After
Matching on context
The platform weighs skills, experience and role context together.
Before
Depended on the recruiter
Screening standards varied between reviewers and locations.
After
Shared criteria
Every applicant is reviewed against the same core role requirements.
Before
Waiting in the queue
Applications sat in a recruiter's queue before anyone looked at them.
After
Immediate first pass
Candidates are ranked as soon as their application arrives.
Results
90% Less Manual Screening
AI now handles 90% of the first-pass review, leaving recruiters to focus on qualified candidates.
Before: Recruiter-HeavyAfter: 90% Automated
45% More Consistent Evaluation
A consistent first-stage review cut the variation caused by rushed or uneven screening.
Before: SubjectiveAfter: Data-Driven
Faster Time to Qualified Candidate
Applications are ranked as soon as they arrive, so the time to reach a qualified candidate fell from under 24 hours to under an hour.
Before: < 24 HoursAfter: < 1 Hour
Testimonial
“We handle 10,000+ applications a month and no longer carry a backlog. Manual screening is down 90%, qualified candidates surface in under an hour, and Coretus kept recruiters in charge of every final decision.”
George RiveraHead of Talent Acquisition, Prime VaultsKey results
Trust and control
Recruiters see why a candidate ranked highly, rather than relying on a hidden score.
EXPLAINABLESensitive candidate information is protected by controlled access and secure storage.
SECUREThe AI supports screening. Recruiters remain responsible for interview and hiring decisions.
HUMAN IN CONTROLThe client owns the custom screening workflows and software built for the project.
100% OWNEDFaster delivery
Reusing these tested parts kept setup short, so the team could focus on this client's role criteria and recruiter workflow, and launch sooner.
Our tested data protection layer puts every candidate record behind controlled access and secure storage.
Existing skills-matching components were the starting point for comparing CVs with role requirements beyond exact keywords.
Screening monitoring keeps track of rankings and processing across more than 10,000 applications a month.
Reliability components help keep candidate ranking under a second as new applications come in.
The platform reads each CV in context, looking past exact keywords to find relevant skills, experience and career history. It compares every candidate with the same role requirements, gives a fit score and ranks them in under a second. Each recommendation includes a plain-English explanation of why the candidate was put forward.
AI cut manual screening work by 90% for a team receiving more than 10,000 applications a month. First-stage reviews became 45% more consistent because every applicant is checked against the same criteria. The time to reach a qualified candidate fell from under 24 hours to under an hour.
Recruiters stay responsible for every interview and hiring decision. The AI only does the first-pass review: it ranks candidates against the role and explains each match, so recruiters see the reasoning instead of a hidden score. Candidate data is protected by controlled access and secure storage throughout.
If your recruiters can't read every application, we can build a first-pass review that ranks candidates against the role, explains each match and leaves the decision with your team.