SUCCESS STORIES
Human Resources
+27,000 employees
Europe
70% reduction in initial CV screening time
50% reduction in time-to-shortlist
60% reduction in recruiter administrative workload
Challenges
Recruitment teams manage large volumes of candidate information and repetitive activities, particularly during the early stages of the hiring process.
Although the organization had an extensive existing talent database, finding the right candidates for each new vacancy could require significant manual effort.
Key challenges included:
Large volumes of CVs requiring initial review
Time-consuming searches across the existing candidate database
Manual comparison of candidate profiles against job requirements
Repetitive candidate outreach and first-stage screening
Recruiters repeatedly asking the same qualification questions
Manual recording and structuring of candidate responses
Delays between receiving a vacancy and contacting relevant candidates
Manual interview scheduling and calendar coordination
Recruiter capacity being consumed by administrative activities
Limited ability to scale recruitment activity without increasing workload
Solution
The organization partnered with Mplus to deploy Graia AI-powered recruitment solutions, combining AI talent matching with an AI Recruitment Officer to support the early recruitment funnel.
Rather than starting every vacancy with a manual search and screening process, AI helps recruiters identify potentially relevant candidates from the existing talent pool and supports the repetitive activities required to move qualified candidates toward the next stage.
The deployment included:
AI Talent Matching Assistant to identify potentially relevant candidates based on job requirements
AI-powered search across the existing candidate database
Candidate matching based on experience, skills, seniority, qualifications, languages and other defined criteria
AI Recruitment Officer for initial candidate engagement and screening
Automated first-round conversations tailored to specific vacancies
Rule-based qualification support comparing candidate responses against predefined recruitment criteria
Structured collection of candidate responses and qualification information
AI-supported comparison of candidate responses against predefined recruitment criteria
Automated interview scheduling and candidate confirmations
Structured recommendations highlighting whether candidates appear to meet defined requirements
Candidate reactivation to identify suitable talent already present in the database
Human-in-the-loop workflows keeping recruiters in control of candidate evaluation and hiring decisions
The solution supports the recruitment process from talent discovery and candidate engagement through initial screening and scheduling, while leaving deeper assessment and final hiring decisions with human recruiters.
Impact
The AI-powered recruitment solution reduced the amount of manual work required during the early stages of recruitment while helping recruiters identify and engage suitable candidates faster.
Instead of spending significant time searching CVs, conducting repetitive screening calls and coordinating interview calendars, recruiters receive more structured and relevant candidate information before moving into the next stage.
Key outcomes included:
70% reduction in initial CV screening time
50% reduction in time-to-shortlist
60% reduction in recruiter administrative workload across initial screening and scheduling
Faster identification of potentially suitable candidates from the existing talent database
Earlier candidate engagement, reducing delays between candidate identification and first contact
More structured candidate information available for recruiter review
Reduced manual scheduling and coordination work
Greater recruiter capacity to manage candidates and vacancies
Increased ability to activate and reuse existing candidate relationships
A scalable AI-supported recruitment model for higher-volume hiring
Mplus helped the HR and recruitment provider move from a predominantly manual early-stage recruitment process to an AI-supported talent acquisition workflow.
Rather than replacing recruiters, Graia takes on repetitive activities such as candidate matching, initial outreach, screening and scheduling, while recruiters remain responsible for candidate evaluation, relationship building and hiring decisions.
This creates a clear division of roles: AI accelerates the process, while recruiters provide the human expertise.
By making the existing candidate database more searchable and actionable, the solution also helps the organization get more value from candidates it already knows.
The result is a faster and more scalable recruitment operation, with less administrative work, quicker shortlists and more recruiter time available for the candidates and clients that matter most.
Let's talk about custom solutions for your business.
Our expert team is here to assist.