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custom-application-development
Human Resources & Staffing

AI-Assisted Recruitment Platform for a Staffing Agency


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Overview

What we built

A staffing agency was losing strong candidates because manual CV screening took days. We built it a custom recruitment platform that reads, scores and shortlists applications in hours.

In plain terms: the agency received more than 500 job applications every week, and its recruiters read them one by one. That reading consumed 70% of their working time and still took an average of 4 days to produce a shortlist. In recruitment, 4 days is a long time; by the time the agency called its best candidates, competitors had often placed them already. The people hired to build relationships and close placements were doing paperwork instead.

We built the agency a custom applicant tracking system that does the reading first. Incoming CVs are parsed and scored automatically against a rubric the agency controls, candidates hear back through automated communication templates, interviews book themselves through calendar sync, and clients review shortlists in their own portal. Time-to-shortlist fell from 4 days to under 6 hours, recruiter admin time dropped by 65%, the placement rate improved by 28%, and the agency grew from 500 to 1,200 applications a week without adding headcount.

The Problem

Recruiters buried in manual screening

The agency's pipeline started with volume: 500+ applications arriving every week across the roles it was hired to fill. Every one of those CVs passed through a recruiter's hands, read, judged and sorted manually. That screening work absorbed 70% of recruiter time, crowding out the interviewing, reference-taking and client conversations that actually produce placements and revenue for a staffing business.

Speed was the sharper problem. Time-to-shortlist averaged 4 days, and the strongest candidates rarely waited that long. They were interviewing everywhere at once, and the agencies that responded within hours placed them first. This agency was, in effect, paying its recruiters to read their way out of contention for the very candidates its clients most wanted to hire.

The manual process had no consistent standard either. Each recruiter applied their own sense of what a good match looked like, so the same CV could be shortlisted by one desk and rejected by another. Clients, meanwhile, waited on email threads for shortlists, with no place of their own to review candidates or respond when it suited them.

Screening swallowed the week

Reading 500+ applications by hand consumed 70% of recruiter time, leaving a fraction of the week for the client work that produces placements.

Slow shortlists

Time-to-shortlist averaged 4 days, long enough for competing agencies to contact, interview and place the strongest candidates before the first call was made.

Inconsistent matching

Every recruiter screened by personal judgement rather than a shared rubric, so match quality varied desk by desk and strong candidates slipped through on busy days.

Clients kept waiting

Shortlists travelled by email and phone, with no shared place for clients to review candidates, leave feedback or see where a role stood.

What it was costing them

The arithmetic was unforgiving. With 70% of recruiter time spent on screening, the agency was paying skilled consultants to do clerical work, and the 4 day shortlist lag meant the best candidates went to faster competitors. Growth was capped too: every additional application added reading time, so taking on more clients meant hiring more recruiters simply to keep up with the inbox.

The Solution

Custom ATS with AI screening

We built a custom applicant tracking system shaped around the agency's own way of working, rather than forcing its desks onto generic software. At the centre sits AI-assisted CV parsing and scoring: every incoming application is read by the system, its details extracted, and a match score produced against the role's requirements before a recruiter ever opens the file.

The scoring rubric is configurable, so the agency, not a software vendor, decides what a strong match means for each role and can tune it as clients' needs change. Around that core we automated the repetitive edges of the job: candidate communication runs on templates triggered at each stage, and interview scheduling syncs with recruiter and candidate calendars instead of being negotiated over email.

The client side got its own front door: a portal where clients review shortlists, examine scored candidates and respond directly, replacing the email threads that used to carry every list. Recruiters now start their day with a ranked queue instead of an unsorted pile, and spend their recovered hours on interviews and client relationships.

Key decisions

01

Score before a human reads

Every CV is parsed and scored on arrival, so recruiters open a ranked queue rather than an unsorted inbox and spend their judgement where it matters.

02

A rubric the agency controls

Match scoring runs on a configurable rubric rather than a black box, letting the agency define, inspect and adjust what a good candidate means for each role.

03

Automate the conversation admin

Candidate communication templates and calendar-synced interview scheduling removed the chase-up emails and diary negotiation that used to consume recruiter hours between every decision.

04

Give clients a portal

Clients review shortlists and scored candidates in their own portal, shortening feedback loops and taking recruiters out of the middle of every exchange.

05

Keep humans on the final call

Scores rank and filter, but recruiters make every shortlist decision, keeping accountability for placements with people while the system removes the reading burden.

Measurable Impact

What changed after launch

Time-to-shortlist fell from an average of 4 days to under 6 hours, which changed the agency's competitive position: it now reaches strong candidates while they are still available. Recruiter admin time dropped by 65%, and the recovered hours moved into interviews and client work. The placement rate improved by 28% as better candidate-to-role matching fed through to offers.

The clearest proof came with growth. The agency scaled from 500 to 1,200 applications per week with the same team headcount, because volume now lands on the system rather than on the recruiters. Screening quality no longer depends on which desk a CV reaches, and clients see their shortlists in one place instead of chasing them through an inbox.

Shortlist speed

An average of 4 days per shortlist

Under 6 hours from application to shortlist

Recruiter time

70% of the week on manual screening

Admin down 65%, focus back on placements

Weekly volume

500+ applications straining the team

1,200 applications per week with the same headcount

Client experience

Shortlists sent through email threads

A portal for shortlist review and feedback

Headline results

Time-to-shortlist reduced from 4 days to under 6 hours

Recruiter admin time reduced by 65%

Placement rate improved by 28% due to better candidate-to-role matching

Agency scaled from 500 to 1,200 applications per week with the same team headcount

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