AI for HR agencies
You get paid to place people, not to chase resumes.
Recruiters lose roughly 14 hours every week to manual sourcing, screening, and admin that never reaches the client. AI handles the volume work so your team spends its time where placement fees are actually won.
faster time-to-hire
weeks to first value
lower cost-per-hire
The forces working against agencies right now
Roles are harder to fill, margins are thinner, and the manual work keeps growing faster than headcount.
Roles stay open too long
69% of employers report difficulty filling positions, and the average cost-per-hire sits at $5,475. Every extra week an opening lingers eats margin and erodes client trust.
Manual sourcing eats the week
Recruiters spend roughly 14 hours a week on Boolean strings, profile scanning, and outreach sequencing before a single candidate is shortlisted.
Screening creates a bottleneck
A 5-to-7-day delay between application and first contact means top candidates accept other offers before your team even reviews the pile.
Data left on the table
Only 31% of agencies use labor-market data to guide sourcing strategy. The rest rely on gut feel and stale pipelines, missing shifts in supply and demand.
What we hear
I use Boolean search eight hours a day, five days a week. And also at night. And on weekends.
By the time I have screened the pile, the best candidate already took another offer.
Half my day is admin the client never sees or pays for.
Six ways to win your week back
Each targets a real drain on your agency, from sourcing and screening to outreach and interview prep, plotted by the impact it creates against the effort to stand it up. Upper-left is the most return for the least lift.
Candidate sourcing
Recruiters spend the bulk of each day hunting profiles across multiple platforms.
Where a person stays. A recruiter still reviews every shortlist. The system surfaces candidates; people choose them.
Time-to-value estimates draw on published deployments and are indicative only. Every organization's data, systems, and starting point are different.
So, what would your agency do with a full extra workday each week?
The biggest cuts land on the high-volume, low-judgment tasks that grow with your req count, not your expertise. The parts that need a recruiter's instinct barely move.
Sourcing
Boolean search, profile scanning, shortlisting
Documentation & admin
Proposals, contracts, candidate summaries
Screening
Resume review, initial qualification
Reporting
Pipeline updates, client reports
Most agencies channel those hours straight back into candidate relationships and client development, the work that wins placements and can't be automated.
What tends to move
Faster time-to-hire
Sourcing and screening compress so candidates reach clients days sooner.
source ↗More screens per week
Automated resume parsing clears the queue so recruiters focus on conversations.
source ↗Workload reduction
Admin and sourcing shrink, freeing recruiters for the relationship work that closes roles.
Lower cost-per-hire
Fewer hours per placement and less time-to-fill translate directly to margin.
source ↗Ranges from published deployments and industry studies; your starting point sets where you land.
What would your agency do with a full extra workday each week?
Tell us how your recruitment runs today and we'll map where AI actually fits, and where it honestly doesn't, for your setup.