Recruiting & Staffing
You already sourced the perfect candidate two years ago. Your AI should resurface them before you re-post the job board.
In one line
Every staffing agency sits on its most valuable asset and re-buys it every week. Your ATS holds thousands of candidates you already screened, interviewed, and placed — yet when a new req lands, recruiters open a job board and source from zero, because old records are impossible to search by fit rather than keyword. The candidate who was perfect but a month too early, the contractor whose assignment just ended, the silver-medalist who lost by a hair — they're all in there, invisible. Your fastest placement is usually the one already in your own database.
The economics of the desk make this expensive. Staffing is a speed-to-submit business: the agency that puts a qualified, well-packaged candidate in front of the client first usually wins, and Bullhorn's annual GRID industry reports have consistently ranked redeployment and candidate re-engagement among the highest-leverage, most under-used levers on the desk. Meanwhile recruiters lose hours a day to work that isn't recruiting — writing up interview notes, formatting submittals, and chasing timesheets and expiring credentials by hand.
Plenaura builds the system that turns your own history into your fastest source. We put machine-learning matching over your ATS data so a new job order resurfaces the past candidates who actually fit — ranked and surfaced for a recruiter to decide, never auto-rejected. We structure interview notes into clean, client-ready submittals in your format, and build agentic compliance chasing that follows up on timesheets and expiring documents before they lapse. It's wired into your ATS, acting on live data instead of becoming another database to maintain.
The outcome is a desk that submits faster, redeploys more, and loses less margin to admin and compliance slips — from a system your team owns outright. It's built to assist recruiters, not replace their judgment: matching and scoring rank and surface candidates so a human makes every submit-and-place decision, which is also how you keep fairness and legal exposure in check. We ship the real product to production, on your infrastructure — you own every line of code. If an off-the-shelf tool already solves a slice of this, we'll tell you rather than overbuild.
What we can build for Recruiting
Matching over your own ATS history
Machine-learning matching that reads a new job order and resurfaces the past candidates in your database who genuinely fit — by skills, experience, location, and availability, not just keyword overlap. It ranks them for a recruiter to review and decide, so your fastest submittal often comes from candidates you already have.
Interview-note structuring & submittals
The system turns messy screen and interview notes — typed, dictated, or from a call — into a structured, client-ready submittal in your agency's format: summary, skills match to the req, availability, and rate. Recruiters review and send instead of retyping, so a good conversation becomes a polished packet in minutes.
Contractor compliance chasing
Agentic follow-up that tracks timesheets, certifications, right-to-work documents, and expiring credentials, then chases the contractor or manager automatically before anything lapses. It escalates the exceptions to your team rather than letting a missed timesheet or expired license quietly put a placement at risk.
Job-order intake & qualification
Inbound reqs get parsed the moment they arrive — pulling out skills, seniority, location, rate, and must-haves — and the system flags what's missing and drafts the clarifying questions that turn a vague order into a fillable one. Recruiters start from a qualified, structured req instead of decoding a two-line email from the client.
Candidate re-engagement & redeployment
When a contract is ending or a matching req opens, the system triggers timely re-engagement — surfacing warm, known candidates for outreach and firing redeployment alerts so a contractor rolls onto the next assignment instead of going cold. It keeps your existing talent working, which is the cheapest and fastest placement you can make.
Submittal-to-interview pipeline tracking
One live view of every open req: which submittals are out, which are waiting on client feedback, which have stalled, and what the next action is. Instead of a recruiter reconstructing status from memory and inbox threads, the system surfaces the stuck deals and nudges the follow-ups that move a submittal to an interview.
ATS integration & candidate communication
Native connection to your ATS (Bullhorn, JobDiva, Vincere, or a custom stack) so everything acts on your live candidate and job-order data and writes back into the system of record. Where useful, it drafts candidate communication at scale — updates, availability checks, follow-ups — with a recruiter controlling what goes out.
How we deliver it
Start with your database
We begin with the asset you already own — your ATS history — and the desk workflow around it: how reqs come in, how candidates get submitted, where time and placements leak. We build for how your recruiters actually work, not a generic sourcing tool, and we start with the piece that pays back fastest.
Surface for humans, don't decide
Matching and scoring rank and surface candidates for a recruiter to review; the system never auto-rejects a candidate or makes a hiring decision on its own. It's built to assist judgment and speed the desk, which is also how we keep fairness and legal exposure in check — the human stays in the loop on every call.
Connect to your ATS
We integrate directly into your ATS and the tools your desk runs on, so the system acts on live candidate and job-order data and writes back into your system of record — not another database to keep in sync. The intelligence lives where your recruiters already work.
Ship to production
Every engagement ends with a working system on real reqs and real candidates — not a demo or a slide deck. We roll out on a slice of the desk, measure the impact against your numbers, and expand once it's earning its keep, on a clear timeline agreed up front.
Hand over everything
You own 100% of the code, models, and pipelines, deployed under your brand on your infrastructure, with documentation and a handoff so your team can run and extend it. The candidate intelligence it builds is your proprietary asset, not something rented from a vendor.
What these systems are built to do
The kind of capability these systems give you — not client metrics.
AI for Recruiting — answered
Yes — ATS integration is part of the build, not an add-on. We connect to Bullhorn, JobDiva, Vincere, or a custom stack so matching, submittals, compliance, and pipeline tracking all act on your live candidate and job-order data and write back into your system of record. The goal is a system that works inside the tool your desk already lives in, not another database sitting beside it.
By keeping a human in the loop on every decision. The matching layer surfaces and ranks candidates for a recruiter to review — it never auto-rejects anyone or makes a hiring decision on its own. It's explicitly built to assist judgment, not replace it, which is the right posture both ethically and for legal exposure. We can also make the ranking factors transparent so recruiters see why a candidate surfaced, rather than trusting a black box.
Accurate enough to do the heavy lifting, with a recruiter as the final check. Matching resurfaces and ranks fitting candidates from your history for a human to review, and note structuring drafts a submittal you approve before it goes to the client — anything uncertain is flagged rather than silently guessed. The aim isn't zero humans; it's letting recruiters spend their time on judgment and relationships instead of searching and retyping.
No. It takes the non-recruiting work — searching the database, writing up notes, formatting submittals, chasing timesheets and credentials — off their plate so they spend time on candidates and clients. Placement is a relationship and judgment business; the system speeds the desk and surfaces options, but who to submit and who to place stays firmly with your recruiters.
It stays yours and stays protected. The system runs on your infrastructure under your brand, so candidate PII never has to leave your environment, and we design data-handling, retention, and access controls into the architecture rather than bolting them on. Because you own the deployment, you control exactly where candidate data lives and who can touch it.
You do — completely. You own 100% of the code, the models, and the data pipelines, deployed on your infrastructure with no per-seat platform fees and no lock-in. The matching intelligence and structured history the system builds from your own data are a proprietary asset for your agency, not something you rent — and we hand over documentation and a knowledge transfer so your team can maintain and extend it after we leave.
Related use cases
Other industries we build for
Let's build it for Recruiting.
Tell us the operation you want to transform. We'll map the system and scope it with you — or give you an honest no.