An AI sourcing agent screens and matches candidates the moment a requirement opens, so your recruiters submit on more of the pipeline instead of triaging it.
The bottleneck in staffing is speed to submittal: good requirements go unbid because no recruiter can source and qualify fast enough to reach them all. An AI sourcing agent screens and matches candidates against each requirement the moment it comes in, assembles what the bid needs, and surfaces the matches worth a recruiter's call. We built exactly this for a staffing firm, and it tripled their bid submissions with the same team.
Good reqs go unbid because sourcing can't keep up with intake
Recruiters spend the day screening resumes instead of talking to candidates
Submittals lose to whoever got qualified candidates in first
Candidate data is scattered across the ATS, job boards, and inboxes
Practical systems that capture revenue, save hours, and show you the numbers — built inside the tools you already use, and yours to keep.
Screens and matches candidates against every open requirement as it lands, and surfaces the shortlist a recruiter should act on. This is the system behind our 3× bid-submission case.
Pulls together what each bid needs: matched candidates, formatted submittals, and the compliance items, so the firm submits in hours instead of days.
Keeps the bench warm with automated check-ins and availability updates, and matches finishing placements to the next open req before they go quiet.
Outcomes from delivered engagements. Figures are shared with client permission; see all of our work →
The questions operators actually ask before they start. If yours isn't here, the diagnostic is the place to ask it.
Start with a free discovery call to see if there's a fit. If there is, the next step is a paid diagnostic that puts scope, cost, and expected ROI in writing before any build begins — so you see the number before you commit. Most systems pay for themselves inside a year.
Yes. We build inside the ATS, VMS portals, and job boards you already use rather than replacing them. The integrations are mapped during the diagnostic.
Yes. It comes from a delivered engagement for a staffing firm: an AI sourcing agent that screens and matches candidates against open requirements, letting the same team submit on three times as many opportunities. We walk through the details on a call.
Most systems go live in weeks, not months. After the free discovery call, a paid diagnostic scopes the work with timeline and ROI in writing — and we don't disappear at launch. We operate and tune what we built as your business changes.
Why there's no honest sticker price, what actually drives the number, and how to know it will pay off before you commit.
Read the guide →TimelineWeeks, not months — what the phases actually are, what stretches a timeline, and how operators keep builds fast.
Read the guide →Built by operators who've run the businesses we build for — not a dev shop guessing at how your day works.
Builds and sells enterprise AI — production multi-agent systems, and a multicloud AI platform sold to CTOs — after 8+ years running digital product at Verizon and AT&T. Cornell MBA; author of The RAG Book.
Operator and product mind with a consulting background across strategy, partnerships, and go-to-market — a sharp eye for the lever that matters.
A free call to see exactly where AI pays off in your staffing business — and whether there's a fit. No pitch, no commitment.
Book a free discovery call(347) 424-2200 · hello@kilobytecollective.com