Sourcing is commoditised. Match quality + speed is the new differentiator.
Job-board AI has commoditised sourcing volume. Recruiters who survive own the relationship layer — and use AI to deliver match quality (not just match volume) faster than anyone else. Time-to-shortlist drops from 5 days to under one. Placement fee stays. Renewal rate goes up.
Performance benchmarks
How AI-augmented staffing firms compare on the metrics that determine fill rate and economics.
What leading firms are doing
Industry examples from publicly reported initiatives — not Xamun projects.
- ✓ Skills-based matching beyond keyword search
- ✓ Internal-mobility and rediscovery use cases
- ✓ Adopted by Fortune 500 staffing buyers
- ✓ Video-interview scoring with bias controls
- ✓ Game-based and SJT assessments
- ✓ Enterprise compliance posture
- ✓ AI-drafted role specs and messages
- ✓ Predictive candidate response models
- ✓ Standard infrastructure for sourcers
- ✓ Auto-engagement and screening chatbots
- ✓ Calendar and intake automation
- ✓ Used by mid-market staffing firms globally
The transformation opportunity
What changes when a mid-market firm in this segment deploys AI across the engagement lifecycle.
- ✗ Time-to-shortlist 4-7 days
- ✗ Recruiter handles 8-12 active reqs
- ✗ Submit-to-interview 20-25%
- ✗ Fill rate 55-65%
- ✗ Manual screening calls on every candidate
- ✗ Renewal rate 60-70%
- ✓ Time-to-shortlist <1 day
- ✓ Recruiter handles 30-40 active reqs
- ✓ Submit-to-interview 50%+
- ✓ Fill rate 90%+
- ✓ AI-screened shortlist; recruiter does relationship work
- ✓ Renewal rate 95%+ via outcome quality
The AI system stack
Designed to integrate with Bullhorn, JobAdder, Vincere, Greenhouse, or your bespoke ATS/CRM.
AI extraction of skills, experience, and culture signals from CVs and job specs. Matches by capability, not keyword.
Conversational screening, scheduling, and follow-up — handled by AI. Recruiter sees only qualified, interested candidates.
AI-driven reference collection, sentiment analysis, and red-flag detection. Compliance-friendly, audit-trailed.
AI co-pilot guides recruiter through intake brief, sourcing strategy, submission, interview, offer — every step instrumented.
Time-to-fill, quality of hire, retention at 90/180/365 days. Supports outcome-based pricing and renewal conversations.
Reactivate dormant candidates and surface internal-mobility opportunities. Drives placements without new sourcing cost.
We build it, run it with your team — and you pay per placement made.
No upfront CAPEX — we invest the build ourselves. Once it’s live, you pay a small toll per candidate placed the system processes: a small fraction of the value each one creates. A slow month means a small invoice; if it doesn’t run, you don’t pay.
We’re not a vendor shipping software into your operation. For the operation we run, we’re part of your company — in your numbers every week, paid only as they move. Where placements aren’t the honest measure, we price it as a fixed project instead; the accountability doesn’t change, only how you pay.
How Xamun delivers
From intelligence to production in weeks. Built as your IP, not someone else's SaaS lock-in.
Benchmarks your engagement-economics, leverage ratio, and outcome posture against AI-augmented leaders. Maps the highest-impact AI plays first.
AI co-pilots, outcome platforms, and proprietary knowledge engines — integrated with your existing systems. Owned by you. Migratable. Defensible IP.
Intelligence assessment in 2 weeks. First module live in 6-8 weeks. Full stack across one practice within 12 weeks. Outcomes tracked from Day 1.
Reposition before pricing-per-CV becomes the only game
Book a discovery call to map where AI can lift recruiter capacity 2-3x, cut time-to-shortlist to under a day, and lock in clients on quality of hire — not volume of submissions. No upfront cost — you pay only when the system runs.
Book a Discovery →