CV Parsing & Candidate Scoring
AI parses CVs and scores candidates against the role, building a ranked shortlist.
Recruitment is a speed-and-volume game: the first agency to surface a strong, available candidate usually wins the placement. AI automation compresses the time from role to shortlist and makes the desk's performance visible.
If someone mentions any of these, it’s worth an introduction.
CV screening is slow and inconsistent; strong candidates get missed.
Interview scheduling involves endless back-and-forth.
Past candidates are forgotten and re-sourced from scratch.
Placement pipeline and desk performance are hard to measure.
No need to diagnose it. Just introduce them and we’ll take it from there.
AI parses CVs and scores candidates against the role, building a ranked shortlist.
Automated sourcing and matching from the database against open roles.
Automated scheduling with WhatsApp and email sequences.
A candidate CRM with automated nurture and re-engagement campaigns.
Recruiter, placement and client dashboards updating automatically.
A sales pipeline with placement and revenue forecasting.
An internal assistant for process, policy and playbook questions.
Automated placement invoicing and recruiter commission tracking.
How the pieces fit together once it’s running.
Requirements captured into the CRM/ATS.
AI shortlists and ranks candidates.
Interviews are booked automatically.
Status is shared via a live dashboard.
The placement is logged and an invoice raised.
Agencies working many roles with a sizeable candidate database.
Know one? Introduce them ↗Not sure? Introduce them anyway. We’ll tell them honestly.
Illustrative ranges to guide conversations, not guarantees. Results vary by business size, current systems, data quality and scope.
You don’t need to diagnose the problem. Introduce them to us and we’ll take it from there.