Applications are parsed and ranked, top candidates are messaged automatically, and interviews are booked into the calendar without back-and-forth.
Typical results
8 hrs
recruiter time saved per role
Under 5 min
for top candidates to hear back
100%
of applications parsed and ranked
0
strong applicants buried in the pile
Figures reflect typical results for this kind of automation.
The challenge
Recruiters were buried in applications, reading each CV by hand and playing email tag to book interviews.
Before and after
Recruiter hours per role on screening and scheduling
−80%Time until a top candidate hears back
−99%Top candidates contacted within the hour
9.5×The automation
Applications are now parsed and ranked against the role, the strongest candidates are messaged automatically, and interviews are booked straight into the calendar — no back-and-forth.
How it works
- 01
Application arrives
Every CV enters the pipeline the moment it is submitted — no inbox digging.
- 02
AI parses and ranks
Each application is read automatically and scored against the role's requirements.
- 03
Top candidates messaged
The strongest applicants receive a personal message within minutes.
- 04
Interview self-booked
Candidates pick a slot synced to the recruiter's live calendar — no email tag.
- 05
Recruiters focus on people
Hours return on every open role, and no strong applicant gets buried.
Starts from
- Applications
Delivers
- Candidate messages
- Interviews booked
The impact
Every open role gives the team hours back, top candidates hear from us within minutes, and no strong applicant gets buried.
Questions about this automation
How does the AI decide which applications rank highest?
Each CV is parsed into structured fields such as skills, years of experience, location and languages, then scored against the must-have and nice-to-have criteria set for the role. Recruiters see the score with the reasons behind it, can adjust the criteria at any time and always make the final call on who moves forward.
Where do applications come from, and where do the results go?
Applications can arrive from a careers page form, job-board notifications, a shared inbox or an ATS. The automation collects them in one pipeline, writes the parsed profile and score back to the ATS or a Google Sheets tracker, and sends top candidates a message by email or WhatsApp with a booking link.
What happens to candidates who score below the threshold?
Nothing is deleted or rejected automatically. Lower-scoring applications stay in the pipeline with their scores, and borderline cases can be flagged for a recruiter to review by hand. Rejection messages, if used, go out only after a recruiter confirms. Simple automations like this are usually live within days once the role criteria are agreed.