Start from the role
Open the job or client requirement that needs a reviewed shortlist.
Create recruiter-reviewed shortlists with AI-assisted match context, candidate comparisons, notes, and submission-ready movement connected to ATS and CRM records.
Primary workflow
Match context to approved shortlist
Best fit
Candidate delivery teams
Core system
ATS shortlist review desk
Shortlist Review Desk
Match context, comparison notes, recruiter approval, and client-ready movement
Today
Suggested candidates
42
Possible shortlist candidates waiting for recruiter comparison
Shortlist review
9
Candidates needing evidence, notes, or approval before submission
Client-ready
6
Reviewed candidates ready for presentation or submission workflow
Open shortlist
Finance Manager | Client shortlist
Candidate comparison
AI-assisted shortlist context shows fit reasons, gaps, availability notes, salary context, and prior submission history.
Approval checkpoint
Recruiters review the evidence before approving candidates for client presentation or submission.
Next action
Compare suggested candidates, adjust shortlist notes, approve the final group, and move client-ready candidates into presentation or submission workflow.
AI shortlisting workflow
Use ATZ CRM to keep candidate fit, role requirements, recruiter notes, prior submissions, and client context visible while shortlists are built.
Open the job or client requirement that needs a reviewed shortlist.
Inspect AI-assisted match context, source records, notes, and prior activity.
Review strengths, gaps, availability, client fit, and submission history before selection.
Keep recruiter judgment in the loop before candidates become client-ready.
Send approved candidates into presentation, submission, client feedback, or follow-up workflow.
Why shortlist context matters
Recruiters need to compare candidate context, gaps, history, and client requirements before deciding which AI-assisted suggestions should become a shortlist.
See the shortlist workflowCandidate suggestions should include fit context, concerns, prior activity, and recruiter notes so the team can defend the shortlist.
Build shortlists from reviewable evidence.
Recruiters can adjust notes, remove weak fits, and approve the group before candidates move into presentation or submission.
Use AI support without weakening delivery quality.
Compare suggested candidates, edit shortlist notes, approve final selections, and move them to client-facing delivery.
Turn match context into a clean recruiter-approved shortlist.
Book this walkthroughAI shortlisting use cases
Use AI-assisted shortlist support to organize fit evidence while preserving recruiter review and client delivery quality.
Walk through the workflowCompare candidates against job criteria, client context, and prior activity.
Draft editable shortlist notes and fit summaries for recruiter review.
Check whether candidate records, CV context, and notes are ready for client-facing delivery.
Move approved shortlists into feedback, interview, or next-action workflows.
ATZ CRM supports AI-assisted recruiting workflows that keep recruiters in control. AI can help surface suggestions, drafts, summaries, match context, application review signals, and next-action ideas inside ATS and CRM records. Recruiters, agencies, and clients remain responsible for review, edits, candidate communication, screening judgment, submissions, hiring decisions, consent, compliance review, and final action.
Capabilities inside ATZ CRM
See how the recruiting desk connects candidate records, client conversations, outreach, placements, and reporting without sending the team through separate tools.
Keep candidate records, client accounts, activity history, notes, communication, submissions, and owner context connected.
View capabilityConnect AI-assisted review to jobs, applications, candidate stages, submissions, interviews, and placement movement.
View capabilityReview AI-assisted match signals with candidate, job, source, and activity context before recruiters decide the next action.
View capabilityUse AI-assisted application review to help recruiters inspect fit signals, gaps, and follow-up needs.
View capabilityPrepare recruiter-reviewed candidate submission support from candidate, job, CV, and client context.
View capabilityDraft recruiter-editable summaries, messages, job content, and follow-up copy from recruiting context.
View capabilityCreate editable email templates that recruiters can review before sending through outreach workflows.
View capabilityConnect People-Match AI matching support to recruiting workflows where configured for your agency.
View capabilityReview AI-assisted work, recruiter approvals, pipeline movement, follow-through, and desk activity in reporting views.
View capabilityExplore the broader automation workflow for AI-assisted matching, application review, outreach support, and recruiter approval.
View capabilityAI recruitment workflow cluster
Start with the parent AI recruiting workflow, then expand into CRM, screening, shortlisting, parsing, and recruiter-assistant pages as those routes go live.
AI workflow pages planned for this cluster
Related solution workflows
Review AI-assisted matching, screening, parsing, summaries, outreach drafts, and next-action suggestions across the agency desk.
Connect AI-assisted relationship context, notes, activity, summaries, and next steps to candidate and client CRM records.
Review application and candidate-screening signals with recruiter approval before advancing or rejecting anyone.
Build recruiter-reviewed shortlists with match reasons, comparison context, and client-ready next steps.
Turn resumes into cleaner candidate records and searchable context while recruiters check accuracy before action.
Use AI-assisted summaries, drafts, task suggestions, and follow-up prompts while recruiters stay in control.
What the walkthrough covers
See how a recruiter reviews suggested candidates, compares fit evidence, edits notes, and approves client-ready movement.
Recruitment teams use ATZ CRM for faster adoption, responsive support, and flexible agency workflows.
FAQ
AI candidate shortlisting software helps recruiters review suggested candidates, compare fit evidence, build shortlists, and approve client-ready movement.
No. Shortlists and submissions should remain recruiter-reviewed so candidate evidence, notes, and client context are checked before delivery.
Shortlist management software covers the broader process of building, tracking, approving, and submitting shortlists. AI candidate shortlisting focuses on AI-assisted fit evidence and recruiter review inside that workflow.
Yes. Recruiters should be able to edit shortlist notes, fit summaries, and client-facing context before approval or submission.