Transparent candidate sourcing and shortlist workbench

Reduce manual screening and coordination while keeping every match decision explainable and recruiter-approved. For recruiters and hiring managers filling repeated role types, convert authorized role requirements, candidate profiles, assessment results and hiring constraints into recruiter-approved shortlists linked to evidence. The benefit is a testable hypothesis, measured through accepted shortlists per recruiter hour and corrections after interview; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect authorized role requirements, candidate profiles, assessment results and hiring constraints, then follow this sequence: 1. Source candidates from authorized channels. 2. Screen and evaluate candidate profiles. 3. Match candidates to role requirements and preferences. Resolve uncertain cases with qualified reviewers, approve recruiter-approved shortlists linked to evidence, and measure accepted shortlists per recruiter hour and corrections after interview against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate matches and shortlist drafts for the stated task modules. Use deterministic code for scoring rules, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed role family and authorized sourcing channels; final hiring decisions and employment terms remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve candidate privacy, source attribution, evidence accuracy and data permissions. Recruiters approve substantive match decisions and hiring scope. One fixed role family and authorized sourcing channels; final hiring decisions and employment terms remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One fixed role family and authorized sourcing channels; final hiring decisions and employment terms remain human. Implement one approved input format, a bounded representative case set and the first two task modules: source candidates from authorized channels; screen and evaluate candidate profiles. Support the third module with operator review: match candidates to role requirements and preferences. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Applicant tracking systems, calendar and scheduling tools, Slack, assessment providers and authorized sourcing channels. Start with file exchange and validate destination specifications before promising direct ATS write-back. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Role brief and constraints, Editable shortlist preview, Candidate evidence and delivery. Use a thumbnail gallery for open roles, a large central shortlist canvas, and a right-hand panel for evidence, constraints and comments. Let users compare candidates side by side. Display draft, changes requested and approved states. Provide a hiring-manager preview link with comments anchored to the relevant candidate. Make the task-specific outcome recruiter-approved shortlists linked to evidence visible beside its review state, override history and value baseline.