Job requirements and screening standards vary by recruiter.
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RECRUITMENT AGENT
AI Full-Cycle Recruitment Assistant
Support job profiling, CV parsing, candidate matching and interview preparation while keeping hiring decisions human.
FIT / BUSINESS ENTRY
Where it fits
Start with a bounded, verifiable workflow and keep human control at critical steps.
High CV volume makes initial review slow and difficult to audit.
Candidate tags, interview feedback and approvals are fragmented.
Past candidates are difficult to reuse across roles.
Efficiency must improve without removing human hiring judgment.
FLOW / CONTROLLED EXECUTION
Core workflow
Six steps connect business input to a reviewable, archived result.
Hiring request
Capture role, department, budget, timing and approvals.
Job profile
Structure responsibilities, hard requirements and risk factors.
CV parsing
Extract education, experience, skills and project evidence.
Match and rank
Explain fit, uncertainties and questions for review.
Interview support
Prepare questions and consolidate evaluation notes.
Talent reuse
Write candidate tags and follow-up status into the talent pool.
DEMO VIDEO
Sanitized walkthrough
The video shows product capabilities and interaction patterns without exposing client identity or access credentials.
DEMO SCOPE
What to look for
A reviewable recruitment workspace covering workforce requests, job profiles, CV parsing, candidate matching, interviews and talent-pool reuse.
- Job profile and JD generation
- Structured CV parsing and deduplication
- Explainable matching and risk flags
- Interview question and feedback summaries
AI CAPABILITY
Capability modules
Each module connects back to enterprise data, rules, permissions and human review.
Job profile and JD generation
Structured CV parsing and deduplication
Explainable matching and risk flags
Interview question and feedback summaries
Talent-pool tagging and reuse
DELIVERY BOUNDARY
Recommended first-release boundaries
Make the first release testable and reviewable before expanding integrations.
Controlled boundary
The system assists screening; it does not make automatic hire or reject decisions.
Controlled boundary
Candidate personal data is not used for model training by default.
Controlled boundary
Acceptance should measure parsing accuracy, explainability and review efficiency.
VALIDATE WITH YOUR DATA