Recruiters spend significant time manually searching candidate databases, screening resumes, and contacting candidates who may not fit the role or may not respond. This slows hiring and creates inconsistency across branches.

Labor markets are competitive, candidate platforms are increasingly digital, and AI can help recruiters expand the funnel while keeping humans focused on high-value decisions.

A recruiter copilot where the recruiter defines vacancy requirements, the system searches and imports candidate profiles from approved sources, scores each candidate with an explanation, creates a shortlist, and sends compliant primary outreach to high-fit candidates before recruiter review.

• Start with resume parsing and inbound application scoring.
• Add proactive search from hh.uz and LinkedIn where legally and technically permitted.
• Generate explainable shortlists for recruiters.
• Automate first-contact messages and interest confirmation.
• Create standardized scoring rubrics for different branches and roles.

• HR-tech or AI automation team
• Experience with resume parsing, candidate matching, and scoring
• Understanding of privacy, consent, and fair hiring practices
• Ability to build explainable AI and recruiter-friendly UX

• Vacancy requirement form
• Candidate profile import or manual upload
• Resume parsing and structured candidate profile
• AI scoring with explanation
• Shortlist generation
• Candidate outreach template generation
• Recruiter review and status tracking

• Primary screening time decreases from days to hours.
• Recruiters receive a ranked shortlist with clear reasoning.
• Candidate outreach becomes faster and more consistent.
• The system reduces recruiter workload without removing final human decision-making.

• Avoid discriminatory or opaque scoring.
• Respect platform terms, candidate privacy, and outreach consent requirements.
• AI recommendations must be explainable and editable by recruiters.