CV screening time reduced from 4 minutes to 30 seconds per CV, 4x screening throughput, zero qualified candidates missed in the pile.
Recruitment consultants are drowning in CVs. A single job posting on a major board can generate 150-300 applications within 48 hours, and a busy desk might have 10-15 live roles at any time. The math is brutal: at 4 minutes per CV, screening 200 applications for a single role takes over 13 hours of focused reading.
That is nearly two full working days spent on a task that, for most applications, results in a "no" within the first 30 seconds of human review. The cost is not just time -- it is opportunity. While a consultant is buried in CV screening, they are not sourcing passive candidates, nurturing client relationships, or closing placements. In contingency recruitment where revenue is entirely commission-driven, every hour spent on non-revenue activity is a direct cost.
Speed matters competitively. The agency that responds to a candidate application within an hour builds rapport and loyalty. When screening takes days, the best candidates have already accepted interviews elsewhere. In a tight market, slow screening is not just inefficient -- it is commercially damaging. Time-to-fill stretches, cost-per-hire increases, and pipeline velocity falls.
Tyler is your AI CV Screening specialist. He processes every application the moment it arrives in Greenhouse or Lever. He parses CVs regardless of format (PDF, Word, even image-based), extracts structured data, scores against the role specification using multi-dimensional analysis (skills match, experience depth, career trajectory, cultural indicators), and presents the consultant with a ranked shortlist complete with match rationale. At 8 AM Monday, you see: "412 applications processed across 14 open roles. 35 strong matches. Top 5 for Senior Product Manager role: [View Shortlist]."
That is why you need Tyler.
Each step is automated. Tyler only escalates when human judgment is required.
Tyler parses the CV regardless of format, extracting structured data: contact details, work history with tenure calculations, qualifications, technical and soft skills, certifications, location, and right-to-work indicators.
Tyler matches the extracted profile against the active role specification, scoring on must-have criteria (qualifications, experience years, location, right to work) and nice-to-have criteria (industry experience, specific tools, leadership indicators, cultural fit signals). Each score includes a plain-language match summary.
Tyler categorizes the candidate into tiers: Shortlist (85%+ match), Review (70-84% match), or Archive (below 70%), with a plain-language summary explaining the match reasoning and any gaps that might be worth exploring in an interview.
Tyler creates an enriched candidate record in the ATS with parsed data, match scores, suggested interview questions based on experience gaps or highlights, and a recommended outreach message. Consultant is notified via Slack: "4 new shortlist candidates for Senior PM role. Top match: 94%. [View All]"
Tyler sends a personalized acknowledgment email to the candidate referencing the specific role and their relevant experience. Archive-tier candidates are tagged in the ATS for potential future roles based on their skills profile.
Tyler escalates to the consultant with specific questions flagged for human follow-up. The candidate record is marked "Pending Human Review" in the ATS with detailed notes on what needs clarification.
Clear boundaries. Tyler works autonomously within defined limits and escalates everything else.
Tyler connects to the platforms you already use. No new software to learn.
Tyler is deployed gradually with measurable checkpoints at every stage.
Monitoring mode first, then gradual rollout.
Pilot screens 500 CVs for 5 active roles, running in parallel with human scoring. Week 1-2 Tyler-generated shortlists are compared against consultant shortlists for overlap and quality.
Full validation before production deployment.
These AI employees share data and coordinate with Tyler to cover your full operation.