Screen resumes faster. Keep recruiters focused on finalists.
AI-powered resume screening with Skills Graph matching, contextual evaluation, ATS integration, and recruiter-in-the-loop controls. Save 70-80% of first-pass screening time.
High-volume candidate triage
For teams receiving hundreds of CVs per week, the system parses resumes, extracts structured experience data, and prioritises the top candidates before a recruiter ever opens the inbox.
Skills Graph matching
Instead of matching only raw keywords, the system maps job needs to adjacent tools, frameworks, certifications, and role depth using a Skills Graph so good candidates are not missed due to phrasing differences.
Contextual evaluation
The scoring engine evaluates context: recency of experience, project complexity, industry relevance, leadership level, and must-have criteria. This reduces false positives from simplistic keyword-only filters.
Recruiter-ready shortlist
Recruiters get a ranked shortlist with score explanations, candidate summaries, and escalation flags. Most teams save 70-80% of first-pass screening time without losing human control.
What you get
- Resume parsing and candidate profile extraction
- Skills Graph matching against job requirements
- Contextual evaluation of experience, seniority, and domain fit
- ATS, spreadsheet, and email integration
- Shortlist ranking with recruiter-in-the-loop review
- Bias guardrails, audit trails, and scoring transparency
- Bulk screening for high-volume roles
- Recruiter dashboards and weekly hiring reports
Why this outperforms keyword-only screening
The quality difference comes from structured evaluation, not just faster parsing. The workflow ranks candidates against real hiring context while preserving recruiter oversight.
Skills Graph matching
Captures equivalent and adjacent experience instead of only exact keyword matches.
Contextual evaluation
Weighs recency, seniority, project scale, and industry fit before ranking a candidate.
Recruiter control
Maintains override control, scoring visibility, and audit history for every screening decision.
Delivery process
Hiring workflow audit
We map your current screening process, ATS stack, role types, rejection rules, and recruiter bottlenecks.
Scoring model design
We define must-haves, nice-to-haves, red flags, ranking thresholds, and evaluation logic per role family.
Skills Graph setup
We configure domain-specific skill relationships so the system can interpret equivalent technologies and adjacent experience correctly.
Integration build
We connect resume sources, ATS tools, email inboxes, or spreadsheets into one screening pipeline with full event logging.
Contextual evaluation testing
We test the system against real historical resumes and calibrate shortlist quality before production rollout.
Launch and recruiter training
We deploy the workflow, document review rules, and train recruiters on exception handling and feedback loops.
FAQs
How much recruiter time can AI-powered resume screening save?
Most hiring teams save 70-80% of first-pass screening time because the system automatically parses resumes, filters clear mismatches, ranks strong candidates, and prepares recruiter-ready summaries before manual review begins.
What is the difference between keyword filtering and contextual evaluation?
Keyword filtering only checks whether exact terms appear on a CV. Contextual evaluation assesses the relevance, recency, seniority, project depth, industry fit, and adjacent skills around those terms. It produces better shortlists and fewer false positives.
What is a Skills Graph in hiring automation?
A Skills Graph maps relationships between tools, frameworks, domains, and role capabilities. In hiring, it helps the system understand that equivalent or adjacent experience can still satisfy a role requirement even if the candidate used different wording on the resume.
Can this integrate with our ATS or spreadsheet-based hiring workflow?
Yes. We integrate with ATS tools, email-driven hiring processes, shared spreadsheets, and custom recruiter dashboards so candidate data flows into the systems your team already uses.
Do recruiters stay in control of the shortlist?
Yes. The system is designed for recruiter-in-the-loop review. You set thresholds, review ranked candidates, override decisions when needed, and maintain an audit trail for compliance and quality control.
Turn resume overload into a ranked shortlist.
We design and deploy AI-powered screening workflows that connect to your real hiring stack, stay auditable, and keep recruiters in control.