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AI-Driven Candidate Evaluation

The shortlist writes itself.

Two hundred applicants, one great role, and a Friday afternoon. Onbordo reads every CV the moment it arrives, summarises it, scores it against your requirements and ranks the pile — so you start with the top of it.

Reasoning always visible Human makes every decision
app.onbordo.com/evaluation
Backend Engineer — Payments 203 applicants · ranked 41 seconds after posting closed ✳ RE-RANK #1#2#3 Yusuf Demir Ingrid Halvorsen Pauline Mercier 8y payments infra at scale · led PSD2 migration · gap: no team lead experience Staff engineer, marketplaces · strong distributed systems · notice period 3 months 6y fintech · deep fraud-detection work · relocating to Berlin in June Istanbul · via LinkedIn Oslo · via Indeed Paris · via career site 97 93 88 198 of 203 parsed and scored. 5 need a human eye. Handwritten CV, two career-changers, two portfolio-only applications — nothing auto-rejected.
What's inside

Three engines, one shortlist.

Automated Resume Summaries

Every CV condensed to a paragraph that matters: strengths, experience gaps, key achievements. Read twenty candidates in the time one PDF used to take.

Smart Job Matching Score

A machine-learning score of compatibility against your specific requirements — weighted by what the role actually needs, not by keyword bingo.

Intelligent Screening & Filtering

Applicants parsed and ranked automatically by skills, experience level and your custom criteria. Edge cases are flagged for review — never silently dropped.

Transparent by design

AI you can defend — to candidates, works councils and regulators.

Hiring AI carries real obligations. Onbordo was designed for them: every score is explainable, every decision is human, and every action is logged.

  • a.

    Reasoning, not a black box

    Click any score and see exactly which requirements drove it — evidence quoted from the CV itself.

  • b.

    Human-in-the-loop, always

    The AI ranks and recommends. Advancing or rejecting a candidate is always a person's click, and the audit log shows whose.

  • c.

    Regulation-ready by design

    Documentation, bias monitoring and candidate transparency notices built in — ready for the scrutiny hiring tools face.

Why did Yusuf score 97? CLOSE ✕ ✓ Payments infrastructure — 8 years "…built and operated card acquiring stack processing €2.1B/yr…" — CV, p.1 ✓ PSD2 / regulatory experience "…led the PSD2 SCA migration across 14 markets…" — CV, p.2 ✓ Scale requirement met Role asks 1M+ tx/day; candidate references 4M tx/day peak. △ Team leadership — partial Mentored 3 engineers; no formal lead role. Weighted −3 per your rubric. DECISION LOG 14:02 — Scored by Onbordo AI (model v4.2, rubric "Backend-PAY-2026") 14:31 — Advanced to Screened by M. Weber (human decision) 14:31 — Candidate notified: AI-assisted evaluation disclosure sent EXPORT AUDIT TRAIL
The difference isn't that the AI is clever — it's that it shows its work. When a candidate asks why, we have an answer. When our works council asks how, we have a document.
IK
Ines KrämerPeople Director, Nordwind — Hamburg
We rescored six months of past applicants when a new role opened. The first hire came from that pool — sourcing cost: zero.
OA
Omar Al-RashidTalent Lead, Atlaslane — Dubai
Module 03

Read every CV.
Open almost none.