Vacancies stack up, candidate databases go stale and recruiters drown in CVs and inbox admin. We build AI that reads your ATS and CRM (parsing CVs, surfacing the right candidates for each vacancy and forecasting demand) so your team spends its time on people, not paperwork.
Last updated: 8 September 2026
AI helps recruitment and staffing agencies fill roles faster and cut admin by reading their ATS and CRM data. Concrete uses include CV parsing and candidate matching, screening and shortlisting support, hiring-demand forecasting and workforce planning, and candidate and client chatbots. Because recruitment AI is high-risk under the EU AI Act, Crux Digits builds it assistive and auditable at fixed prices, human-in-the-loop, for agencies in the Netherlands and the EU.
Where it pays off
Four places the work lands, described in the systems and rules you already work with. Every one of these is a build we would scope, price and hand over running.
CVs, open applications and intake notes turned into structured candidate records inside the ATS you already run. Parsing is the easy half; keeping the record clean enough to search two years later is the work.
Matching that explains why a candidate surfaced, against the vacancy text and the intake, so a recruiter can check it rather than trust it. Selection stays with a person: automated candidate ranking is high-risk territory under the EU AI Act.
Placement history, client seasonality and pipeline read together to see where next month is short. For staffing firms the admission regime under the Wtta makes accurate registration a licensing matter, not just a planning one.
Assistants that answer the repeat questions about hours, contracts, payslips and availability, in the tone your consultants use. The point is response time on the questions that keep a candidate warm between placements.
Recruitment and staffing run on high-volume, repetitive matching (reading every CV, mapping skills to vacancies, chasing candidates and clients) across databases far too large to work through by hand. AI is good at exactly this: turning ATS, CRM and vacancy data into shortlists and signals faster than any manual sweep, while a recruiter stays in charge of the decision.
It also comes with real responsibility. AI that influences hiring or selection is classified high-risk under Annex III of the EU AI Act, so bias monitoring, transparency, human oversight and documentation are not optional. We build recruitment AI to be assistive and auditable from day one: the model ranks and suggests, your recruiters decide, and every step is logged.
Extract skills, roles and experience from CVs and match candidates to vacancies by fit, not just keyword overlap.
Rank and cluster applicants to help recruiters build a shortlist faster, human-in-the-loop, never an automatic reject.
Forecast hiring demand and staffing needs from historical placements, seasonality and client pipelines to plan sourcing ahead.
Automate intake, FAQs and pre-screening questions in Dutch and English so candidates get answers and recruiters get structured data.
Spot flight-risk placements early and match ending contracts to new assignments to keep good people working.
Optimise shift, roster and placement planning against skills, availability and location to fill assignments with less friction.
We map where AI pays back first, your ATS, VMS, CRM data and the roles you fill most.
By the second call you get a working prototype on your own vacancies and candidate data, not a spec.
We integrate with your ATS, VMS and CRM so matches and signals reach recruiters where they already work.
We track results against your baseline and monitor for bias and drift so the model stays accurate and compliant.
Mostly data you already have. CVs, vacancies, placement history and notes in your ATS or CRM. We start with what's there; the richer and cleaner your historical matching data, the better the model gets. We never need more personal data than the task requires.
Yes: we integrate with common applicant-tracking, vendor-management and CRM systems so parsing, matches and signals appear inside your existing workflow, not in a separate tool your recruiters have to check.
We measure every model against a clear baseline on your own placements and report honestly, if it doesn't beat your current process, we say so. Matching is decision support: it ranks and suggests, your recruiters judge fit and make the call.
Yes: AI used for recruitment or selection is classified high-risk under Annex III of the EU AI Act, which means bias monitoring, transparency, human oversight and documentation are mandatory. We build for that from day one: the system stays assistive and human-in-the-loop, decisions are logged, and we help you keep the records the Act requires.
We can. Crux Digits is a boutique applied-AI firm based in the Utrecht region, working remotely or on-site with recruitment agencies, staffing firms and in-house TA teams across the Netherlands and the EU. We are a small, senior hands-on team, not a large consultancy, with practical experience across matching, forecasting and language models. We work in Dutch and English, founded in 2022.
We start with a short paid discovery to scope one real problem (matching, screening support or forecasting), then deliver at a fixed price with you owning the code and IP. On data and compliance: your candidate and client data stays yours; we apply data minimisation, keep it within the EU, and treat recruitment AI as high-risk under the EU AI Act, with bias monitoring, transparency and documentation built in. We keep a human in the loop rather than letting a model decide who gets hired.
Tell us where recruiters lose time or good candidates slip through: we'll map a path to value in a free consultation.
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