For NHS Trusts & Healthcare Recruiters

AI CV Screening for the NHS — Scored Against NHS Values

CVSense® AI CV Screening scores every NHS applicant against the six NHS Constitution values, the NHS People Promise, Agenda for Change bands and the role's essential criteria — in minutes, not days. UK-hosted. GDPR-compliant. Free to start.

CVSense® Proprietary Technology

We don’t keyword-match. We interrogate.

CVSense® Evidence-Based Skill Validation (EBSV) is our proprietary screening engine. Instead of counting keywords like a legacy ATS, EBSV interrogates every CV against the job description and classifies each skill as evidenced, claimed without evidence, ormissing — so your shortlist is built on proof, not buzzwords.

Evidence-based scoring

Every claimed skill is cross-checked against the candidate’s own experience, projects and outcomes — not just job titles.

Tri-state classification

EBSV labels each required skill as Evidenced, Claimed or Missing — giving recruiters a defensible, audit-ready shortlist rationale.

False-skill detection

EBSV detects CVs that pad keyword density without supporting context — cutting CV fraud and keyword-stuffing from your pipeline.

Built for NHS recruitment realities

Evidence-Based Skill Validation

CVSense® EBSV interrogates every NHS CV against the JD and classifies each required skill as Evidenced, Claimed or Missing — so your shortlist is defensible and audit-ready.

Scored against NHS Constitution values

Configure scoring against the six NHS values — working together for patients, respect & dignity, commitment to quality of care, compassion, improving lives, everyone counts.

NHS People Promise aligned

Add the NHS People Promise themes (we are compassionate & inclusive, recognised & rewarded, learning & developing, etc.) to your screening rubric so cultural fit is scored alongside skills.

Agenda for Change aware

Score candidates against the right NHS band — Band 2 through Band 8c — using essential and desirable criteria you control.

Handles huge applicant pools

NHS roles routinely attract 100–500+ applications. CVSense scores every CV against your job description in minutes — not days.

UK-hosted & GDPR-ready

Candidate data is stored and processed in the UK in line with UK GDPR — see our public AI Ethical Policy for bias mitigation, human-in-the-loop and transparency safeguards.

How NHS recruiters screen CVs with CVSense

  1. 1

    Paste your NHS job description

    Drop in the JD, essential and desirable criteria, the band, and the NHS values you'll screen against.

  2. 2

    Upload CVs in bulk

    Drag and drop hundreds of CVs at once — PDF or DOCX, exported from your existing system.

  3. 3

    AI scores every candidate on evidence

    CVSense® EBSV scores each CV against the role with a clear evidence-based breakdown and written reasoning.

  4. 4

    Shortlist & export

    Download a ranked, evidence-backed shortlist as CSV — ready to share with the panel or import into your existing workflow.

FAQs from NHS recruiters

Can CVSense be used by NHS trusts?+

Yes. CVSense is suitable for NHS trusts, NHS banks and healthcare recruiters. It is UK-hosted, GDPR-compliant and supports screening against NHS job descriptions, Agenda for Change bands, the six NHS Constitution values and the NHS People Promise.

Does CVSense replace NHS Jobs or TRAC?+

No — CVSense doesn't replace your existing NHS Jobs or TRAC workflow. It sits alongside it as the AI screening layer: export CVs from your system, drag-and-drop them into CVSense, get an evidence-scored shortlist in minutes, then download as CSV to share with your panel. CVSense® AI CV Screening scores every NHS applicant against the six NHS Constitution values, the NHS People Promise, Agenda for Change bands and the role's essential criteria — in minutes, not days. UK-hosted. GDPR-compliant. Free to start.

Is candidate data stored in the UK?+

Yes. CVSense data is hosted in UK data centres and processed in line with UK GDPR. See our Privacy Policy and AI Ethical Policy for full details.

Shortlist your next NHS role on evidence, not keywords

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