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Automate Greenhouse candidate screening with AI

Swiftask integrates with Greenhouse to analyze, score, and sort every incoming CV. Identify top talent instantly, without manual work.

Resultat:

Drastically reduce screening time and accelerate your recruitment cycle.

Recruitment teams are overwhelmed by application volume

Hiring at scale generates a massive influx of CVs. Recruiters waste precious time reading unqualified profiles, delaying the review of relevant candidates. This bottleneck slows down hiring and degrades the candidate experience.

Les principaux impacts négatifs :

  • Time wasted on unqualified profiles: A significant portion of recruitment time is spent manually sorting through applications that do not meet base requirements.
  • Declining candidate responsiveness: Response times lengthen, risking the loss of top talent to competitors.
  • Unconscious selection bias: Decision fatigue during manual sorting increases the risk of overlooking qualified candidates due to lack of focus.

Swiftask deploys an AI agent that connects to your Greenhouse instance. It analyzes every CV upon receipt, compares it to your job description, and qualifies it automatically, allowing your recruiters to focus on high-value interviews.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

The recruiter receives a Greenhouse notification, opens the CV, reads it, compares experience against the job description, and manually notes it in the ATS. The process takes 5-10 minutes per candidate. For 100 applications, that's an entire day of work.

With Swiftask + Greenhouse

As soon as an application arrives, the AI agent analyzes it instantly, extracts key skills, assigns a relevance score, and adds a summary in Greenhouse. The recruiter only intervenes to validate the short-listed profiles.

Deploy your screening agent in 4 steps

ÉTAPE 1 : Define your criteria in Swiftask

Configure your agent with essential skills, years of experience, and keywords for each job opening.

ÉTAPE 2 : Connect your Greenhouse instance

Link Swiftask to Greenhouse via secure API. The agent accesses new applications in real time.

ÉTAPE 3 : Activate automatic analysis

The AI processes files, evaluates relevance, and updates the candidate profile in the ATS.

ÉTAPE 4 : Monitor and adjust

Review the dashboard to validate AI decisions and refine criteria if needed.

Advanced features for your recruiting needs

Semantic skill analysis, degree extraction, job-description-based scoring, and detection of key work experiences.

  • Connecteur cible : L'agent exécute les bonnes actions dans greenhouse job board selon le contexte de l'événement.
  • Actions automatisées : Automatic scoring, Greenhouse tag assignment, profile summarization, candidate note updates, and personalized recruiter alerts.
  • Gouvernance native : All AI actions are logged to ensure full transparency throughout the recruitment process.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-greenhouse-job-board@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Strategic benefits for your HR team

1. Increased hiring speed

Screening is completed in seconds, allowing you to reach top candidates before anyone else.

2. Human-centric focus

Freed from repetitive tasks, your recruiters focus on building relationships and evaluating soft skills.

3. Consistent selection quality

The AI applies the same selection criteria to 100% of candidates, eliminating fatigue.

4. Unlimited scalability

Whether you receive 10 or 1000 applications, your processing capacity remains constant and fast.

5. Seamless integration

Swiftask adapts to your existing Greenhouse workflow without requiring a tool change.

Enterprise security and GDPR compliance

Swiftask applique des standards de sécurité enterprise pour vos automatisations greenhouse job board.

  • Secure API connection: Uses Greenhouse authentication protocols to ensure your data integrity.
  • Data anonymization: Option to anonymize CVs before analysis to promote skill-based selection.
  • Full audit trail: Detailed history of decisions made by the agent for every application.
  • Strict compliance: Adherence to GDPR standards for handling candidate personal data.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measurable recruitment performance

MétriqueAvantAprès
Screening time per CV5 to 10 minutesUnder 30 seconds
Time-to-hire45 days (average)30-50% reduction
Sorting accuracyVaries by recruiterConsistent and criteria-aligned
Processing volumeLimited by human capacityUnlimited and instant

Passez à l'action avec greenhouse job board

Drastically reduce screening time and accelerate your recruitment cycle.

Automatisez la planification de vos entretiens avec Greenhouse

Cas d'usage suivant.