Swiftask integrates with Greenhouse to analyze, score, and sort every incoming CV. Identify top talent instantly, without manual work.
Result:
Drastically reduce screening time and accelerate your recruitment cycle.
AI Agents
greenhouse job board
Connector greenhouse job board · Secure OAuth 2.0
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.
Main negative impacts:
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.
BEFORE / AFTER
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.
1
STEP 1 : Define your criteria in Swiftask
Configure your agent with essential skills, years of experience, and keywords for each job opening.
2
STEP 2 : Connect your Greenhouse instance
Link Swiftask to Greenhouse via secure API. The agent accesses new applications in real time.
3
STEP 3 : Activate automatic analysis
The AI processes files, evaluates relevance, and updates the candidate profile in the ATS.
4
STEP 4 : Monitor and adjust
Review the dashboard to validate AI decisions and refine criteria if needed.
Semantic skill analysis, degree extraction, job-description-based scoring, and detection of key work experiences.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-greenhouse-job-board@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Screening is completed in seconds, allowing you to reach top candidates before anyone else.
Freed from repetitive tasks, your recruiters focus on building relationships and evaluating soft skills.
The AI applies the same selection criteria to 100% of candidates, eliminating fatigue.
Whether you receive 10 or 1000 applications, your processing capacity remains constant and fast.
Swiftask adapts to your existing Greenhouse workflow without requiring a tool change.
Swiftask applies enterprise-grade security standards for your greenhouse job board automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Screening time per CV | 5 to 10 minutes | Under 30 seconds |
| Time-to-hire | 45 days (average) | 30-50% reduction |
| Sorting accuracy | Varies by recruiter | Consistent and criteria-aligned |
| Processing volume | Limited by human capacity | Unlimited and instant |
Drastically reduce screening time and accelerate your recruitment cycle.