Resume Screening replaced a manual process that took 2 hours daily. ROI was clear within the first month.
+ Support team helped customize quickly · Setup was straightforward
Score inbound resumes against job requirements and route qualified candidates to recruiters.
This automation starts when greenhouse application webhook or Gmail resume attachment. It openai score against jd and bamboohr create candidate record, then score ≥75 Slack summary; below 50 polite rejection email.
Read-only visualization of how data moves from trigger to final result.
Greenhouse webhook or Gmail resume attachment
GPT-4o scores match against Notion job description rubric
Qualified candidates create BambooHR record
Score ≥75 Slack summary; below 50 polite rejection email
Scores
Scores
Scores
Scores
Remove repetitive steps from Resume Screening so your team focuses on high-value work.
Connected apps sync data automatically instead of copy-paste between dashboards.
Standardized logic runs the same way every time, with retries on failure.
Automation runtime
Connect required apps via OAuth or API keys. Credentials are encrypted server-side. Dev test runs mock external actions when connections are missing.
Est. setup time: ~8 min
Webhook trigger
Activate this workflow to provision the trigger endpoint.
No runs yet. Install the template and run a test, or activate to receive webhook/schedule runs.
Greenhouse or Gmail attachment with subject `Application` triggers PDF text extraction, GPT-4o scores match against job description from Notion—skills, years, location—with weighted rubric, scores ≥75 create BambooHR candidate record and Slack notify hiring manager with summary bullets, 50–74 nurture folder, below 50 polite rejection email via Gmail template.
Some steps run in preview until their integrations go live.
Greenhouse/BambooHR, Gmail, Notion JD library, OpenAI, Slack.
Each requisition ID maps Notion JD with must-have vs nice-to-have skills.
Adjust skill match, experience, education, location weights per role.
Hot, review, reject bands with distinct outcomes.
Compare AI scores to human hire decisions; tune rubric.
| Variable | Type | Default | Required |
|---|---|---|---|
| Business Name | text | Your Business | Yes |
| Notification Email | — | Yes | |
| Timezone | select | — | Yes |
| Slack Channel | text | #general | No |
| Gmail Search Query | text | is:unread | No |
Scoring strips name, photo, and university prestige fields from prompt.
DOCX supported via conversion; image-only resumes escalate to human.
Zip upload to Drive processes batch with rate limit 50/hour.
Multilingual extraction and scoring with Arabic JD support.
Our team can adapt this template to your exact workflow, apps, and brand requirements.
139 total reviews
Resume Screening replaced a manual process that took 2 hours daily. ROI was clear within the first month.
+ Support team helped customize quickly · Setup was straightforward
We deployed this across three locations and saw immediate time savings. The Resume Screening workflow handles edge cases we didn't expect it to.
+ Scales well as we grow · Integrations worked on first try
Solid template. We duplicated and tweaked variables for our brand. Would recommend for teams starting automation.
+ Saved our team 10+ hours weekly · Reliable triggers every time
− Took longer than estimated for advanced config
Greenhouse or Gmail attachment with subject `Application` triggers PDF text extraction, GPT-4o scores match against job description from Notion—skills, years, location—with weighted rubric, scores ≥75 create BambooHR candidate record and Slack notify hiring manager with summary bullets, 50–74 nurture folder, below 50 polite rejection email via Gmail template.
Activate Resume Screening with default variables and run a sandbox test.
Scenario: New user installs template and validates output in under 15 minutes.
Connect live apps, map business rules, enable monitoring alerts.
Scenario: Team deploys to workspace after QA sign-off on test runs.
Version 1.2.0 — Improved reliability and Slack notifications for Resume Screening.
Current version: 1.2.0
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