Resume Screening Automation on New Relic, Powered by AI
Run Resume Screening on top of New Relic with a DeskFerry agent. Faster execution, fewer errors, zero manual busywork.
47 screened · 5 shortlisted. Top pick summary:
How does New Relic work for Resume Screening automation?
New Relic works for Resume Screening automation by powering a DeskFerry agent that runs the workflow end-to-end inside your existing tools — no code, no custom build.
- 01
Trigger fires
The agent connects to New Relic alongside the other apps your team already uses, watches for the triggers that matter for Resume Screening, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Screen today's 47 resumes from @LinkedIn using @New Relic
AI evaluates resumes against job requirements in seconds, producing objective rankings for your recruiters' review.
- 03
Score against the AE role rubric and shortlist five for the recruiter
Teams typically see hundreds/hr with consistent scoring rubric once the agent is in production.
- 04
You approve
You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
How you tell it what to do
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Screen today's 47 resumes from @LinkedIn using @New Relic
- 2Score against the AE role rubric and shortlist five for the recruiter
How it connects
Connect New Relic. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect New Relic with one click, and resume screening runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- New RelicConnect
- LinkedInConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What New Relic + DeskFerry can do
Real New Relic actions your AI agent can perform automatically — no manual work required.
Create issues from alerts
Automatically open issues in New Relic when monitoring systems detect errors, outages, or performance regressions.
Manage pull requests
Post review reminders, enforce labeling conventions, and auto-merge approved pull requests in New Relic.
Trigger CI/CD pipelines
Kick off build and deployment pipelines in New Relic when code is pushed or a pull request is merged.
Track release milestones
Update milestone progress in New Relic as issues are closed and pull requests are merged toward a release.
Sync project boards
Keep issue status and priority in New Relic aligned with your project management tool in real-time.
Generate changelogs
Compile merged pull requests and closed issues from New Relic into formatted release notes automatically.
Assign reviewers automatically
Route new pull requests in New Relic to the appropriate code reviewers based on file ownership and team rules.
Monitor repository activity
Watch for commits, branch creations, and tag events in New Relic and notify the team of significant changes.
AE shortlist · 5 candidates ranked (top: Aisha Patel, 94/100)
ChatGPT screened all 47 applicants against our AE rubric (PLG SaaS, $50–250K ACV, 3+ years closing). Top five attached, ranked.
Personalized using LinkedIn activity from the last 30 days.
Human in the loop
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Governance
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to recruiting@deskferry.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Screen today's 47 resumes from @LinkedIn using @New Relic — score against the AE
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
How it works
Get started in three steps
Step 01
Connect New Relic
Authorize New Relic and DeskFerry hooks into your issues, repos, and deployment pipelines.
Step 02
Configure Dev Workflows
Define triggers for New Relic events — new issues, PR merges, build failures — and the AI actions to take.
Step 03
Ship Faster with Less Toil
AI automates the tedious parts of your New Relic workflow. Track issues triaged, alerts handled, and developer time saved.
Start automating Resume Screening for New Relic
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
How long does it take to set up Resume Screening automation with New Relic?
Most users connect New Relic and launch their first Resume Screening automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure Resume Screening-specific rules through a visual no-code builder.
What happens when the Resume Screening agent encounters an issue in New Relic?
When the AI hits an edge case during Resume Screening processing in New Relic, it escalates to your team with full context — the New Relic record, what was attempted, and why it needs review. Your Resume Screening pipeline never stalls or loses data.
How does New Relic data stay secure during Resume Screening automation?
All data exchanged between New Relic and DeskFerry during Resume Screening processing is encrypted in transit and at rest. We use OAuth tokens for New Relic access, never store raw credentials, and maintain full audit logs of every Resume Screening action.
What specific Resume Screening tasks can the New Relic integration automate?
The New Relic integration automates end-to-end Resume Screening — including data capture from New Relic, validation, routing, follow-up actions, and status updates. Every Resume Screening step that touches New Relic can be handled by the AI agent.
What ROI can I expect from automating Resume Screening with New Relic?
Teams automating Resume Screening through New Relic typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what New Relic-powered Resume Screening automation delivers.
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