Resume screening with the judgment of a human reviewer at 100x throughput.
Claude reads each resume in full, weighs it against the role's actual requirements (not the buzzword list), and writes a one-paragraph recommendation that flags both fit and risk.
38 screened · 5 shortlisted. Top pick summary:
How does Anthropic (Claude) work for resume screening automation?
Anthropic (Claude) works for resume screening automation by powering an Arahi AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to Anthropic (Claude) 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. AI evaluates resumes against job requirements in seconds, ranking candidates objectively. Teams typically see hundreds/hr with consistent scoring rubric once the agent is in production. 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.
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.
- 1Read the trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
Get started in three steps
Connect Anthropic (Claude)
Authorize Anthropic (Claude) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses Anthropic (Claude).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
AE shortlist · 5 candidates ranked (top: Mei Lin, 96/100)
Claude screened all 38 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.
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.
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@arahi.ai.
- 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 38 resumes from @LinkedIn using @Claude — score against the AE ru
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
It introduces less bias than keyword filters do, and the bias it does have is auditable. Each recommendation includes the reasoning. You can spot-check, run cohort analysis, and tune the rubric. The agent will never auto-reject — every screen gets a recommendation, your team makes the call.
You provide the role description, the must-haves, and 3–5 example resumes of past hires you'd hire again. Claude reads them, surfaces the patterns, and asks you to confirm. The rubric is editable in plain English at any time.
The agent reads the prose. A strong self-taught engineer who shipped notable projects gets surfaced even without the CS degree the rubric mentions — because the agent reads the project descriptions and weighs them. Edge cases are flagged for human review by default.
Greenhouse, Lever, Workable, Ashby, BambooHR, Workday. Recommendations write back to the candidate record with the reasoning preserved.
Calibrated to your bar within 50–100 reviewed candidates. The agent learns from each accept/reject — what your hiring manager's actual standard looks like, vs. the standard the JD implies.
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7-day free trial. Works with the tools you already use.