Run Resume Screening on Box — AI Agent
Already on Box? Add an Arahi AI agent for Resume Screening and save hours every week without writing code.
47 screened · 5 shortlisted. Top pick summary:
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 Box
Link your Box account to Arahi AI. Files and folders are indexed for AI processing immediately.
Set Up File Workflows
Define triggers for Box — new uploads, file changes, or folder activity — and the AI actions that follow.
Process & Organize Automatically
AI classifies, extracts data from, and routes files in Box. Track documents processed and time saved.
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.
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 47 resumes from @LinkedIn using @Box — score against the AE role
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
No coding required. The no-code builder walks you through connecting Box and configuring resume screening rules visually. Your team can set up, modify, and manage Box-based resume screening workflows without any developer involvement.
Most users connect Box 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.
Yes. You define exactly which Box events start resume screening workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so resume screening actions only fire when your specific criteria are met in Box.
Yes. The resume screening agent connected to Box simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single resume screening workflow can pull data from Box, process it, and push results to multiple destinations.
The Box integration automates end-to-end resume screening — including data capture from Box, validation, routing, follow-up actions, and status updates. Every resume screening step that touches Box can be handled by the AI agent.
Yes. You can create parallel resume screening workflows that respond to different Box events or conditions. For example, one resume screening flow for new Box records and another for updated ones — each with independent rules and actions.
Yes. You can run resume screening workflows in test mode using sample Box data before activating on live records. This lets you verify every resume screening rule works correctly with your Box setup before processing real data.
The resume screening agent scales automatically as your Box activity grows. Whether you process 10 or 10,000 resume screening tasks per day from Box, the AI handles the volume without slowdowns or additional configuration.
Arahi AI connects to Box via one-click OAuth, then runs resume screening workflows that read and write Box data on a schedule or in response to triggers. You configure the rules once; the agent executes resume screening across every relevant Box record without developer involvement.
Box holds the data; AI supplies the judgment and throughput. Together they turn resume screening from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the Box-adjacent work that genuinely needs human attention.
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