AI Agent for Chat Support — Built for Box
Automate Chat Support for teams using Box. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
84 chats handled overnight. Sample resolution:
Customer
“Hey — my Slack agent stopped firing after I rotated the workspace token yesterday. Anything I need to do on my end?”
Agent draft · in your tone
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your Arahi inbox; once you tap it the agent will pick up where it left off (no re-training needed).
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 inbound ticket and classify the topic
- 2Pull the customer's plan, history, and SLA
- 3Draft a response in your support team's voice
- 4Resolve directly or hand off with full context
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.
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your Arahi inbox; once you tap it the agent will pick up where it left off (no re-training needed).
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
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.
- Lara Knight9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket #9281.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged #9281 as the matching topic.
Frequently asked questions
The Box integration automates end-to-end chat support — including data capture from Box, validation, routing, follow-up actions, and status updates. Every chat support step that touches Box can be handled by the AI agent.
Arahi AI connects natively with Box to handle the full chat support workflow. The AI agent monitors Box events, processes chat support tasks automatically, and writes results back to Box — no copy-pasting or tab-switching required.
Yes. You can run chat support workflows in test mode using sample Box data before activating on live records. This lets you verify every chat support rule works correctly with your Box setup before processing real data.
All data exchanged between Box and Arahi AI during chat support processing is encrypted in transit and at rest. We use OAuth tokens for Box access, never store raw credentials, and maintain full audit logs of every chat support action.
Yes. The chat support agent connected to Box simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single chat support workflow can pull data from Box, process it, and push results to multiple destinations.
When the AI hits an edge case during chat support processing in Box, it escalates to your team with full context — the Box record, what was attempted, and why it needs review. Your chat support pipeline never stalls or loses data.
The Box integration maintains a persistent real-time connection for chat support automation with automatic retry logic and continuous monitoring. If Box experiences downtime, queued chat support tasks process automatically once connectivity resumes.
Yes. You can create parallel chat support workflows that respond to different Box events or conditions. For example, one chat support flow for new Box records and another for updated ones — each with independent rules and actions.
Arahi AI connects to Box via one-click OAuth, then runs chat support workflows that read and write Box data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Box record without developer involvement.
Box holds the data; AI supplies the judgment and throughput. Together they turn chat support 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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