Concierge-quality replies for every guest message, in your voice.
Handles guest requests (late checkout, dining recs, special occasions) by reading their booking, matching local context, and replying in your hotel's tone — with full handoff to your team for sensitive cases.
Guest concierge reply ready for review:
Customer
“Hi — staying through Sunday. Could I get a late checkout (1 PM if possible) and a recommendation for a quiet brunch spot Saturday morning?”
Agent draft · in your tone
Hi Ms. Bell — happy to grant 1:00 PM checkout, Sunday is yours. For Saturday brunch, three quiet picks within a 5-min walk: Linnea Café (best pastries), Owl & Olive (full menu, garden seats), or Florist (small, intimate). I can call ahead for any of them.
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 OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) 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 OpenAI (ChatGPT). For hospitality teams, this typically means routing workflows from tools like Opera alongside OpenAI (ChatGPT).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Hi Ms. Bell — happy to grant 1:00 PM checkout, Sunday is yours. For Saturday brunch, three quiet picks within a 5-min walk: Linnea Café (best pastries), Owl & Olive (full menu, garden seats), or Florist (small, intimate). I can call ahead for any of them.
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.
- Ms. Tara Bell9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket Guest · Rm 412.
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 Guest · Rm 412 as the matching topic.
Frequently asked questions
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