Smarter Chat Support for Breezy HR Teams
Turn Chat Support into a background job. Arahi AI agents use Breezy HR to execute on your behalf, 24/7.
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 Breezy HR
Link Breezy HR to Arahi AI with secure OAuth. Employee data and HR workflows sync immediately.
Configure HR Automation
Set up triggers for Breezy HR events — new hires, leave requests, reviews — and define the AI-driven responses.
Streamline People Operations
AI handles routine HR tasks in Breezy HR so your team focuses on culture and strategy. Track time saved per process.
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
Arahi AI connects natively with Breezy HR to handle the full chat support workflow. The AI agent monitors Breezy HR events, processes chat support tasks automatically, and writes results back to Breezy HR — no copy-pasting or tab-switching required.
The Breezy HR integration automates end-to-end chat support — including data capture from Breezy HR, validation, routing, follow-up actions, and status updates. Every chat support step that touches Breezy HR can be handled by the AI agent.
All data exchanged between Breezy HR and Arahi AI during chat support processing is encrypted in transit and at rest. We use OAuth tokens for Breezy HR access, never store raw credentials, and maintain full audit logs of every chat support action.
No coding required. The no-code builder walks you through connecting Breezy HR and configuring chat support rules visually. Your team can set up, modify, and manage Breezy HR-based chat support workflows without any developer involvement.
Yes. You can run chat support workflows in test mode using sample Breezy HR data before activating on live records. This lets you verify every chat support rule works correctly with your Breezy HR setup before processing real data.
Manual chat support in Breezy HR requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling chat support tasks in real-time as Breezy HR events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You can create parallel chat support workflows that respond to different Breezy HR events or conditions. For example, one chat support flow for new Breezy HR records and another for updated ones — each with independent rules and actions.
Yes. You define exactly which Breezy HR events start chat support workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so chat support actions only fire when your specific criteria are met in Breezy HR.
Arahi AI connects to Breezy HR via one-click OAuth, then runs chat support workflows that read and write Breezy HR data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Breezy HR record without developer involvement.
Breezy HR 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 Breezy HR-adjacent work that genuinely needs human attention.
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