Run Chat Support on Greenhouse — AI Agent
Already on Greenhouse? Add a DeskFerry agent for Chat Support and save hours every week without writing code.
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 DeskFerry inbox; once you tap it the agent will pick up where it left off (no re-training needed).
How does Greenhouse work for Chat Support automation?
Greenhouse works for Chat Support automation by powering a DeskFerry agent that runs the workflow end-to-end inside your existing tools — no code, no custom build.
- 01
Trigger fires
The agent connects to Greenhouse alongside the other apps your team already uses, watches for the triggers that matter for Chat Support, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Answer live @Intercom chats using @Greenhouse in our brand voice
AI handles common questions immediately, reducing wait times to zero for routine inquiries.
- 03
Escalate the rest with full context to @Zendesk
Teams typically see instant around the clock once the agent is in production.
- 04
You approve
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.
How you tell it what to do
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.
- 1Answer live @Intercom chats using @Greenhouse in our brand voice
- 2Escalate the rest with full context to @Zendesk
How it connects
Connect Greenhouse. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Greenhouse with one click, and chat support runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- GreenhouseConnect
- IntercomConnect
- ZendeskConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Greenhouse + DeskFerry can do
Real Greenhouse actions your AI agent can perform automatically — no manual work required.
Onboard new employees
Trigger onboarding workflows when a new hire is added to Greenhouse, provisioning accounts and sending welcome materials.
Track time-off requests
Sync leave requests and approvals from Greenhouse to team calendars and payroll systems automatically.
Update employee records
Push profile changes, role updates, and department transfers in Greenhouse to all connected HR and IT systems.
Run payroll calculations
Pull attendance, overtime, and benefits data from Greenhouse to prepare accurate payroll inputs each cycle.
Manage performance reviews
Schedule review cycles in Greenhouse, collect feedback from reviewers, and compile summaries for managers.
Post job openings
Publish approved job listings from Greenhouse to multiple job boards and career pages simultaneously.
Screen applicant resumes
AI parses incoming applications in Greenhouse and scores candidates against role requirements and qualifications.
Offboard departing employees
Trigger offboarding checklists when an employee exits Greenhouse, revoking access and recovering company assets.
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your DeskFerry 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.
Human in the loop
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.
Governance
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.
How it works
Get started in three steps
Step 01
Connect Greenhouse
Link Greenhouse to DeskFerry with secure OAuth. Employee data and HR workflows sync immediately.
Step 02
Configure HR Automation
Set up triggers for Greenhouse events — new hires, leave requests, reviews — and define the AI-driven responses.
Step 03
Streamline People Operations
AI handles routine HR tasks in Greenhouse so your team focuses on culture and strategy. Track time saved per process.
Start automating Chat Support for Greenhouse
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
What specific Chat Support tasks can the Greenhouse integration automate?
The Greenhouse integration automates end-to-end Chat Support — including data capture from Greenhouse, validation, routing, follow-up actions, and status updates. Every Chat Support step that touches Greenhouse can be handled by the AI agent.
Can I customize which Greenhouse events trigger Chat Support actions?
Yes. You define exactly which Greenhouse 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 Greenhouse.
How does Greenhouse data stay secure during Chat Support automation?
All data exchanged between Greenhouse and DeskFerry during Chat Support processing is encrypted in transit and at rest. We use OAuth tokens for Greenhouse access, never store raw credentials, and maintain full audit logs of every Chat Support action.
What reporting does DeskFerry provide for Chat Support tasks processed through Greenhouse?
The dashboard shows Chat Support-specific metrics for your Greenhouse integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Greenhouse-triggered Chat Support workflows perform over time.
Can the Greenhouse Chat Support agent also work with other tools in my stack?
Yes. The Chat Support agent connected to Greenhouse simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single Chat Support workflow can pull data from Greenhouse, process it, and push results to multiple destinations.
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