Automate Chat Support Across Conveyor with AI
Purpose-built AI agent for Chat Support — connects to Conveyor in minutes so your team can stop doing the work by hand.
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 Conveyor work for Chat Support automation?
Conveyor 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 Conveyor 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 @Conveyor 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 @Conveyor in our brand voice
- 2Escalate the rest with full context to @Zendesk
How it connects
Connect Conveyor. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Conveyor with one click, and chat support runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- ConveyorConnect
- IntercomConnect
- ZendeskConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Conveyor + DeskFerry can do
Real Conveyor actions your AI agent can perform automatically — no manual work required.
Create and route tickets
Automatically create support tickets in Conveyor from emails, chats, or form submissions and route them by category.
Prioritize by urgency
AI analyzes incoming tickets in Conveyor and assigns priority levels based on sentiment, keywords, and customer tier.
Draft reply suggestions
Generate contextual response drafts for tickets in Conveyor using knowledge base articles and past resolutions.
Escalate SLA breaches
Monitor response and resolution times in Conveyor and escalate tickets that approach SLA thresholds.
Tag and categorize issues
Automatically apply tags and categories to tickets in Conveyor based on AI analysis of the issue description.
Merge duplicate tickets
Detect duplicate or related tickets in Conveyor and merge them to reduce agent workload and confusion.
Generate support analytics
Pull ticket volume, resolution time, and satisfaction data from Conveyor into actionable support dashboards.
Update knowledge base
Identify recurring issues in Conveyor and draft new knowledge base articles to reduce future ticket volume.
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 Conveyor
Authorize Conveyor and DeskFerry immediately starts monitoring incoming tickets and support events.
Step 02
Configure Ticket Workflows
Set up AI triage rules — classify tickets by type, assign priority, and route to the right agent in Conveyor.
Step 03
Resolve Faster & Track Results
AI handles routine tickets and drafts responses in Conveyor. Monitor resolution times and satisfaction scores live.
Start automating Chat Support for Conveyor
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
Can I customize which Conveyor events trigger Chat Support actions?
Yes. You define exactly which Conveyor 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 Conveyor.
How does DeskFerry automate Chat Support directly inside Conveyor?
DeskFerry connects natively with Conveyor to handle the full Chat Support workflow. The AI agent monitors Conveyor events, processes Chat Support tasks automatically, and writes results back to Conveyor — no copy-pasting or tab-switching required.
What reporting does DeskFerry provide for Chat Support tasks processed through Conveyor?
The dashboard shows Chat Support-specific metrics for your Conveyor integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Conveyor-triggered Chat Support workflows perform over time.
What happens when the Chat Support agent encounters an issue in Conveyor?
When the AI hits an edge case during Chat Support processing in Conveyor, it escalates to your team with full context — the Conveyor record, what was attempted, and why it needs review. Your Chat Support pipeline never stalls or loses data.
Do I need technical skills to connect Conveyor for Chat Support automation?
No coding required. The no-code builder walks you through connecting Conveyor and configuring Chat Support rules visually. Your team can set up, modify, and manage Conveyor-based Chat Support workflows without any developer involvement.
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