See DeskFerry automate customer support
A live look at the agent doing the work — not a feature list.
A customer says their order hasn't shipped — handle it.
Customer
“Hi, I ordered 5 days ago and it still hasn't shipped. What's going on?”
Agent draft · in your tone
Hi Dana — sorry for the wait! Order #10293 cleared our warehouse this morning and ships today with tracking by 6pm. I've added 10% off your next order for the delay.
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.
- 1Pull account and order context
- 2Search your help center and past resolutions
- 3Draft a reply in your tone and resolve or escalate
Automate Customer Support: workflows DeskFerry runs
Resolve a repeat ticket end-to-end
A customer message lands in email, chat, Zendesk or Intercom
Pull account and order context
Search your help center and past resolutions
Draft a reply in your tone and resolve or escalate
~70% of repeat tickets resolved automatically; the rest escalated with a summary.
Escalate with a head start
A ticket needs human judgment
Summarize the issue and gather the context
Draft a suggested reply for the agent
Route to the right queue with priority
Humans finish hard tickets in seconds instead of starting cold.
Who it's for
Support lead
Agents drown in repetitive tickets and SLAs slip.
The bulk of repeat volume is resolved automatically, on-brand.
Founder wearing the support hat
No bandwidth to answer every customer quickly.
Customers get fast, accurate answers without a support team.
For Automate Customer Support: DeskFerry vs Make
| Aspect | Make | DeskFerry |
|---|---|---|
| Time to first customer support | 2-4 hours (visual builder learning curve) | 30 minutes or less |
| Technical skills required | Visual programming concepts | None - plain English setup |
| Intelligence level | Visual workflow logic | AI that understands context |
| Handles edge cases | Requires error handling modules | Adapts automatically |
| Can actually answer questions | Routes only | Yes - trained on your knowledge base |
The real cost of customer support
Monthly Cost
Hidden costs with Make:
- Complex visual scenarios require significant learning time
- No native AI - requires third-party AI integrations
- Custom logic requires advanced scenario features
- Time spent troubleshooting customer support issues
Time to Results
Setup Time
First Results
Why DeskFerry is better for customer support
Hi Dana — sorry for the wait! Order #10293 cleared our warehouse this morning and ships today with tracking by 6pm. I've added 10% off your next order for the delay.
Prepared and waiting on your approval
Outside the agent's confidence — your call
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.
- Youjust now
Approved — send the reply
- Agent1 min ago
Held for human review
Reason: High-confidence answer, but it's customer-facing — escalating per your policy.
- Agent1 min ago
Drafted a support reply in your tone
- Agent2 min ago
Pulled context from Zendesk, Intercom and Gmail
- Agent2 min ago
Triggered: A customer says their order hasn't shipped — handle it.
Common questions
DeskFerry vs Make for customer support
Keep exploring
Full DeskFerry vs Make comparison
This page is about customer support. The full comparison covers pricing, security, and every feature head-to-head.
More DeskFerry vs Make use cases
Ready to automate customer support the easy way?
Switch from Makeor start fresh. Either way, you'll be up and running in 30 minutes.
Starter plan. 100 actions included.