Tickets routed to the right person on the first try, by reading what they actually say.
Claude reads each inbound ticket — including the long, rambling ones — figures out the topic, urgency, and account context, and routes to the queue or person whose past tickets show they handle this best.
19 tickets routed in the last hour. Latest billing escalation:
Customer
“We were charged twice for our March seat-add ($720 overage). Need this resolved before Friday's board meeting.”
Agent draft · in your tone
Hi Olivia — apologies for the double-charge. Refund of $720 has been queued (3–5 business days), and I've flagged the seat-add webhook bug for engineering. I'll personally confirm the refund as soon as Stripe clears it.
How does Anthropic (Claude) work for Ticket Routing automation?
Anthropic (Claude) works for Ticket Routing 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 Anthropic (Claude) alongside the other apps your team already uses, watches for the triggers that matter for Ticket Routing, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Triage every @Zendesk ticket with @Claude
AI categorizes and prioritizes support tickets the moment they arrive — no manual triage needed.
- 03
Classify by topic and urgency
Teams typically see instant to the right queue and agent once the agent is in production.
- 04
Assign to the right queue with suggested next steps
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.
- 05
You approve
Anything under your confidence bar waits for a human.
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.
- 1Triage every @Zendesk ticket with @Claude
- 2Classify by topic and urgency
- 3Assign to the right queue with suggested next steps
Already wired in
Claude is built into DeskFerry.
No API key, no model setup, no glue code. Connect the apps your team already uses and ticket routing runs on them.
Claude runs inside DeskFerry on our keys.
- ZendeskConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Anthropic (Claude) + DeskFerry can do
Real Anthropic (Claude) actions your AI agent can perform automatically — no manual work required.
Generate text content
Send prompts to Anthropic (Claude) and receive generated text for emails, summaries, product descriptions, or creative content.
Classify and categorize inputs
Pass unstructured data to Anthropic (Claude) for classification into predefined categories, labels, or intent types.
Extract structured data
Use Anthropic (Claude) to parse documents, emails, or images and extract structured fields like names, dates, and amounts.
Analyze sentiment and tone
Send customer messages or reviews to Anthropic (Claude) for sentiment scoring and emotional tone analysis.
Generate embeddings
Convert text into vector embeddings using Anthropic (Claude) for semantic search, clustering, and recommendation systems.
Summarize documents
Pass long-form content to Anthropic (Claude) and receive concise summaries that capture the key points and decisions.
Moderate content
Screen user-generated text and images through Anthropic (Claude) to detect policy violations, toxicity, or inappropriate material.
Build conversational agents
Connect Anthropic (Claude) to messaging channels to power AI chatbots that handle FAQs, triage requests, and collect information.
Hi Olivia — apologies for the double-charge. Refund of $720 has been queued (3–5 business days), and I've flagged the seat-add webhook bug for engineering. I'll personally confirm the refund as soon as Stripe clears it.
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.
- Brightside Studio9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket #4488.
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 #4488 as the matching topic.
How it works
Get started in three steps
Step 01
Connect Anthropic (Claude)
Authorize Anthropic (Claude) in your DeskFerry dashboard. The secure connection takes less than 60 seconds.
Step 02
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses Anthropic (Claude).
Step 03
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Start automating Ticket Routing for Anthropic (Claude)
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
Why is reading the full ticket different from keyword routing?
Customers don't write tickets in keywords. A ticket titled 'help' that mentions a SAML SSO error needs the same routing as one titled 'SSO broken.' Claude reads the body, not the subject.
How does it know who handles a topic best?
By reading your past 90 days of resolved tickets. It learns who closes auth tickets fastest, who handles billing complexity well, who's good with enterprise accounts. Routing reflects actual track record, not just team membership.
What about urgency and SLA?
Urgency is inferred from the language ('our prod is down' is high; 'just curious' is low) and from the account (paid enterprise tickets get a higher floor). SLAs are respected by routing high-urgency tickets to the queue with bandwidth.
Does it work for multi-product companies with overlapping topics?
Yes. The agent maps each ticket to one or more product lines and routes to the team that owns the primary one, with the secondary teams CC'd. Your support manager configures the priority order.
What systems does it write to?
Your help desk's native fields — assignee, queue, priority, tags. No parallel system; tickets stay where your team works.
Explore more