Customer ServiceTriage.

Support tickets classified, common issues resolved automatically, and complex ones escalated with full context pre-filled — before a human agent even opens the queue.

Typical build time4–8 weeks
Agent count5–7 agents
Auto-resolution rate60–80% of tickets
First response time< 60 seconds

Six agents.
No ticket left waiting.

Each agent handles one layer of the triage. The result: instant first response, common issues resolved without human touch, and agents only see tickets that genuinely need them.

Agent 01
Listener
Ingest · Dedup
+

Watches every support channel — email, live chat, contact forms, Intercom — and deduplicates tickets so the same issue from different channels isn't worked twice.

Tools
Intercom APIIMAP / GmailZendesk APIThread dedup
Agent 02
Classifier
Category · Urgency · Sentiment
+

Reads the ticket, the customer's history, and their plan tier. Labels category, urgency level, and sentiment — and flags VIP customers for priority handling.

Tools
Claude (reasoning)CRM lookupSentiment modelLabel schema
Agent 03
Resolver
Auto-resolve · KB lookup
+

Searches the knowledge base, checks account status, and attempts to resolve common issues — password resets, billing questions, how-to queries — without involving a human.

Tools
ClaudeKnowledge baseStripe APIAuth API
Agent 04
Escalator
Handoff · Context brief
+

When auto-resolution isn't possible, prepares a full context brief for the human agent — ticket summary, customer history, attempted solutions, suggested next steps.

Tools
ClaudeCRM historyZendesk / IntercomRouting rules
Agent 05
Closer
Confirm · Log · CSAT
+

Sends the resolution confirmation to the customer, updates the CRM with the outcome, and triggers a CSAT survey after the appropriate delay.

Tools
Gmail / SMTPHubSpot / CRMCSAT triggerSupabase log
Agent 00
Orchestrator
Supervisor · State machine
+

Coordinates every handoff, enforces SLA timers, retries on failure, and keeps a full audit log so you can inspect any decision the system ever made.

Tools
State machineSLA timerPostgres logRetry policy

Renewal failed.
Fixed by 14:37:44.

A customer's subscription renewal failed. They email support. No human is available. By 14:37:44 they have a working payment retry link in their inbox — and a closed ticket.

live trace · live trace · ticket #4821 · 14:37:00processing
Orchestrator
Supervisor · State machine
coordinating handoffs
Listener
Ingest
idle
Classifier
Category · Urgency
idle
Resolver
KB lookup
idle
Escalator
Handoff
idle
Closer
Confirm · Log
idle
Orchestrator
Supervisor · State machine
coordinating handoffs
agents
Listener
Ingest
idle
Classifier
Category · Urgency
idle
Resolver
KB lookup
idle
Escalator
Handoff
idle
Closer
Confirm · Log
idle

What we need from you.

🎫
500+ historical tickets

Labelled with category, resolution, and whether it was auto-resolvable. This trains the classifier and tells us what the resolver can handle on day one.

📚
Your knowledge base

Existing help articles, FAQs, internal runbooks. If they don't exist yet, we can help structure them — but the subject matter needs to come from your team.

🔌
API access

Read/write access to your support platform (Zendesk, Intercom, email), CRM, and any systems the resolver needs to act on — billing, auth, account management.

📋
Your escalation rules

What always goes to a human, what can always be auto-resolved, and the grey area in between. A first-pass doc is fine — we'll refine it during testing.

From kick-off to live.

01
Discovery
Days 1–7

Audit ticket history, define categories, agree escalation rules and auto-resolution scope.

02
Build
Days 8–28

Agents wired, classifier trained, resolver connected to your systems, end-to-end tested on historical tickets.

03
Test & tune
Days 29–42

Shadow mode on live tickets. Human agents review every auto-resolution. Tune until confidence thresholds are earned.

04
Go live
Days 43–56+

Cut over. We monitor for two weeks. Retainer available as your product and ticket categories evolve.

Queue out of control?

Book a free 30-minute scoping call. Bring your ticket volume and categories — we'll tell you what percentage is automatable and what it would realistically take.