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Ticket triage is a good candidate for staged rollout. Start by observing and recommending, then gradually turn on helpdesk writebacks as confidence improves.

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Rollout Stages

1

Model the support taxonomy

Start with a small set of intents, product areas, urgency levels, routes, and missing-context categories. Use historical tickets and support team feedback to define the initial values.
2

Build context enrichment

Connect read-only tools for helpdesk, CRM, subscription, product, order, incident, and prior-ticket context. Produce a stable context bundle before classification.
3

Run shadow classification

Create the ticket triage deployment in Testing mode. Have Duckie classify tickets and recommend tags without writing to the helpdesk.
4

Compare against human triage

Review a sample of tickets by intent, route, customer segment, and confidence band. Track where humans changed tags or routes.
5

Enable low-risk writebacks

Turn on internal notes, shadow tags, or custom fields first. Avoid assignment, priority, and SLA changes until the team trusts the routing rules.
6

Enable live routing for known paths

Start with high-confidence intents that have simple deterministic routes, such as billing questions, access issues, or known-incident updates.
7

Add escalation and daily reporting

Route low-confidence or high-risk tickets to a Slack escalation agent, and schedule a Duckie Assistant reporting agent for stakeholder visibility.
8

Review and expand

Use a Duckie Assistant feedback agent to review corrections, reroutes, and failures. Expand the taxonomy and routing rules only after replay testing.

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Testing Plan

Use historical tickets before live routing:
  • Replay tickets across all major intents and channels
  • Include edge cases with missing account matches, angry customers, priority accounts, and known incidents
  • Compare Duckie tags and routes against human-applied tags
  • Review low-confidence cases separately
  • Verify that helpdesk writebacks use only allowed values
  • Confirm that escalation requests are concise and answerable
  • Run batch tests after every taxonomy or routing change

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Success Metrics

Track:
  • Percent of tickets triaged automatically
  • Classification confidence by intent
  • Human correction rate
  • Reroute rate after initial assignment
  • Time to first assignment
  • SLA-at-risk tickets
  • Missing context rate
  • Escalation volume and resolution time
  • Helpdesk writeback failures
  • Support team satisfaction with handoff notes

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Launch Guardrails

Start conservatively:
  • Require human review below a confidence threshold
  • Keep sensitive categories out of live routing at first
  • Use allowlists for helpdesk tags, queues, priorities, and custom fields
  • Limit write tools to the smallest required scopes
  • Keep assignment and SLA changes behind explicit workflow branches
  • Post daily reports during rollout
  • Review reroutes and corrections weekly
The safest first live action is usually an internal note with Duckie’s suggested intent, tags, route, and reasoning. Assignment and SLA updates can come later.

Deployment Modes

Move from Testing to Live when the triage path is ready.

Batch Testing

Evaluate changes across groups of historical tickets.

Alerts

Notify the team when triage failures or SLA risks appear.

Guardrails

Control risky or sensitive behavior.