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Customer support

Cutting first-response time without auto-sending replies

A workflow classifying tickets, retrieving account details and drafting responses while keeping agent review before every send. This is an example workflow design; the exact approach and results depend on the organisation’s process, data and systems.

INDUSTRY
Consumer services
SERVICES
AI & Agentic Workflows, Internal Tools
52%
faster first response
0
unreviewed replies sent
9
ticket categories

The problem

Agents often spend the first minutes of every ticket working out what it is about and looking up the customer’s order in other tools.

Typical manual workflow

  1. 01Ticket arrivesmanual
  2. 02Agent reads and tagsmanual
  3. 03Order looked upmanual
  4. 04Account looked upmanual
  5. 05Reply writtenmanual
  6. 06Sentmanual

Dashed steps are typically done by hand.

The approach

Tickets are classified on arrival, with the relevant order and account details attached and a draft reply prepared from the support knowledge base. Agents still edit and send.

Example system design

  1. 01 · TRIGGER
    Help desk
    New ticket received
  2. 02 · ACTION
    Classify
    Category and urgency
  3. 03 · DATA
    Order and account
    Fetched and attached
  4. 04 · ACTION
    Draft
    From knowledge base articles
  5. 05 · HUMAN
    Agent
    Edits and sends
Steps run left to right, top to bottom. Dashed nodes are where a person reviews or decides.

Design decisions

Why nothing is auto-sent

Refunds and account changes carry real cost. The goal is to make agents faster, not remove their judgment.

Failure handling

WHENTHE SYSTEM
▲Classification confidence is lowThe ticket goes to the general queue untagged, with no draft.
▲No knowledge article matchesNo draft is written and the gap is logged for the support lead.

Example outcomes

MEASUREMANUAL PROCESSAUTOMATED PROCESS
First response3h 10m1h 31m
Lookups per ticket2–30

Technology

  • OpenAI
  • Zendesk API
  • PostgreSQL
  • Make

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