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Customer operations

Get every enquiry to the right next action.

Classify, enrich and route incoming cases without handing sensitive customer decisions to an unsupervised agent.

For founder-led businesses where queues mix routine questions with urgent, vulnerable or high-value cases. Clerq maps categories, policies, data access and escalation routes before recommending automation.

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Plain-English definition

Customer-service triage automation classifies and enriches enquiries, then routes routine, urgent and sensitive cases to the correct next action.

How the Diagnostic tests it

Signs the queue needs a better system

  • Agents read and reclassify every message before useful work begins.
  • Order, customer and policy context is gathered manually across tools.
  • Urgent or sensitive cases can sit behind routine enquiries.
  • Routing categories and response standards vary by team member.

What the target workflow does

  • Classifies the enquiry against an approved taxonomy.
  • Retrieves relevant order, customer and policy context.
  • Routes cases by urgency, complexity, value and required authority.
  • Suggests next steps only inside documented service rules.
Controls and ownership

People handle judgement, vulnerability and recovery.

The goal is faster, better-prepared human service, not an agent that hides difficult cases.

Area
Automated preparation
Human control
Classification
Apply approved categories and confidence thresholds.
Support corrects uncertain or novel classifications.
Context
Retrieve permitted order, account and policy data.
People verify identity and sensitive information where required.
Routing
Prioritise using documented urgency and authority rules.
Named owners manage escalations and service recovery.
Responses
Draft or suggest approved routine information.
People approve exceptions, refunds, complaints and sensitive replies.
Relevant systems

Bring useful context into the queue.

Exact access is designed during the Diagnostic. Systems already within Clerq's stated scope include:

ShopifyHubSpotSlackNotion

Start with a two-week Diagnostic.

Clerq samples the queue, maps reasons for contact, reviews policies and measures handling steps. The roadmap identifies where triage can help and where people must stay in the loop.

  • From £2,500
  • Build only where risk and value support it
  • Three months of Run included after Build
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Questions

Customer service triage FAQ

Will AI answer every customer automatically?
No. The first opportunity is usually classification, context gathering and routing. Any automatic response needs approved content, a suitable risk level and clear escalation.
How are complaints and vulnerable customers handled?
They should be identified and routed to trained people under your policy. The Diagnostic defines these non-negotiable human routes before automation is designed.
Can this use our Shopify data?
Shopify is already within Clerq's stated integration scope. The Diagnostic confirms permissions, data quality and what each case type is allowed to access.
How do we know classification remains accurate?
Run monitoring should track confidence, correction rates, new case types and escalation outcomes. Three months of Run is included after a Clerq Build.
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Practical guide

Customer service triage framework

Design categories, routing, context and meaningful human escalation.

Read →
Customer service triage

Make the queue faster without making it reckless.

Start with a 20-minute fit call or review the illustrative Diagnostic first.

Get the Sample Diagnostic