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Spark playbook scenarios · Spark: AI Store Assistant

Create support reply templates grounded in policy

Support volume is hard to manage because replies, routing or escalation are inconsistent. In this case, the immediate task is to create support reply templates grounded in policy. The workflow should produce a support operating workflow and sample ticket outcomes, using the merchant's actual records and constraints.

Topic
Customer Support Operations
Target keyword
shopify support reply templates
Copyable AI prompt

A prompt you can drop directly into Spark

First replace every [bracketed] placeholder with real store scope and constraints, then add any actual records or data you have, and paste it into your preferred AI assistant or Spark agent. Spark will follow this page's workflow to produce structured output and verification steps.

ai-prompt.txt
Act as a Shopify operations specialist.
Help me create support reply templates grounded in policy.
My store context is [describe the business, products and target audience].

My scope is [specify the affected products, pages, customers or reporting period]. Use these inputs: [provide ticket examples, approved policies, team roles, service targets and available tools]. Classify requests, draft appropriate responses and define routing, escalation and resolution criteria.
Return a support operating workflow and sample ticket outcomes for the specified task.
Show the relevant evidence or before-and-after examples and explain how I can verify the result.
If essential data is missing, ask for it and mark unsupported conclusions as unknown.
Do not invent metrics, product claims or customer facts.
For any publication, message, account or store change, use only connected tools within my explicitly authorized scope and report success only after verification; otherwise provide the draft or proposed steps.
Use in Spark
Scenario & problem

When does this scenario usually come up?

Start with the business context, the trigger, and the expected output before moving into the execution steps.

Support volume is hard to manage because replies, routing or escalation are inconsistent. In this case, the immediate task is to create support reply templates grounded in policy. The workflow should produce a support operating workflow and sample ticket outcomes, using the merchant's actual records and constraints.

How to solve

A recommended resolution workflow

Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.

01

Step 1

Start with ticket examples, approved policies, team roles, service targets and available tools.

02

Step 2

Classify requests, draft appropriate responses and define routing, escalation and resolution criteria.

03

Step 3

Deliver a support operating workflow and sample ticket outcomes; verify the result against the supplied records and identify unresolved inputs.

FAQ

Common questions when running this scenario

Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.

Why is automatic classification not enough?

A label must connect to an owner or useful action to improve handling.

When should a request go to a human?

Escalate when facts conflict, the request exceeds permitted actions or the customer's issue cannot be resolved reliably from available information.

What information is needed to investigate this use case?

Start with ticket examples, approved policies, team roles, service targets and available tools. These inputs establish the relevant scope and help separate an actual issue from missing information or an unsuitable comparison. Without them, the result should remain a proposed approach rather than a confirmed diagnosis.

Related scenarios

Continue with adjacent or same-topic scenarios

Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.

Next step

Want these AI scenarios embedded directly into daily operations?

Ciwi Spark builds Shopify-native AI tools and agents around the workflows merchants actually run: research, ads, translation, and customer support. Stop rewriting the same prompts by hand.

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