Ciwi
Back to topic
Spark playbook scenarios · Spark: AI Store Assistant

Create support reply templates grounded in policy

Agents keep retyping the same explanations from memory, and that is where promises beyond the stated policy tend to creep in. In this case, the immediate task is to create support reply templates grounded in policy. The workflow should produce templates inside a support operating workflow whose placeholders are limited to verified order fields.

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: [recurring request types, exact approved policy wording per type, verified order fields permitted as placeholders, and the fields that must stay free text].

Build each template from the policy sentences without paraphrase, leave placeholders only for verified fields, and mark any template whose policy is silent on the customer's question as manual-only rather than filling the gap with plausible wording.
Return policy-grounded reply templates inside a support operating workflow 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
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

Collect the recurring request types, the exact approved policy wording for each, the verified order fields a template may reference, and the list of fields that stay free text and must never be hard-coded.

02

Step 2

Build each template from the policy sentences without paraphrase, leave placeholders only for verified fields, and mark any template whose policy is silent on the customer's question as manual-only rather than filling the gap with plausible wording.

03

Step 3

Deliver the templates inside the support workflow with the policy reference and version date on each, then render a sample ticket through every template and confirm the text matches the policy and still reads correctly when a placeholder is empty.

FAQ

Common questions when running this scenario

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

Why not paraphrase policy inside a template?

Paraphrase drifts with each edit until the template promises something the policy does not, and the drift stays invisible because the wording still sounds official; a plain-language rewrite is allowed only with the policy owner's approval and a reference to the clause it restates.

What if a placeholder has no value at send time?

The template is blocked and the ticket goes to an agent, because a sentence built around a missing order reference cannot be read and invites the wrong assumption; a generic fallback is acceptable only where the policy's meaning does not depend on that value.

How are template versions tracked?

Each template carries its version and the policy clause it restates, and superseded versions are retired rather than deleted, so a reply sent months ago can still be matched to the wording and policy in force at the time.

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.

Open Spark product pageBack to Spark scenario library