Prompt
How do I set up a support agent for refund and exchange handling with knowledge base connected workflows?
Latest observation
Here’s a practical way to set up a support agent for refunds and exchanges with knowledge base–connected workflows.
1) Define the agent’s scope
Start by deciding exactly what the agent should handle:
- Refund eligibility checks
- Exchange requests
- Order status lookup
- Return window validation
- Policy questions from the knowledge base
- Escalations to a human agent
Keep the scope narrow at first so the workflow is reliable.
2) Build the knowledge base
Create or connect articles covering:
- Refund policy
- Exchange policy
- Return shipping rules
- Product condition requirements
- Timelines for processing
- Exceptions and non-returnable items
- Regional variations, if relevant
Make the articles:
- Clear
- Structured with headings
- Easy to search
- Updated regularly
If your platform supports it, tag articles by topic such as:
refundsexchangesreturnsshippingpolicy-exceptions
3) Connect the knowledge base to the agent
Configure the agent so it can:
- Search KB articles before responding
- Cite the policy source when relevant
- Use KB content to answer policy questions
- Fall back to escalation if the answer isn’t found
A good rule is:
- Check the KB
- Check order/customer data
- Run the workflow
- Escalate if needed
4) Create refund and exchange workflows
Set up separate workflows for each case.
Refund workflow
Typical steps:
- Confirm order number
- Verify purchase date and refund eligibility
- Check return window
- Confirm item condition and exclusions
- Determine refund method
- Initiate return label or approval
- Send confirmation to the customer
Exchange workflow
Typical steps:
- Confirm original order
- Check stock availability for replacement item
- Verify eligibility under exchange policy
- Determine price difference, if any
- Generate return and replacement steps
- Notify customer of next actions
5) Add decision rules
Use rules to automate common outcomes.
Examples:
- If item is outside return window, deny refund and suggest escalation or store credit if allowed
- If item is defective, route to exception handling
- If replacement is out of stock, offer refund or waitlist
- If customer has no order number, ask for email and date of purchase
6) Connect external systems
To make the agent actually do the work, connect it to:
- Order management system
- CRM/customer profile
- Inventory system
- Shipping/returns platform
- Ticketing/helpdesk system
This lets the agent verify orders, create return requests, and log cases automatically.
7) Set guardrails
Add rules for what the agent must not do automatically:
- Large-value refunds
- Fraud-sensitive cases
- Policy exceptions
- Angry/high-risk customers
- Legal/chargeback threats
Route those to a human supervisor or specialist team.
8) Write prompts and response templates
Provide the agent with:
- Tone guidelines: polite, concise, empathetic
- Required questions: order number, item, reason, condition
- Escalation language
- Standard refund/exchange messages
Example template:
I can help with that. Please share your order number and let me know whether you’d like a refund or an exchange. I’ll check your eligibility and next steps.
9) Test common scenarios
Run tests for:
- Eligible refund
- Ineligible refund
- Exchange in stock
- Exchange out of stock
- Missing order number
- Defective item
- Policy edge cases
Verify the agent:
- Uses KB content correctly
- Follows workflow logic
- Escalates when appropriate
10) Monitor and improve
Track:
- Resolution rate
- Escalation rate
- Accuracy of eligibility decisions
- Customer satisfaction
- Most common refund/exchange reasons
- KB gaps
Use those insights to update policies, workflows, and articles.
Recommended setup pattern
A strong architecture usually looks like this:
Customer message
→ Knowledge base search
→ Intent detection
→ Workflow execution
→ System checks (orders, inventory, CRM)
→ Decision or escalation
→ Response to customer
Example workflow logic
If customer asks for refund:
- Search KB for refund policy
- Ask for order ID if missing
- Validate order date and item eligibility
- If eligible, create refund case
- If not eligible, explain reason and offer escalation
If customer asks for exchange:
- Search KB for exchange policy
- Ask for order ID and desired replacement
- Check inventory
- If available, create exchange request
- If unavailable, offer alternatives
If you want, I can also help you with:
- a sample workflow diagram,
- a prompt template for the support agent, or
- a step-by-step setup for a specific platform.
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.