E-commerce
June 30, 2026
Customers often ask questions about the Terms and Conditions (T&Cs) when a purchase does not go as planned: refused returns, warranties, delays, refunds, fees, or liability. The chatbot can help, but it must not become a legal advisor.
Its role is to explain the published rules in plain language, direct users to the official pages, and escalate sensitive or ambiguous cases. It must avoid interpreting a clause beyond what the brand has validated.
This guide shows how to configure an AI chatbot to answer T&C questions with pedagogy, caution, and consistency.
Summary
Why should the T&Cs be treated with caution?
The GTCs (General Terms and Conditions) define rights, obligations, and commercial limitations. An approximate response can create a binding promise, a misunderstanding, or a dispute.
The chatbot must therefore distinguish between explanation, the application of a simple rule, and legal interpretation. It can explain a return policy, but it must not resolve a complex conflict.
The chatbot makes the GTCs understandable; it does not replace legal validation or authorized support.
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Which sources should be used?
The bot must use the up-to-date T&Cs, return policy, warranty, delivery conditions, payment rules, legal notices, and validated support procedures.
If an old page, FAQ, or previous conversation contradicts the current T&Cs, the bot must rely on the official source or transfer.
How to explain without interpreting?
The response must rephrase the rule in simple language, indicate where it applies, and specify the information to verify. For example, a return period often depends on the date of receipt, the type of product, and its condition.
The chatbot should avoid absolute statements when the case depends on human review or documentation.
How to handle sensitive cases?
Disputes, contested refunds, hazardous products, personal data, complex warranties, and legal requests must be escalated. The bot can prepare the file, but cannot decide on its own.
It must also recognize when a question exceeds its scope: “I can explain the general rule, but this case must be verified by the competent team.”
How to stay pleasant for the customer?
Explaining a commercial limit should not sound like a flat refusal. The bot can acknowledge the problem, explain the rule, and then suggest the next step: proof, form, ticket, or advisor.
The customer understands a strict rule better when they see that a check or alternative is still possible.
Which flow to follow?
The flow must start from the official rule, then the customer case.
Identify the subject: return, delivery, warranty, payment, refund, or liability.
Consult the official source and check the date, product, country, and order status.
Explain the rule in plain language without adding any legal interpretation.
Propose the next action: form, proof, ticket, follow-up, or advisor.
Escalate disputes, exceptions, legal requests, and contradictions between sources.
Which messages should be used?
To frame it: "I can explain the published rule to you and verify how it applies to your order information."
For limits: "This point requires verification by the competent team, as it depends on your file."
For sources: "You can consult the official version of the conditions on the dedicated page."
When to transfer?
Transfer is necessary if the customer disputes a rule, requests an exception, mentions legal action, reports a contradiction, or asks for a personalized interpretation.
The bot must transmit the order, country, product, rule concerned, source consulted, customer request, evidence, and the ambiguous point.
Which KPIs should be monitored?
Track T&C questions, transferred disputes, misunderstood rules, requested exceptions, detected contradictions, legal tickets, and satisfaction after explanation.
These data show which clauses need to be better explained on the site.
Which mistakes should be avoided?
Avoid giving legal advice, modifying a rule in the conversation, promising an exception, citing an obsolete source, or refusing without proposing a next step.
The chatbot must be educational, consistent, and cautious.
How can Qstomy help?
Qstomy can connect the chatbot to the catalog, technical constraints, payments, T&Cs, help bases, test scenarios, and reassurance rules to answer clearly, then transfer sensitive cases with an actionable summary.
The chatbot helps the customer make a decision without inventing compatibility, bank validation, legal interpretation, test result, or commercial promise that has yet to be confirmed by a reliable source.
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Key takeaways
Key Takeaways
A chatbot can explain the T&Cs in plain language using up-to-date official sources.
What the customer needs to understand
The customer must understand the rule, its scope, and the next step for their case.
The proper limit of the chatbot
The chatbot must not provide legal advice or resolve complex disputes without transfer.
Enzo
June 30, 2026
