A support assistant cannot compensate for unclear policies or outdated product information. Start by organizing the answers customers need most often, then decide whether a searchable help page is enough. If you add AI, restrict it to approved information and give customers a usable route to human help. Tidio documents both knowledge sources and configurable handoff behavior; other products have different settings. The goal is correct resolution with less repeated work, not simply fewer conversations reaching a person.
Verified answers handle repeat questions while unsupported requests are routed clearly to a person.
Before you start
- Current approved policies and product answers with named owners.
- An anonymized list of recurring customer questions.
- A real human-support destination and a realistic response window.
- A test configuration without unrestricted account-changing permissions.
Answer a delivery question without inventing a promise
Illustrative sample: adapt the business details before using it.
Start with this input
Approved source: orders dispatch in 3–5 business days; carrier transit varies. Customer asks: Will my order arrive by Friday? No authenticated order details or guaranteed carrier service are available.
What a useful result looks like
The assistant explains the published processing window, states that arrival by Friday cannot be confirmed from the available information, and offers the appropriate order-support route. It does not invent a tracking status, exact delivery date, or refund promise.
Identify repeated questions without copying private details
Review a manageable sample of recent support requests and group them by problem: delivery timing, sizing, downloads, returns, account access, or product use. Remove names, addresses, order identifiers, and other unnecessary details from the working examples. Count which questions recur and which cause costly confusion. Separate general questions from requests that require access to a specific order or an exception to policy.
Write one authoritative answer for each common issue
Give each article a clear question, short answer, relevant conditions, next step, and owner. Link to the actual policy or product record rather than duplicating conflicting versions. Put changing information such as processing times in one maintained location. Explain important limits: a dispatch estimate is not a carrier guarantee, and a return request is not automatically approved merely because someone starts a conversation.
Define cases that need a person
List situations the automated assistant should not decide, such as disputed payments, unusual refunds, suspected account compromise, or a product-safety complaint. Choose the actual handoff destination and a response window the business can maintain. Provide an offline route when nobody is available. A request for a human should lead to a clear next step rather than an endless attempt to keep the visitor chatting.
Connect only the approved knowledge and permissions
Add the curated help content as the assistant's source material and confirm what synchronization includes. Exclude draft policies, private notes, and obsolete pages. Begin with answers rather than account-changing actions. If order lookup is later added, verify identity and access controls separately. Configure the assistant to acknowledge uncertainty and cite or link the relevant help page when possible; do not tell it to sound confident regardless of evidence.
Test ordinary, ambiguous, and adversarial questions
Ask the same question in several ways and include a missing detail, a contradiction, and a request outside policy. Try asking the assistant to ignore its instructions or reveal private information. Check whether it invents discounts, delivery guarantees, or refund approvals. Test the human handoff both during and outside working hours. Keep the test questions so future content or configuration changes can be checked against the same expectations.
Review unresolved and reopened conversations
Track correct resolutions, escalations, repeated contacts, and answers that needed correction. Do not treat a closed chat as proof the customer succeeded. Sample conversations regularly and update the underlying knowledge when a recurring gap appears. Record the change date and retest affected questions. If a serious wrong answer appears, disable the relevant automation until the cause is understood rather than quietly editing one transcript.
The answer example and test cases are editorial designs. The linked Tidio documentation verifies configurable knowledge and handoff capabilities, not a guarantee of error-free answers.
Troubleshooting
The assistant cites an old return policy.
Find every connected source containing the outdated text, remove or update it, refresh according to the provider's synchronization behavior, and rerun the affected test questions.
A request for a human loops back into automated answers.
Review online and offline handoff settings separately. Configure the actual live queue or ticket route and test it as a visitor; a polite sentence is not a working handoff.
The dashboard reports resolution but the customer returns with the same issue.
Add repeat-contact and reopened-case review to the quality check. Update the source answer or escalation rule instead of relying only on the vendor's resolution label.
Common mistakes to avoid
- Training on inconsistent policies and expecting the assistant to choose the right one.
- Hiding the human-support path to improve an automation metric.
- Giving a general support bot unrestricted access to customer records or account actions.
How to know it helped
- Common questions have current, consistent answers.
- Uncertain or sensitive cases reach an appropriate person.
- Corrections improve the source material and the repeatable test set.
Sources & research notes
Researched from official product documentation. This is an instructional guide, not a hands-on product test. Use the linked sources to check plan-dependent features and current limits.