AI chatbot: qualify enquiries and prepare human handover
A chatbot can answer common questions and collect information needed for initial contact. To decide whether it will help, identify recurring enquiries and the work your team still needs to do. Compare a form or FAQ too: a conversation is not always the simplest journey.
1. Define the assistant’s role and limits
Choose questions the assistant can handle: services, appointment arrangements or information needed for a quote. Give it approved, dated information. A generated answer can be wrong even when its wording sounds convincing.
Define enquiries to hand over: negotiations, sensitive cases, missing information or customers who want a person. Display a contact option and explain the delay or channel for human follow-up when no one is available. Do not promise an immediate human response outside working hours.
2. Prepare qualification questions
Your sales team defines useful criteria: need, scope, deadline and budget where it helps route the enquiry. Explain why you request information and allow visitors to skip optional questions. A score helps prioritise; it does not prove buying intent.
Avoid long interrogations. Test different answers, incomplete requests and refusal to provide a phone number. Visitors should be able to rephrase or leave the journey.
3. Test languages and answer sources
Choose languages according to your customers. For a French/English journey, check the same information in both languages: availability, conditions, service names and confirmations. Automatic detection can be wrong; provide an explicit language choice.
Assign an owner to the knowledge base. They should remove expired offers and correct changed information. Test questions you cannot answer: the assistant should acknowledge its limits rather than inventing a price or condition.
4. Connect the chatbot to the CRM without losing enquiries
Specify transferred fields, contact creation or updates, duplicates and the person responsible for follow-up. Test a connection failure: retain an enquiry according to your rules, flag the failure and avoid confirming an appointment that was not created.
Limit the assistant’s permissions to necessary actions. Instructions in a conversation should not let it access other records or change an offer. Test attempts to make it disclose information or ignore its instructions.
5. Review data and suppliers
The FDPIC explains that the FADP applies to personal data processing by AI. Identify collected data, purposes, recipients, processing locations and retention periods. Review contracts and applicable transfer rules before enabling the service.
The FADP does not make every private processing activity dependent on blanket consent or require Swiss hosting in every case. Sensitive data, automated decisions and processing likely to create high risk need an appropriate assessment. Avoid collecting such data when the journey does not need it.
Tell visitors they are speaking to an assistant and explain how to reach your team. Software does not guarantee that your use complies with the law. Our data protection guide supports these checks.
6. Test before widening the scope
A common question with a known answer.
An ambiguous enquiry or one containing a typo.
Missing or outdated information.
A language change and request for human contact.
A CRM recording error.
An attempt to obtain confidential information.
Record the expected response and result for each test. Resolve problems before giving the bot more actions. Provide a way to disable it and a contact method that remains available.
7. Measure useful enquiries
Track conversations started, abandoned, handed over and qualified by a salesperson. Also check errors, duplicates and time spent correcting answers. Conversation volume does not demonstrate savings or more sales.
Fictional example: a company receives quotation requests outside working hours. The assistant explains services, collects the need and creates a request for the following day. A salesperson confirms its relevance. This example describes intended behaviour, not a client result.
Prepare deployment and maintenance
Budget for flows, integration, testing, licences and answer reviews. Compare costs with work actually avoided, including human checks. For 2027, plan owners for sources, languages and incidents. Our indicators guide helps connect tracking to commercial results.
