A customer may ask for a quotation on WhatsApp after business hours. An AI chatbot can acknowledge the enquiry, answer from approved information and collect the details your sales team needs. The useful outcome is a clear next action: a consultation request, a follow-up task or a handover to the right person. Whether that improves sales depends on the offer, response process and quality of the conversation.
What should a Singapore SME chatbot do?
Begin with the enquiries your team already handles. A service company might need answers to opening hours and service coverage, while a distributor may need product specifications, stock enquiries or a quotation request. Separate questions that can be answered from approved material from tasks that require a current system record or a staff decision.
For a quotation enquiry, the chatbot might ask about the product or service, quantity, location and preferred contact method. It can then send a structured summary to a salesperson. It should not promise a final price or delivery date unless those details come from a connected and reliable source.
A real, anonymised WhatsApp project
ADSM has built an AI WhatsApp workflow for a professional-services company. The project reflects a common business need: respond to incoming questions, capture useful context and direct the next step to the team. We are keeping the customer anonymous and are not presenting its results as a general conversion benchmark. The right design for another company would depend on its services, approved answers and follow-up process.
Website chat or WhatsApp?
A website chatbot can help a visitor while they are comparing services or reading a product page. WhatsApp may fit an ongoing conversation in a channel the customer already uses. Some businesses need both, but adding more channels does not solve an unclear workflow. Decide where enquiries arrive, who owns each follow-up and what information should move between channels. Platform features, usage terms and messaging costs should be checked against the provider’s current offering.
Design the handover before automating
Give the assistant approved service information, examples of common questions and rules for when it must ask a person. Define how the team receives an enquiry: email, CRM record, ticket or another existing process. A useful handover includes the customer’s question, details collected, what the assistant answered and anything still unresolved.
Test vague questions, unusual requests and outdated information. If the assistant is uncertain, it should say so and pass the enquiry on. If a workflow needs a CRM, booking or quotation system, confirm the integration scope and access controls before promising that the assistant can take action.
Measure useful enquiries, not just messages
Review how many conversations lead to a defined next step, how many need staff help, and whether the team actually completes follow-up. Compare this with the current manual process. Chat volume alone does not show whether customers received the information they needed or whether a lead became a sale.
Discuss an AI chatbot for your business
ADSM can assess website and WhatsApp chatbot workflows for Singapore SMEs, including approved answers, enquiry capture, integrations and human handover. Explore our AI chatbot service in Singapore, read the customer-service implementation guide, or tell us how your team handles incoming enquiries.