AI Chatbot Development

Choose a specific customer-support task

Start with a small group of recurring questions, such as service availability, appointment steps or where to find product information. Identify answers that must come from approved content and situations that need a person. A chatbot should not invent prices, commitments or account-specific information.

An assistant scope can include

• A website chat interface connected to an agreed AI provider.
• Answers based on supplied business documents or website content.
• Enquiry capture with the visitor’s knowledge and an agreed handoff.
• Conversation limits, fallback messages and usage monitoring.

Quality needs review after integration

We review sample questions, unsupported requests and attempts to obtain information outside the intended scope. Staff should know how to update the knowledge source and escalate a conversation. AI responses can still be inaccurate, so sensitive decisions and important commitments require appropriate human review.

Costs and access depend on the integration

Model usage, hosting and any channel subscriptions are separate running costs. If the assistant needs CRM or account access, we scope permissions explicitly. Share your support questions, approved answers and desired handoff before discussing advanced features. Start with a measurable task rather than an unrestricted assistant.

Example brief: A service-enquiry assistant

Start with approved service information and a callback-request handoff. Write expected questions and approved answers, including requests for unlisted prices or unsupported commitments. Define when the assistant should refer a visitor to staff. Evaluate response accuracy and the enquiry handoff, rather than only checking that the chat window opens.

Discuss your requirements

Share your requirements so we can discuss scope, responsibilities and a suitable approach.