Build an AI Assistant That Knows What It Can Answer, What It Can Do — and When It Should Hand the Conversation to a Human.

Build an AI Assistant That Knows What It Can Answer, What It Can Do — and When It Should Hand the Conversation to a Human. A conversational AI system can help a business: Answer routine questions. Qualify leads. Guide website visitors. Explain services. Collect requirements. Route enquiries. Search internal knowledge. Summarise conversations. Book approved appointments. Create CRM records. Provide multilingual support. Reduce repetitive support work. But it can also: Invent pricing. Invent policy. Misrepresent services. Misquote regulations. Collect unnecessary personal data. Misroute high-value leads. Give unsafe advice. Ignore uncertainty. Act outside its authority. Sound confident when it is wrong. KPM Media Lab designs conversational AI around a simple operating rule: ANSWER WHAT IS GROUNDED. ACT ONLY WITH PERMISSION. ESCALATE WHAT REQUIRES JUDGMENT. Potential systems include: Website assistants. Lead qualification assistants. Customer-service assistants. Internal knowledge assistants. Sales-assist chat. Appointment assistants. FAQ assistants. Service-selection assistants. Multilingual chat. Employee help assistants. Voice-enabled conversational systems where appropriate. Discuss Conversational AI Explore KPM Media Lab

Business: Adds: An: AI: Chatbot. Visitor: Asks: “How much does this service cost?” Bot: Invents: A: Price. Visitor: Asks: “Is approval guaranteed?” Bot: Says: “Yes.” Visitor: Asks: “Can you give me legal advice?” Bot: Answers: Anyway. Visitor: Provides: Sensitive: Information. Bot: Stores: Everything. Sales: Never: Receives: The: Conversation. Management: Calls: It: “AI transformation.” The: Website: Now: Has: A: Faster: Way: To: Create: Wrong: Expectations.

Conversational AI is: A: System that: Interprets: Natural-language: Inputs, retrieves or: Generates: Relevant: Responses, and: May: Trigger: Approved: Actions inside: A: Controlled: Conversation: Workflow.