How do you stop an AI agent from inventing answers?

Ground it in your own documented knowledge and have it decline when the answer is not there. Retrieval against your content, plus a clear escalation path to a human, matters more than the choice of model.

What should escalate to a human immediately?

Anything involving money, cancellation, complaints or a customer who has already repeated themselves. The measure of a good deployment is how gracefully it hands off, not how much it deflects.

How do you measure whether it is working?

Resolution without follow-up contact, not deflection rate. A bot that closes conversations customers then re-open by phone has moved cost rather than removed it.

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Conversational AI

AI Agent

Knowledge Retrieval

Customer Service

Conversational AI Service Agent

An AI customer-service agent grounded in the company's own knowledge base — resolving 80% of inquiries automatically at a 90% satisfaction score.

Overview

Built and deployed an AI service agent that answers customers from the company's real documentation, not generic guesses — with conversation memory, CRM and ticketing integration, and automatic handoff to a human the moment it's out of its depth. Front-line support load dropped by half while customer satisfaction went up.

Key Results

80% automated resolution rate

90% customer-satisfaction score

50% reduction in support tickets

24/7 multilingual coverage

Technologies Used

Large Language Models

Retrieval-Augmented Generation

CRM Integration

Live Escalation

Project Category

ai agents

Related work

ai agents

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FAQ

Questions about Conversational AI Service Agent

How do you stop an AI agent from inventing answers?: Ground it in your own documented knowledge and have it decline when the answer is not there. Retrieval against your content, plus a clear escalation path to a human, matters more than the choice of model.
What should escalate to a human immediately?: Anything involving money, cancellation, complaints or a customer who has already repeated themselves. The measure of a good deployment is how gracefully it hands off, not how much it deflects.
How do you measure whether it is working?: Resolution without follow-up contact, not deflection rate. A bot that closes conversations customers then re-open by phone has moved cost rather than removed it.