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Case StudiesFebruary 10, 20265 min
Custom AI Chatbots: Beyond FAQs for Customer Service
Old closed-response bots are dead. Today we train autonomous agents on company documents for 24/7 support indistinguishable from a human operator.
Customer care is often an expensive bottleneck for companies. Traditional "button" bots cause user frustration. The breakthrough? AI agents trained on RAG (Retrieval-Augmented Generation).
The ticket abandonment rate has dropped to zero, and requests escalated to the human team have decreased by 85%.
The E-quipe Method
We don't just plug in an API. At E-quipe: 1. We analyze and structure company manuals, return policies, and ticket history. 2. We transform this knowledge base into vectors. 3. We create a bulletproof "System Prompt" to ensure the bot responds with the exact tone of voice (ToV) of your brand, without ever hallucinating non-existent information.The "Cesare" Case Study
We recently developed an assistant for complex sporting events capable of handling registrations, logistics, and schedules in 4 languages simultaneously, managing peaks of 500+ requests per minute.The ticket abandonment rate has dropped to zero, and requests escalated to the human team have decreased by 85%.
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E-quipe Dev
Digital Laboratory
