ChatGenie, a customer engagement platform, utilizes a multi-AI agent framework to handle customer inquiries more effectively. Unlike traditional chatbots, ChatGenie employs multiple AI agents to break down complex requests, preventing AI hallucination and enabling human BPO employees to focus on tasks requiring empathy and creativity.
'Imagine you have multiple AI agents that break down a specific customer service inquiry unable to come up with an accurate response,' ChatGenie chief executive officer and co-founder Ragde Falcis says
“The way we describe it is technical but to put it in simple terms — imagine you have multiple AI agents that break down a specific customer service inquiry unable to come up with an accurate response.” “We signed up two enterprises and we’re in the final stages of discussions with two additional telco enterprises,” Falcis said.Marco Casalaina, vice president of products at Azure AI of Microsoft, wrote in September 2024 that multi-agent systems are getting popular due to their “
“As you know, we have this new AI trend… there are malicious attempts like prompt injection that can expose data through the AI prompts,” Falcis said.Once the prompt guard AI agent gives the go signal, the classification AI agent then determines if the inquiry can be considered a general query. The conversation AI agent then drafts a response.
Artificial Intelligence Chatbots Customer Service Multi-Agent Systems BPO
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