Customer Support AI Voice Agent
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
I need an AI-powered voice agent that can pick up routine customer support calls and immediately provide accurate answers about our products, services, opening hours, and basic policies. The goal is to let human agents focus on complex issues while the bot confidently handles the high-volume “quick question” traffic we receive every day.
Your brief: design, train, and deploy the voice agent, then integrate it with our existing contact infrastructure so callers experience a natural, human-like conversation from the first ring. I will supply our knowledge-base articles, policy documents, and any audio branding you need; you turn that content into a conversational model that recognises intent, fetches the right answer, and speaks it back clearly.
Key expectations
• Conversational accuracy: the agent consistently understands typical caller phrasing and responds with information that matches what is in our current knowledge base.
• Smooth hand-off: when a question goes beyond the scripted scope, the agent must create a concise support ticket and transfer or flag the call for a live agent without losing context.
• Easy management: I should be able to update answers or add new FAQs without retraining from scratch.
Once live, I’ll test with a sample of real customer queries; payment is released when the agent covers at least 90 % of those questions unaided and manages proper escalation for the rest. Let me know which frameworks (Dialogflow, Amazon Lex, Microsoft Bot Framework, etc.) you recommend and how long you need to deliver a production-ready solution.
Your brief: design, train, and deploy the voice agent, then integrate it with our existing contact infrastructure so callers experience a natural, human-like conversation from the first ring. I will supply our knowledge-base articles, policy documents, and any audio branding you need; you turn that content into a conversational model that recognises intent, fetches the right answer, and speaks it back clearly.
Key expectations
• Conversational accuracy: the agent consistently understands typical caller phrasing and responds with information that matches what is in our current knowledge base.
• Smooth hand-off: when a question goes beyond the scripted scope, the agent must create a concise support ticket and transfer or flag the call for a live agent without losing context.
• Easy management: I should be able to update answers or add new FAQs without retraining from scratch.
Once live, I’ll test with a sample of real customer queries; payment is released when the agent covers at least 90 % of those questions unaided and manages proper escalation for the rest. Let me know which frameworks (Dialogflow, Amazon Lex, Microsoft Bot Framework, etc.) you recommend and how long you need to deliver a production-ready solution.
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