Amara supports a travel agency by answering after an intentional three ring delay, holding a brief reassuring conversation, identifying the caller’s travel need, collecting approved trip details, and preparing a structured handoff for a human travel advisor.
Missed calls can become missed opportunities, but callers may not want a long AI interaction. The goal was to improve responsiveness and information capture while keeping the human travel advisor central.
The experience waits through an intentional three ring delay before answering, then clearly introduces Amara as an AI assistant. It asks only minimal approved questions, clarifies when a caller’s answer needs context, and returns the organized inquiry to a human advisor quickly.
Conversation Architecture
Amara is not a rigid script. The central conversation can clarify and adapt within approved boundaries before it prepares the handoff.
Central Hub
Two Way Conversation
What Amara Captures
Illustrative After Call Summary
Human Oversight and Safeguards
Amara supports responsiveness and organization but does not replace professional judgment. Approved knowledge limits what the system can say. Escalation rules return sensitive, uncertain, or decision based moments to a person, while human review keeps the final travel guidance, commitments, and service relationship with the advisor.
What I Designed
What I Learned
Callers need quick reassurance, fewer questions, and a clear path back to a person. That principle shaped the conversation design and remains a design lesson, not a performance claim.
Evidence Gallery
30–45 second audio demonstration
Evidence to add
Redacted conversation transcript
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Voice agent configuration screen
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Example after call summary
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