Ideas into capability.
Define the conversation’s purpose
A booking agent and a service assistant may use the same underlying tools but need different conversations. Start with a small set of permitted outcomes. For each one, define the information required, the system of record, and the point at which the caller should confirm an action. Keep the language direct and make it clear that the caller is interacting with an AI assistant.
Design for interruptions
People change their minds, ask follow-up questions, and provide information in an unexpected order. Treat these as part of the experience. The conversation should retain relevant context, ask focused clarifying questions, and avoid making callers repeat details unnecessarily. Confirmation matters most when a detail changes the action, such as a date, address, or reference number.
Make escalation a complete step
A handoff should transfer more than a phone call. Give the human agent a concise summary of the request, the information already gathered, and the reason for escalation. The caller should know what is happening next. Design a fallback for cases where an agent or connected system is unavailable, rather than leaving the conversation in a loop.
Review the complete journey
Evaluate representative calls from greeting through completion or handover. Look at whether the task was understood, the permitted action was performed correctly, and the caller could recover from a misunderstanding. Conversation summaries and reviewer notes can reveal recurring gaps. Use those observations to refine the flow before expanding its scope.
Thinking about a workflow of your own?
Bring the problem, the context, and the questions. We can help you define a useful first step.
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