Users don't follow scripts. They ask vague questions, change their minds mid-conversation, and throw in requests you didn't anticipate. Conversational AI handles it. "What's your refund policy for international orders placed over 90 days ago using a corporate card?" gets understood and answered. "Actually, change that to 60 days" gets processed as a follow-up without confusion. When you truly want to automate customer experience in the right way, you need a solution that helps people ask multiple follow-up questions naturally.

Enable chat history in your AI Agent, and every message builds on what came before. The Agent remembers what the user said three messages ago. References carry forward. "What about the other option?" doesn't confuse it. The Agent knows which options were discussed. "Change that to blue" works because it recalls what "that" refers to. Conversations flow naturally because the Agent isn't treating every input as isolated. Context persists. Meaning accumulates.

Your AI Agent's personality, tone, and conversational style come from the prompt you write when building it. Formal and technical for enterprise sales. Warm and empathetic for customer support. Direct and efficient for internal tools. The prompt defines how the Agent speaks, what language it uses, and how it structures responses. No separate configuration panels. No personality sliders. Write the tone you want into the Agent's instructions, and that's the tone users experience.

Conversational AI handles multiple languages without separate Agent builds. A user starts in English, switches to Spanish mid-conversation, and the Agent responds in Spanish. No manual language selection required. The Agent detects the shift and adapts. Speech-to-text and text-to-speech features make it easier for users to communicate the way they want, whether typing or speaking. Customize AI Agents for specific languages if your use case requires regional nuances or localized terminology. Support global users without building separate workflows for each language.

We understand that when you deploy a Conversational AI Agent, guardrails matter. Your business's reputation is online. If the Agent says something inappropriate or shouldn't have been said, that reflects on you. Tell your AI Agent what's in scope and what isn't through the prompt. If you've attached a Knowledge Base, the Agent knows to answer only questions covered in that content. When users ask about topics outside your company's purview, the Agent declines clearly. No accidental answers to irrelevant queries.

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Configure escalation rules directly in your AI Agent's prompt. If a user expresses frustration beyond a certain threshold, escalate. When escalation happens, all conversation context transfers to the human agent automatically. Users don't repeat themselves. The human agent sees everything the user shared. The full conversation thread, uploaded documents, and all relevant details. The built-in context passing means smoother handoffs and faster resolution, without forcing users to start over.

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