Intent-Based Chat Replies

Dialogflow reads a user's message and matches it to an intent a team has already built and approved, such as a question about order status or business hours. A Beam agent takes that matched intent, checks whether a preset, approved response covers it, and posts that reply back into the chat, whether that is a website widget, messaging app, or phone system. It reads the conversation history first to keep context. Messages Dialogflow cannot match to any intent with confidence, or that touch billing, cancellations, or complaints, are passed to a human agent to answer directly.

Conversation Handoff to Agents

Not every conversation belongs with a bot, and Dialogflow can mark when a conversation falls outside what it was built to handle. A Beam agent watches for that signal, along with cases a support policy already defines as needing a person, such as a repeated failed match or a request to speak with someone, and moves the conversation into the queue a live agent works from, carrying over the message history so nothing is repeated. It never continues a bot reply once a handoff condition is met. The agent that receives the conversation decides how to proceed from there.

Conversation Record Updates

Each Dialogflow session carries a record of what was asked, which intent matched, and how the conversation ended. A Beam agent reads that record once a conversation closes and adds a note to the matching contact or ticket in a CRM or help desk, so a person looking at that record later can see what the bot handled without opening the chat tool separately. It writes only fields a team has already mapped between the two systems. Conversations without a clear matching contact, or fields the mapping does not cover, are left out of the note and flagged for a person to add by hand.