Chatbot e automazione
Automate customer conversations and multi-step workflows across channels
Run conversational AI agents and visual workflows across WhatsApp, Apple Messages for Business, SMS, RCS, and Email, with structured pickers, webhook actions, and live human handoff.
Chatbot e automazione
Conversational AI and visual workflow orchestration across messaging and email
Visual workflow builder. Trigger multi-step runs in Automations from inbound SMS, email, or WhatsApp messages, application webhooks, or recurring schedules, and test drafts against sample payloads before publishing.
Human handoff in Conversations. Collect order numbers, account details, or intent up front and transfer complex threads to support agents in Conversations with the full message history attached.
Interactive channel components. Let customers check order status, reschedule appointments, and complete payments using WhatsApp flows, Apple Messages list pickers and time pickers, and RCS quick replies.
Dedicated Email AI mailboxes. Route quote-stripped inbound emails to dedicated agent mailboxes so AI agents can classify intent, look up account context, and reply in the same thread.
Contact context and dynamic templates. Personalize automated replies using stored contact properties, audience memberships, and live webhook payload variables across up to 25 language variants.
Webhooks, REST APIs, and Bird MCP. Call external HTTP endpoints mid-workflow, resume paused runs from backend events, and connect AI agents directly to Bird through the MCP server and CLI.
Domande frequenti
What customer workflows can we automate with Bird?
Can we build workflows visually as well as in code?
Which messaging and email channels are supported?
How does handoff between AI agents and human support work?
How do workflows connect to our backend systems?
How do we test changes before putting an automation live?
Mettilo in pratica.
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