For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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HomeDocsAPI ReferenceMCP ServerChat SDKsRelease Notes
HomeDocsAPI ReferenceMCP ServerChat SDKsRelease Notes
  • Welcome
    • Getting started
    • Key concepts
    • Dashboard navigation
    • Agent logic
    • Improvement tactics
  • Knowledge
    • Content ingestion
    • Article management
  • Automation
    • Actions
    • Processes
    • Playbooks
    • Proactives
      • Proactive messaging
    • Greetings
    • Custom Instructions
    • Variables
  • Setup
    • Persona
    • Languages
    • Redactions
  • Handoffs
    • Handoff management
    • Salesforce
    • Zendesk
  • Channels
    • Chat
    • Voice
    • Email
    • Social
    • Third party
  • Optimization
    • Testing
    • Conversations
    • Coaching
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Automation

Proactive Conversations

Overview
Not sure where to begin? Explore our Getting started guidelines to set up your first AI Agent, review Key concepts to understand the essentials, or check out Improvement tactics to resolve issues and keep things running smoothly.

Proactive Conversations enable your AI agent to engage customers at the right time with the right message. Once a customer responds, the conversation context can trigger a relevant Process.

Before getting started with Proactive Conversations, make sure your AI Agent’s core elements—like Knowledge, Actions, and Processes—are in place. Other core features may also apply depending on your setup.

This section covers how to use Proactive Conversations to engage customers. You’ll learn how Proactive Conversations work, how to create them using static messages or message templates, and how to disable Greetings.

Proactive Conversations

Have any questions? Contact your Ada team, or email us at help@ada.cx.

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Proactive messaging

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