How to Build a Custom AI Customer Support Agent in Embage: Step-by-Step Guide
A complete walkthrough on creating a customer support AI receptionist: building knowledge bases, datastores, sub-agents, integrations, and database isolation.
A complete walkthrough on creating a customer support AI receptionist: building knowledge bases, datastores, sub-agents, integrations, and database isolation.
How Embage agents use 1-click Gmail connection, specialized sub-agents, and post-conversation workflows to search, draft, and send Gmail follow-ups automatically.
Discover how Embage enables non-technical teams to configure, customize, and deploy secure AI voice and chat receptionists in 30 seconds.
How Embage keeps AI agent costs predictable by separating model budgets from capped monthly action quotas (knowledge base searches, CRM writes, and integrations).
How Embage e-commerce agents use Shopify integrations, CRM datastores, and sub-agents to answer product questions and drive sales.
A complete overview of Embage's voice and chat AI agent engine, sub-agent tools, CRM datastores, app integrations, and platform comparisons.
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AI Agent Use Cases
Support, leads, feedback, datastores, and workflows.
PlatformPlatform Features
Knowledge bases, datastores, sub-agents, and embeds.
ComparePlatform Comparisons
See how Embage compares to other AI agent tools.
Free ToolPrompt Generator
Starter prompts for support, lead, and feedback agents.