Support question
Visitor asks
"Do you support secure tenant isolation?"
Agent responds
"Yes. Embage is designed around database-per-tenant isolation and permissioned access for datastore, ticket, workflow, and integration actions."
Playground Preview
Test the shape of an Embage agent before you deploy one.
The public playground will show how Embage handles real business conversations: support answers, lead capture, feedback, ticket routing, datastore writes, and workflow handoffs.
Request Playground AccessDemo conversation
Website support agent
Can Embage collect a lead and create a ticket from the same chat?
Yes. The main agent can classify intent, use a lead-capture sub-agent,
write datastore details, create a ticket, and summarize the conversation for review.
Scenarios
Conversations the playground will demonstrate
Lead capture
Visitor asks
"Can I use this for inbound demo requests?"
Agent responds
"Yes. An Embage agent can qualify the visitor, collect work email and company details, score intent, and push the lead into a datastore, ticket, or feedback store."
Feedback collection
Visitor asks
"I want users to leave detailed product feedback."
Agent responds
"Embage can ask follow-up questions, summarize feedback, store sentiment, and create structured records for product review."
Capabilities
What buyers should test
A useful demo should prove that an AI agent can do work, not only produce a friendly answer.
Answer from a trusted knowledge base
Collect leads, tickets, feedback, and reviews
Use sub-agents for specialized tool calls
Run post-conversation workflows
Embed voice or chat agents on a website
Review summaries, intent, gaps, and conversation quality
FAQ
Is the playground a live agent yet?
The live public playground is being prepared. This page explains the scenarios the playground will demonstrate and gives buyers a stable page for evaluating Embage agent behavior.
What will I be able to test?
The playground will focus on support answers, lead capture, feedback collection, datastore and ticket routing, and post-conversation workflow behavior.