AI Agent Use Cases
Embage turns chat and voice conversations into support answers, lead records, tickets, feedback, datastore updates, and post-conversation workflows.
Workflows
Each use case starts with a conversation, then uses trusted knowledge, permissions, and integrations to complete useful work.
Resolve repetitive questions before they become tickets.
Embage agents answer from your knowledge base, collect missing context, create tickets when needed, and escalate only the conversations that need a human.
Outcomes
Agent workflow
Qualify buyers through natural chat or voice conversations.
Instead of sending visitors to a static form, Embage can ask qualification questions, capture buying intent, enrich datastore records, and trigger follow-up workflows.
Outcomes
Agent workflow
Capture richer feedback than a form can collect.
Voice and chat agents can ask follow-up questions, summarize user sentiment, store suggestions, and surface product gaps from real conversations.
Outcomes
Agent workflow
Help visitors find products with conversational guidance.
For commerce stores, Embage can answer product questions, recommend items from store knowledge, capture buyer preferences, and hand off complex requests.
Outcomes
Agent workflow
Let agents write structured operational data.
Agents can read, write, or append datastore and ticket records based on permissions, so every conversation leaves useful structured data behind.
Outcomes
Agent workflow
Trigger the next action after every conversation.
Run workflow steps after a conversation: send emails, update tools, assign tasks, create knowledge base candidates, or push data into integrations.
Outcomes
Agent workflow
Industries
The exact data changes by business, but the pattern stays the same: understand intent, use trusted knowledge, write structured records, and trigger the next step.
Deflect support questions, capture product feedback, qualify demo requests, and sync conversation summaries into datastore or ticket systems.
Guide shoppers, answer product questions, collect order concerns, and turn uncertain visitors into structured leads or tickets.
Handle appointment questions, capture client requirements, collect feedback, and route follow-up tasks to the right team member.
Setup
Start narrow, prove the workflow, then add more sub-agents and integrations.
Create a voice or chat agent for the workflow.
Connect the knowledge base the agent should trust.
Add CRM, ticket, or feedback stores with clear permissions.
Create sub-agents for specialized tool calls and integrations.
Embed the agent on your website with a secure iframe snippet.
Review conversation insights and improve the workflow over time.
FAQ
The best first deployment is usually the workflow with high volume, clear rules, and obvious handoff points.
Most teams should start with the workflow that already creates repetitive manual work: support questions, lead qualification, feedback collection, or ticket routing.
Yes. One agent can route conversations by intent and use specialized sub-agents for tasks like searching knowledge, writing datastore entries, creating tickets, or triggering integrations.
You can start with one knowledge base, then split content by product, team, or workflow as your agent setup grows.
Private Beta
Request access and tell us whether you want to start with support, leads, feedback, datastores, tickets, or workflows.
Request Early Access