Human handoff
Human handoff
Route the conversation with summary, escalation reason, user details, and priority.
Your customers can resolve billing and subscription requests without ever leaving the conversation.
The agent pulls live products, prices, and variants straight from WooCommerce, so shoppers can browse, pick options, and place an order without leaving the conversation.
Let customers grab a slot on your calendar mid-conversation, with real-time availability so you never double-book.
When a request needs a human, the agent opens a ticket in your helpdesk with the full conversation attached.
Connect the agent to any REST endpoint to fetch data or trigger workflows across your own systems.
Learn moreSupports integrations like Calendly, Slack, HubSpot and more
AI Actions lets your agent do more than send text. It can choose the right tool, collect required inputs, run within rules, and return the result to the user.
Action execution engine
Before execution, the agent checks intent, sensitivity, required data, and configured permissions.
Enabled actions
12
Avg runtime
1.8s
Understand request
IntentThe agent detects whether the user needs an answer, a task, or a human operator.
Choose action
DecisionBased on rules and context, the right action is selected: ticket, API, or handoff.
Execute safely
RunThe action runs with controlled inputs, limits, and the configured access level.
Return result
ResultThe action result is shown in the conversation and recorded for the team.
This first page focuses on core actions. Later we can expand each scenario, UI state, and detail.
Human handoff
Route the conversation with summary, escalation reason, user details, and priority.
Support ticket
Create a ticket from the conversation for errors, requests, or customer issues.
API call
Connect to internal systems to read order status, create invoices, or submit requests.
Booking
Suggest times, collect details, and book meetings for sales or support teams.
AI Actions should not do sensitive work without rules. Actions run with permissions, limits, and clear logs.
For sensitive actions, require user approval, team approval, or limited execution.
Each action has allowed inputs, execution conditions, error messages, and fallback behavior.
Your team can see which action ran, with which input, and in which conversation.
Join thousands of businesses building AI assistants with Muchat to support customers at any scale, across chat, messaging apps, and voice.

