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AI Actions

Your agent does more than answer

With AI Actions, Muchat understands user intent, chooses the right action, and runs tasks like human handoff, ticket creation, or API calls directly inside the conversation.

Active conversation

Running
I want to talk to an operator. My order is stuck.
Got it. I’ll route this to support with the order details and conversation summary.

Running action: Human handoff

Active rule: human request + order topic

Operator connected

Conversation summary, user intent, and order number were sent to the support team.

Human handoff

01

When a conversation needs a person, the agent routes the user to the right team with full context.

Safe route

Create ticket

02

The agent can summarize the issue, set priority, and create a support ticket.

Trackable

Call API

03

For order status, invoices, inventory, or internal data, a controlled action is executed.

System connected

Connect business tools so agents fetch data and act on systems, not just answer questions

Your customers can resolve billing and subscription requests without ever leaving the conversation.

Calendly
Slack
WooCommerce
Salesforce
Sunshine
HubSpot

Supports integrations like Calendly, Slack, HubSpot and more

View all
Action flow

From user intent to result, everything happens inside chat

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

Intent

The agent detects whether the user needs an answer, a task, or a human operator.

01

Choose action

Decision

Based on rules and context, the right action is selected: ticket, API, or handoff.

02

Execute safely

Run

The action runs with controlled inputs, limits, and the configured access level.

03

Return result

Result

The action result is shown in the conversation and recorded for the team.

04
Action library

Ready actions for real support and sales work

This first page focuses on core actions. Later we can expand each scenario, UI state, and detail.

Human handoff

Human handoff

Route the conversation with summary, escalation reason, user details, and priority.

Create ticket

Support ticket

Create a ticket from the conversation for errors, requests, or customer issues.

Call API

API call

Connect to internal systems to read order status, create invoices, or submit requests.

Book meeting

Booking

Suggest times, collect details, and book meetings for sales or support teams.

Control and safety

Every action should be controlled, reviewable, and trusted

AI Actions should not do sensitive work without rules. Actions run with permissions, limits, and clear logs.

Approval before execution

For sensitive actions, require user approval, team approval, or limited execution.

Rules and limits

Each action has allowed inputs, execution conditions, error messages, and fallback behavior.

Complete event logs

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.

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