# Running Missions

UnifAI Agent — your AI companion runs guided, auto-executable workflows that get your security and compliance work done. When you pick a mission, the agent handles the steps, prompting you take action as needed.

## Starting a Mission

To start a mission:

1. In UnifAI, select **Launch Mission Control**.
2. Choose a Mission type that matches your goal.
3. Click **Start** to run the mission.

A specialized agent called the Policy Selector Agent automatically loads the relevant policy catalog for your mission context. For example, it loads the PII definition for a data security mission. The agent then maps your intent to specific policies and selects those appropriate for each type of AI asset in your environment. The AI agents, MCP servers, and models each receive policies tailored to their role.

4. UnifAI Agent displays a structured table labeled **Policies I will enable**. The table lists each policy, the AI asset types it applies to, and its category. Review the full set of proposed policies and select the **Approve** button to proceed.

After you approve the policies, UnifAI activates each policy across your entire asset fleet. A progress bar shows real‑time enforcement. When the process completes, all policies show an active status.

### Consistent Enforcement

The mission becomes active and remains in effect without additional configuration. Policies continue to apply, and newly created AI agents, models, or MCP servers are automatically added to the mission scope. You do not need to revisit settings or reapply controls as your environment grows.

The Lineaje AI chat provides ongoing visibility by summarizing the current security posture in natural language. It explains which policies are active, which assets are in scope, and how the Mission is enforcing protection across your environment. To learn more, see [Lineaje AI Assistant](/unifai/lineaje-ai-ai-assistant.md)?


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.veedna.com/unifai/missions/running-missions.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.