# Overview

> Model deployment is a critical phase in the lifecycle of a machine learning project, and ensures that the developed model is effectively integrated into an automation workflow.

Model deployment is a critical phase in the lifecycle of a machine learning project, and ensures that the developed model is effectively integrated into an automation workflow.

This section outlines the process and best practices for deploying generative extraction models for unstructured and complex documents within the UiPath® Automation Cloud™ platform.

## The model deployment process

1. Publish **Unstructured and complex documents** projects, or individual model versions.
2. Manage the published projects.
3. Consume the published projects.