> ## Documentation Index
> Fetch the complete documentation index at: https://docs.upsolve.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Deployment Overview

> Embed and deploy your agent natively in your product for your end-users

## Overview

To deploy your dashboard, you will need to take the steps laid out below:

1. [Backend Setup](/ai-agent-builder/deploy-agents/backend-setup) - This allows you to set up user authorization for Upsolve AI to provide appropriate data access based on your [tenant](/embedded-bi/data-permissioning/overview#tenants) permissioning set up.
   Please refer to [RLS & Schema Filtering](/embedded-bi/data-permissioning/rls-management) on how to best structure your tenancy.

2. [Frontend Setup](/ai-agent-builder/deploy-agents/frontend-setup) - These frontend setup allows you to embed and deploy your dashboards within your product frontend.

These are required for a *one time setup* that should take no longer than 30 minutes!

Building your own chat UI instead of embedding the iFrame? See
[Save AI Charts to a Dashboard](/ai-agent-builder/deploy-agents/save-charts-to-dashboard)
for the full API flow: stream a chat, capture the generated chart, and let
users save it to a dashboard with one click.