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

# Introduction

AI Activation in AI Squared refers to the process of operationalizing your AI models—bringing model outputs directly into business tools where decisions are made.

This capability allows teams to go beyond experimentation and deploy context-aware AI insights across real business workflows, such as CRMs, service platforms, or internal tools.

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## What AI Activation Enables

With AI Activation, you can:

* **Connect any AI model** from cloud providers (e.g., SageMaker, Vertex, OpenAI) or your own endpoints
* **Define input & output schemas** to standardize how models consume and return data
* **Visualize model results** using low-code Data Apps
* **Embed insights directly** inside enterprise applications like Salesforce, ServiceNow, or custom web apps
* **Capture user feedback** to evaluate relevance and improve model performance over time

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## Core Concepts

| Concept         | Description                                                                                              |
| --------------- | -------------------------------------------------------------------------------------------------------- |
| **AI Modeling** | Configure how input is passed to the model and how output is interpreted.                                |
| **Data Apps**   | Visual components used to surface model predictions directly within business tools.                      |
| **Feedback**    | Capture user responses (e.g., thumbs up/down, star ratings) to monitor model quality and iterate faster. |

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## What's Next

Start by configuring your [AI Model](./ai-modeling), then move on to building and embedding [Data Apps](./data-apps) into your business environment.