# Welcome to Ensis

Ensis is an AI-powered platform that makes structuring, writing, and refining proposals faster and easier. Whether you're tackling a complex, detail-heavy bid or a fast-moving opportunity, Ensis helps you extract key requirements, generate high-quality responses, and ensure compliance—so you can focus on crafting a winning proposal.

## **What You’ll Learn in This Guide**

This documentation covers the key features that will help you maximize Ensis:

🤖 **Generating & Revising with AI** – Leverage AI to draft responses, refine content with targeted revisions, and ensure consistency across your proposal.

📝 **Authoring with Ensis for Word** – Use the Ensis add-in for Microsoft Word to generate, revise, and refine proposal content directly within your document.

📂 **Managing Resources** – Build and maintain a knowledge base of past proposals and reference materials to enhance AI-generated responses.

📑 **Extracting & Organizing Requirements** – Automatically identify key requirements from RFP documents and structure them into a compliant outline.

## **Get Started**

Ready to dive in? Start with our **Quickstart Guide** to set up your first proposal and explore Ensis’s AI-powered capabilities. **Invite your teammates** from the **Settings** page to collaborate on proposals and streamline your team's workflow.

{% content-ref url="/pages/WcgWoTnDtZIteMEazSPB" %}
[Quickstart](/ensis-documentation/fundamentals/quickstart.md)
{% endcontent-ref %}

{% content-ref url="/pages/7e5GKcW2y0GkWyjAenZL" %}
[Inviting Teammates](/ensis-documentation/fundamentals/inviting-teammates.md)
{% endcontent-ref %}


---

# 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://ensis-ai.gitbook.io/ensis-documentation/welcome-to-ensis.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.
