# On Web

Ensis is an AI-powered proposal writing platform designed to help teams efficiently structure, draft, and refine responses to government and enterprise RFPs. By leveraging AI-assisted **requirement extraction, response generation, and compliance tracking**, Ensis streamlines the proposal process—ensuring accuracy, consistency, and alignment with your strategy. With Ensis, you can:

✅ **Organize proposals with ease** – Automatically extract key requirements and structure them into a compliant outline.

✅ **Generate high-quality responses** – Use AI-powered Retrieval-Augmented Generation (RAG) to draft responses based on your past proposals and company knowledge.

✅ **Refine and revise content effortlessly** – Customize tone, clarity, and compliance with AI-driven revisions, and store key facts for future proposals.

✅ **Ensure compliance at every step** – Track requirement coverage and make data-driven adjustments to strengthen your proposal.

Ensis meets you where you work, integrating seamlessly into your workflow to **save time, enhance quality, and increase your win rate.** Explore the key features of Ensis on web:

{% embed url="<https://youtu.be/MCxMxvqbYlg>" %}

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[Outline View](/ensis-documentation/product-guides/proposal-writing/on-web/outline-view.md)
{% endcontent-ref %}

{% content-ref url="/pages/cGQsdTNExSCeZMIbrKnC" %}
[Narrative View](/ensis-documentation/product-guides/proposal-writing/on-web/narrative-view.md)
{% endcontent-ref %}

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[Revision](/ensis-documentation/product-guides/proposal-writing/on-web/revision.md)
{% endcontent-ref %}


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# 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/product-guides/proposal-writing/on-web.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.