# In Microsoft Word

**Ensis for Microsoft Word** brings the power of AI-assisted proposal writing directly into your document, streamlining the process of generating, revising, and refining responses to RFPs. Designed to integrate seamlessly into your workflow, Ensis for Word leverages AI and your organization’s knowledge base of Resources to help you craft high-quality, compliant, and competitive proposal content—without switching between tools.

With Ensis for Word, you can:

✅ **Generate** AI-powered responses to requirements using relevant past experience.

✅ **Revise** existing content with custom prompts to refine tone, clarity, and compliance.

✅ **Select Resources** to guide content generation with your company’s prior proposals and knowledge base.

By meeting you where you work, Ensis enhances efficiency, ensures consistency, and helps your team submit stronger proposals with confidence. Watch our how-to video or explore the guides below to learn more.

{% embed url="<https://youtu.be/EJU75v54uKM>" %}

Explore the key features of Ensis for Word:

{% content-ref url="/pages/F0H5saNLyaaDzSyVaT2E" %}
[Generate Responses](/ensis-documentation/product-guides/proposal-writing/in-microsoft-word/generate-responses.md)
{% endcontent-ref %}

{% content-ref url="/pages/fc1Fv72qpLOb4SrXMxWi" %}
[Revision](/ensis-documentation/product-guides/proposal-writing/in-microsoft-word/revision.md)
{% endcontent-ref %}

{% content-ref url="/pages/c7qiN8ClEZ89VvrSgkmz" %}
[Resource Selection](/ensis-documentation/product-guides/proposal-writing/in-microsoft-word/resource-selection.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/in-microsoft-word.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.