# Doc Analyst

### Overview

EmpowerGPT’s **Doc Analyst** is a specialized GenAI-powered app designed to analyze the enterprise documents through user-defined, purpose-built questionnaires. Whether working with reports, contracts, policies, financial records, or any other corporate documents, Doc Analyst streamlines the extraction of meaningful insights—making it a core tool for modern organizations.

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### **Key Capabilities**

#### **Precise Answer Extraction**

Doc Analyst generates highly accurate, reference-backed answers to custom questions by interpreting the content of selected documents.

#### **Purpose-Specific Questionnaires**

Users can design tailored questionnaires aligned with specific business workflows—such as compliance checks, contract reviews, audit preparation, policy validation, or document summarization.

#### **Effortless Knowledge Dataset Integration**

Datasets can be created by importing files or folders directly from the EmpowerGPT app, enabling seamless access to enterprise documents during analysis.

#### **Comprehensive Analysis Capabilities**

The tool supports detailed, question-by-question analysis, allowing users to review, regenerate, and refine results. Each response includes document references with page-level citations.

#### **On-the-Go Modification & Regeneration**

After reviewing results, users can edit questions and automatically regenerate updated responses—without rerunning the entire analysis.

#### **Active Collaboration with Team Members**

Teams can work together by reviewing shared analyses, editing questionnaires, and collectively refining insights to ensure completeness and accuracy.


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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://docs.empowergpt.ai/apps/doc-analyst.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.