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Ai Document Review

DevOps community

Description

A Solution Accelerator bringing together the latest AI agentic patterns and Azure services to automate the first line of review for documents across any domain.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

AI Document Review

The _AI Document Review_ Solution Accelerator is a powerful and customizable solution that brings together the latest AI agentic patterns and services to enhance the review process for documents across various domains where compliance and accuracy of content is critical. Whether it's legal, regulatory, technical, or other types of content, users can define specific "review agents" through guideline prompts to determine what issues Large Language Models (LLMs) should look for, making the tool adaptable to a wide range of use cases and an ideal place to start for teams looking to streamline their document review processes using AI.

Built on Azure AI Foundry, Azure AI Services (including Document Intelligence and Azure OpenAI models) and integrated with Azure Storage and Azure Cosmos DB, the accelerator demonstrates a robust design for ingesting documents, extracting text, identifying issues using AI agents, and displaying the results to users in a web UI, and provides a pattern for feedback collection, evaluation and continual prompt improvement, all of which can be built upon for your own production use cases.

![UI](./docs/images/ui_review_issues.png)

How It Works

  1. Upload PDF Documents: Users provide PDF files through the web interface.
  2. Define Domains via AI Prompts: Users can either choose from a set of pre-configured example prompts or create their own custom prompts for specific document domains (e.g., legal, technical).
  3. Automated Text Extraction: Document Intelligence extracts the text content from the document.
  4. AI Analysis: The application uses the provided AI guideline prompts to identify issues within the document.
  5. Actionable Feedback: Users receive a list of issues with explanations and suggestions for addressing them.
  6. Interactive Review: Issues can be accepted or dismissed by the user within the web application, and feedback can be provided on each dismissed issue to improv