Automate Compliance Evidence Collection with AI

Compliance audits require comprehensive evidence trails, often involving hundreds of screenshots across multiple systems. Your compliance teams likely spend hours manually navigating through GitHub repositories, AWS consoles, and internal applications, capturing screenshots at each step. This manual process is time-consuming, error-prone, and difficult to reproduce consistently across audit cycles.

This post demonstrates how we automated audit workflows using Amazon Bedrock and browser automation. We will show you how to build a similar system for your organization. You will learn about the architectural decisions, implementation details, and deployment process that can help you automate your own compliance workflows.

We built a browser extension that automates this evidence collection process using Amazon Bedrock with the Amazon Nova 2 Lite model. Your extension will execute predefined compliance workflows, automatically capture timestamped screenshots, and store organized evidence in Amazon Simple Storage Service (Amazon S3). It can also analyze compliance documents and generate new workflows using natural language processing (NLP).

You will learn how we architected this solution, integrated Amazon Nova 2 Lite for intelligent automation, and implemented browser automation tools that handle the complexity of modern web applications. We cover the technical implementation details, deployment process, and real-world usage patterns.

We chose browser automation combined with AI for several key reasons: it works with any web application without requiring API access, it captures visual evidence that auditors need, and it can adapt to UI changes through intelligent automation. The solution uses a browser extension for Chrome and Firefox as the primary interface, providing three main capabilities: an evidence collector, an AI-powered workflow designer, and report delivery.