Project Overview

The Enterprise Document Compliance Assistant is an AI-powered application designed to automate the review and validation of legal, financial, and regulatory documents. By using advanced OCR (Optical Character Recognition) and language models, the system scans, summarizes, and flags potential compliance risks, significantly reducing manual effort and improving accuracy for legal firms, government agencies, and healthcare compliance teams.

My Role: UX Designer, Compliance Analyst, AI Product Manager (as a solo project)

1. The Problem: The Manual Compliance Grind

Navigating complex regulatory landscapes is a major challenge for organizations. The manual process of reviewing legal documents, financial reports, and contracts is not only time-consuming but also highly susceptible to human error. This can lead to significant financial penalties, legal liabilities, and reputational damage. The core problem was to create a solution that could accurately and efficiently review large volumes of documents, highlighting potential risks that would otherwise go unnoticed.

2. The Solution: An Intelligent Compliance Dashboard

The solution was to build an intelligent assistant that acts as a first line of defense in the compliance review process. The application features a streamlined workflow:

• Document Upload & OCR: Users can upload documents, which are then processed by an OCR engine to extract the text.

• AI Summary: The system uses a large language model to provide a concise, natural-language summary of the document's content, including an assessment of its information completeness.

• Compliance Analysis: The AI performs a targeted analysis to identify potential risks and compliance deficiencies. For example, it might flag a document lacking a privacy policy, cross-border data transfer clauses, or clear data usage consent.

This system transforms a tedious manual task into an automated, risk-aware process, allowing compliance professionals to focus on higher-level strategic work.

3. My Design Process: Building Trust in AI

My design process was centered on a critical challenge: building a user's trust in an AI-driven system, particularly in a high-stakes domain like compliance.

• User Research: I interviewed compliance officers and legal professionals to understand their needs. I found that while they were excited about the potential of AI, they were also skeptical. They needed a system that wasn't a "black box" but one that explained its reasoning and provided a clear audit trail.

• Information Architecture: I structured the interface to be logical and transparent. The document's raw text (extracted via OCR) is shown alongside the AI's summary and analysis. This side-by-side view allows users to easily cross-reference the AI's findings against the original text, building confidence in the system's accuracy.

• Prototyping & Visual Design: I prototyped a clean, minimalist UI with a professional aesthetic. The use of clear headings and distinct panels for each function (Extracted Text, AI Summary, AI Compliance Analysis) ensures that information is not overwhelming. The color-coded alerts for "Potential Risks" are visually prominent, drawing the user's attention to the most critical areas.

4. The Final Product: A Partnership Between Human and AI

The final application is a sophisticated yet easy-to-use tool that creates a partnership between the human expert and the AI. It's not about replacing the compliance officer but about augmenting their capabilities, allowing them to review documents with a new level of speed and precision. The final product is a testament to the power of AI to transform complex, industry-specific workflows, turning a tedious task into an efficient and intelligent process.

Key Learnings & Outcomes:

• Transparency Builds Trust: By showing the raw extracted text alongside the AI's analysis, the system demystifies the AI's "thinking" and builds user trust.

• Targeted AI for Specific Problems: The AI is not a general-purpose tool; it is specifically trained to look for compliance risks. This focus on a niche problem makes the output highly relevant and valuable.

• UX for High-Stakes Environments: In fields where mistakes are costly, the UX must prioritize clarity, accuracy, and confidence. Every design decision, from the layout to the color palette, was made with this in mind.

This project showcases how a user-centered design approach can be applied to create a powerful AI tool that is both a technical marvel and a practical, trustworthy solution for professionals.