AuditFlow
AI-powered Intelligent Auditing Platform
Overview
AuditFlow is an end-to-end intelligent auditing platform that processes, analyzes, and extracts insights from large volumes of documents. It combines OCR, intelligent chunking, vector search, and LLM-powered agents to automate the entire audit workflow.
Development Timeline
Document Parser
Embedding Pipeline
Knowledge Agent
Workflow Engine
Frontend Dashboard
Production Release
Features
Support PDF, Word, Excel, and scanned documents with OCR processing.
Semantic-aware document splitting with configurable strategies.
Hybrid search combining dense and sparse retrieval for accurate information lookup.
LangGraph-powered agent orchestration for complex audit procedures.
Interactive frontend for monitoring audit progress and results.
Entity extraction and relationship mapping across documents.
Engineering Challenges
Solution
Implemented a hybrid parser combining PyMuPDF for text extraction and LayoutLM for layout understanding.
Lesson Learned
Hybrid approaches significantly outperform single-parser solutions on diverse document types.
Solution
Designed a streaming pipeline with Redis-based caching and parallel chunk processing.
Lesson Learned
Streaming architecture with proper backpressure handling is critical for production document pipelines.