Flowtasks - AI-Powered Document Intelligence Engine

Government agencies and regulated organizations need to extract intelligence from large volumes of sensitive documents, but traditional AI tools pose serious risks: data leakage, hallucinated answers, no audit trails, and zero accountability over who accessed what.

They needed a platform that could deliver AI-powered document analysis without ever letting data leave their environment.

Flowtasks is a secure document intelligence engine built for zero-egress deployment. It uses Retrieval-Augmented Generation (RAG) to ground every AI response in the actual source documents, eliminating hallucinations and ensuring every answer is traceable.

The platform runs entirely within the client's infrastructure. No data leaves the network. No third-party APIs touch the documents.

Frontend: Built with Next.js and React for a responsive, fast interface. TypeScript across the entire codebase for type safety and maintainability.

Backend: Python-powered RAG pipeline handling document ingestion, chunking, embedding generation, and retrieval. PostgreSQL for relational data and user management. Qdrant as the vector database for semantic search across document embeddings.

Infrastructure: Dockerized for consistent deployment across environments. Designed for air-gapped and on-premise installations where cloud access isn't an option.

Role-Based Access Control (RBAC) so every user only sees what they're authorized to see

End-to-end encryption for data at rest and in transit

Complete audit trails logging every query, response, and document access

Zero-egress architecture: nothing leaves the deployment boundary

Grounded AI responses: Every answer cites its source document and page, so users can verify claims instantly

Semantic search: Users ask natural-language questions across thousands of documents and get precise, contextual answers

Document ingestion pipeline: Handles PDFs, Word docs, and other common formats with automatic chunking and embedding

Admin dashboard: Full visibility into user activity, query logs, and system health

Multi-tenant support: Isolated workspaces for different teams or departments within the same deployment

I designed and built the entire platform end-to-end: architecture, backend RAG pipeline, frontend interface, database schema, security model, Docker configuration, and deployment tooling. Solo build from concept to production.