AI Compliance Pipeline

AI Compliance Pipeline is an intelligent automation system designed to analyze and validate tender documents at scale. It uses AI models and data extraction workflows to identify key compliance requirements, extract structured data, and detect potential risks - transforming what was once manual, repetitive review work into a fast and accurate automated process.

Compliance Pipeline Screenshot

What Does It Do?

The Compliance Pipeline automates the process of reading, analyzing, and structuring public procurement documents. It helps organizations save hundreds of hours normally spent manually reviewing tender specifications, by:

  • Extracting relevant information (buyer names, contract values, deadlines, legal references).
  • Identifying compliance requirements and technical conditions.
  • Classifying documents by sector, country, and type of contract.
  • Summarizing and validating content using AI models to flag potential risks or missing details.

It’s particularly useful for consultancies, compliance teams, and legal departments that work with public tenders or regulatory documentation.

My Work

I designed and implemented the full end-to-end system, focusing on scalability, reliability, and AI accuracy:

  • Developed automated crawlers and parsers for collecting and cleaning PDF and XML documents from multiple procurement sources.
  • Implemented AI extraction models (OpenAI, Claude, Mistral) to identify legal, financial, and technical fields with structured outputs.
  • Created validation layers to verify extracted data against schema rules and detect anomalies or incomplete sections.
  • Built an asynchronous pipeline using FastAPI, Celery, and Supabase queues for distributed task processing.
  • Designed modular Pydantic models for consistent AI outputs, ensuring compatibility with dashboards and APIs.
  • Integrated Supabase storage for storing raw files, parsed data, and AI results, maintaining full traceability per document.

🚀 Key Features

  • Automated Document Processing: Reads and extracts data from PDF, XML, and HTML tenders automatically.
  • AI-Powered Compliance Checks: Detects missing sections, inconsistencies, and compliance gaps.
  • Structured Data Output: Converts unstructured tender text into clean, validated JSON entries.
  • Scalable Queuing System: Handles thousands of documents per day using distributed workers.
  • Traceable Audit Logs: Maintains full transparency of every AI decision and data transformation.

🛠️ Tools and Technologies

  • Python (FastAPI, Celery, Pydantic) - Core pipeline and orchestration logic.
  • Supabase (PostgreSQL + Storage) - Central database for documents and AI outputs.
  • OpenAI, Claude, Mistral - Large language models for semantic extraction and validation.
  • Docker + AWS ECS - Deployment and scaling of scraping and AI workloads.
  • LangChain / Pydantic-AI - Frameworks for AI orchestration and structured response handling.

The AI Compliance Pipeline demonstrates how modern AI systems can bring automation, accuracy, and transparency to complex document workflows. It’s a step toward AI-assisted regulatory intelligence, helping teams process more data, faster - without sacrificing reliability.

If your organization deals with high volumes of legal or procurement documents, I’d be happy to show how this system could save you time and resources.