Developed an end-to-end document processing and analysis workflow in the DS4SD/docling repository, focusing on multi-agent orchestration within a Jupyter notebook environment. The solution integrated Docling with AG2, enabling a Document Processor agent to convert PDFs to Markdown and extract tables, while an Analyst agent synthesized findings into structured summaries. This approach established a repeatable, automated workflow for document analysis and decision support, emphasizing AI orchestration and robust data analysis. The work included enhancements to code quality and documentation, such as DCO remediation and linting improvements, and was implemented primarily in Python, leveraging document processing and collaborative agent technologies.