Transforming 1099 Financial Workflows with Dataiku Automation
Transforming 1099 Financial Workflows with Dataiku Automation The Challenge The current 1099 contractor payment process is slow and inefficient, taking 4–5 days per report due to heavy manual work. Multiple contributors increase risks of errors, duplicates, and missed payments, undermining trust and creating rework. As contractor volume grows, the process cannot scale, leading to bottlenecks […]
Scaling Enterprise Reporting with Tatras Data and Dataiku
Scaling Enterprise Reporting with Tatras Data and Dataiku The Challenge A global risk and benefits management firm relied heavily on manual reporting processes to track performance across departments. Reports ranged from daily operational updates to complex quarterly analyses. This manual system created several challenges: Time-consuming and error-prone reporting workflows. High opportunity cost for skilled employees […]
Self Healing Knowledge Base with AI-Driven Metadata and Taxonomy at Scale
Self-Healing Knowledge Base with AI-Driven Metadata and Taxonomy at Scale The Challenge Document bases with potentially million documents are very challenging to manage, classic knowledge base scalability challenges. This is required for proper organization, searchability, removing duplication and many more. Most of the documents do not have any tags / categories to identify their content […]
Vision-Language OCR for PDFs and Spreadsheets Elevates Multimodal Q&A from 45% to 75%
Vision-Language OCR for PDFs and Spreadsheets Elevates Multimodal Q&A from 45% to 75% The Challenge The system faced significant limitations in handling multimodal documents: PDFs: No text extraction was available for non-editable and scanned PDFs, making Q&A impossible and highlighting a gap in AI for PDFs within broader multimodal document processing. Visuals: Images, figures, and […]
HTML to Markdown and Table Chunking Achieve 20% RAG Accuracy Gain
HTML to Markdown and Table Chunking Achieve 20% RAG Accuracy Gain The Challenge The initial HTML ingestion pipeline was extracting only raw text, losing critical structural elements like links, formatting, and hierarchy. Additionally, answers derived from long tables were often incomplete or inaccurate because of loss of structured data due to ingestion. This highlighted a […]
LLM-Grounded Citations for Trustworthy RAG Answers
LLM-Grounded Citations for Trustworthy RAG Answers The Challenge Citations, a key factor for explainable AI question answering, returned alongside answers in the RAG pipeline were often incorrect or misleading, hurting citation accuracy in RAG systems. The LLM didn’t consistently utilize all retrieved documents, making it hard to trace answers back to sources. Additionally, hallucinations and […]
Transcription to Job Requirement Matching using LLMs and NLP
Transcription to Job Requirement Matching using LLMs and NLP The Challenge An important part of the recruitment process is the interview. An inherently manual process, Tatras aimed to automate the reporting on interviews by analyzing candidate interview transcripts to improve consistency and accuracy in reporting of candidate fit. It allows for the identification of any […]
AI for Independent Authoring using LLMs with augmented knowledge bases
AI for Independent Authoring using LLMs with augmented knowledge bases The Challenge A leading platform for supporting independent authors attaining better outcomes for the books they publish, recognized the need for technology to scale their business. In particular, transforming authors into authorpreneurs was identified as one of the key deficiencies in an independent author’s journey […]
A Natural Language Interface for making Investment Decisions with Business Intelligence Chart and SQL Generation using LLMs
A Natural Language Interface for making Investment Decisions with Business Intelligence Chart and SQL Generation using LLMs The Challenge A investment bank aims to develop a Question Answering system capable of responding to natural language queries about stocks. Tatras utilized an open-source LLMs designed to transform natural language questions into valid SQL queries. This system […]
Invoice to Contract Reconciliation optimization using Vision, NLP and RAG
Invoice to Contract Reconciliation optimization using Vision, NLP and RAG The Challenge An organization requested a solution to process physical copies of invoice documents containing diverse content and structures. The objective is to extract text from these invoices and identify various elements, such as names or tags for entities, amounts, and other details related to […]