Developing an AI-software for automated finance reporting and data analytics at Parabella

IDP with Parabella Analytics

📌 Key facts

Project: Development of an AI-software that extracts finance documents and uses the financial numbers to derive analytical insights and create a finance report automatically with a “one click to report” feature. These automated finance reports will be multi-validated in an AI-pipeline to become auditaligned with the institutional frameworks.

Find all information in the PDF attached:

idp_AI Finance Analytics.pdf1942.4KB

• 📌 Key facts
• 💡 Background
• 🎯 Goals
• 📝 How to Apply
• 📬 Contact

💡 Background

Transparent communication of annual financial numbers is essential for every company, investor, regulator and stakeholders. The data input for a traditional finance report is based on manually data collection and often not automated, especially the textual interpretation of the numbers including forecasts, risk assessments and so on. Parabella Analytics aims to automate this whole reporting process by applying state-of-the-art AI techniques by extracting necessary data automatically, represent analytical insights and converts all financial data into coherent, narrative text of a finance report.

🎯 Goals

• Algorithm Development: Identification of a data-to-text algorithm like BART or T5 to build a foundation framework that is specified on financial reporting. Using training data to test efficiency and outcome-quality.
• LLM Integration & Fine-Tuning: Evaluation of an AI-Architecture between BART algorithm and GenAI models. Evaluate and text large-language models to translate numeric inputs into coherent text at paragraph and section levels.
• Data Analytics & Schema Design: Define, how extracted, numeric data can be used to build analytics frameworks and graphics. Identify a dynamic report schema for multiple topics e.g. Management Discussion & Analysis, KPI commentary, risk management, heatmap and so on. Creativity is important.
• End-to-End Automation: Design and implement a “one-click to report” workflow that ingests raw financial statements and analytics-outputs in form of a structured narrative report, without human intervention. You can use the current AI-pipeline of the ESG-reporting module from Parabella Analytics.
• Data Validation & Consistency Checks: Incorporate rule-based and AIdriven multi-validations with different GenAIs to ensure factual accuracy, flag anomalies and maintain regulatory compliance for „audit-aligned reports“

📝 How to Apply

If you are interested, please contact Prof. Dr. Isabell Welpe by submitting your CV and grade report. Please also briefly outline why you are interested and how you would approach the topic (data and methods, possible outcomes with a tentative outline all in word as *.docx)

We're greatly looking forward to hearing more about you!

Apply now!

📬 Contact

Isabell Welpe (Chair for Strategy and Organisation)

👉 welpe@tum.de