YOGYAKARTA Artificial intelligence aka AI offers many conveniences in various aspects of human life. In the business sector, AI can even be used for financial analysis and automatic audits. Let's find out how to solve AI for financial analysis and automatic audits in the following article.

AI solutions for financial analysis and automatic audits include using machine learning and data analytics to improve efficiency, accuracy, and the ability to detect risks.

This technology is capable of automating various tasks such as data extraction, document analysis, as well as anomaly identification and potential fraud in large data sets.

In addition, the AI system also provides in-depth insight so as to assist companies in making faster and more precise decisions.

Some examples of the application of this technology can be found on platforms like MindBridge, which presents a smart audit system for detecting unnatural patterns in financial reports, as well as Safebooks, which offers AI-based automation and sustainable financial monitoring to maintain the transparency and reliability of company data.

Quoting the Snipper data page that can be used for financial analysis and automatic audit:

Workiva is a cloud-based platform used for regulatory reporting, SOX, ESG, audits, and financial reports. Now, this platform is equipped with genative artificial intelligence (Generative AI) to help compile narratives automatically and automate internal control.

Examples of use in the financial sector:

Features of seed:

MindBridge is an anomaly detection platform and risk assessment that analyzes 100 percent of financial transactions. The platform helps detect potential fraud, error, and inefficiency through AI technology.

Examples of use in the financial sector:

Features of seed:

Datarails is an Excel-based FP&A (Financial Planning & Analysis) platform that automates data consolidation, forecasting, budgeting, and reporting in real-time. This platform is also equipped with an AI-based question and answer feature (AI-powered Q&A chat).

Examples of use in the financial sector:

Features of seed:

Cube is a collaborative FP&A tool that connects spreadsheets with ERP systems. The platform supports continuous planning, scenario modeling, and natural language-based queries.

Examples of use in the financial sector:

Features of seed:

That's information about AI solutions for financial analysis and automatic audits. Get other interesting news updates only on VOI.ID.


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