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AI and Machine Learning help detect fraud more quickly and accurately, prevent fraud, and improve the security of digital financial systems.

Bank statements play a vital role in corporate financial audits as a validation tool, anomaly detection, and the basis for AI-based financial transparency.

Simplifa.ai was privileged to take part in the Economy Mastery Forum 2025, organized by Infobank Media Group and PERBARINDO (Perhimpunan Bank Perkreditan Rakyat Indonesia)

Simplifa.ai is honored to be one of the official sponsors of the International Seminar of the Indonesian Financial Services Association (APPI) held at The Anvaya Ballroom Beach Resort, Bali

Every banking transaction contains crucial traces that reflect an entity's financial activities. For auditors, these traces become essential material for verifying the accuracy of financial reports. However, when transaction data continues to grow in high volumes, manual methods of examining bank statements are no longer relevant. This is where bank statement parsing emerges as a modern solution that addresses digital audit challenges.

Thoroughness in preparing financial reports is a fundamental foundation for business sustainability. These documents do not only function as reporting tools, but also as a means to assess performance and determine the direction of strategic decision-making.

The phenomenon of fraud in financial transactions continues to evolve alongside the increasing complexity of digital systems. As fraudulent patterns become more sophisticated, the challenges of maintaining transaction security grow significantly.

The advancement of financial technology has introduced new approaches to data management, particularly in the banking and financial institution sectors. One significant breakthrough is the utilization of artificial intelligence (AI) in the process of parsing credit bureau reports. This step not only shortens processing time but also enhances accuracy in assessing the risk profiles of potential customers.

Document types frequently processed using parsing include financial reports and health records. AI-based document parsing technology supports work efficiency.

The success of a modern business is not only determined by marketing and product innovation, but also by the ability to comprehensively understand its financial condition. Financial statements do present data, but without proper analysis, this information is difficult to process into a foundation for decision-making.

Simplifa.AI and Mitsui Leasing Capital Indonesia (MLCI) have formalized a strategic partnership to implement artificial intelligence technology in enhancing credit evaluation systems, addressing the financial industry's growing need for transformation

Digitalization has brought significant changes to the way companies and financial institutions process information. Previously, reviewing bank statements could take hours or even days, but now technology enables analysis to be completed in minutes with higher accuracy.

Simplifa.AI proudly announces a strategic partnership with Bank Artha Graha Internasional (BAGI) to promote digital transformation throughout the bank's nationwide operations.

Optimize financial transaction security with machine learning-based bank statement parsing. Learn how to detect anomalies automatically and efficiently.

An effective anomaly detection solution using machine learning to accurately identify fraud and data deviations. Learn its benefits and applications across various sectors.