SANF’s Digital Transformation with Fineksi: Strengthening Productive Financing Through AI-Powered Bank Statement Analysis

In Indonesia's financing industry, the speed and accuracy of credit decisions can make the difference between winning and losing a customer, and between a healthy portfolio and one weighed down by non-performing loans. Yet many lenders still rely on manual review of borrower documents, especially bank statements, which slows down approvals and leaves room for error and fraud.

PT Surya Artha Nusantara Finance (SANF), part of Astra Financial, is tackling this challenge through digital transformation. By partnering with Fineksi to implement AI-powered bank statement analysis, SANF has made its credit analysis process faster, more consistent, and better equipped to detect fraud early.

This article explores who SANF is, why it chose to adopt AI for bank statement analysis, how Fineksi's solution strengthens its credit process, and how the initiative earned recognition as an innovation benchmark within the Astra Group.

About SANF

PT Surya Artha Nusantara Finance (SANF) is a financing company under Astra Financial that focuses on productive-sector financing. Its business lines include:

• Investment financing
• Working capital financing
• Leasing
• Sale and leaseback
• Factoring SANF's portfolio is concentrated on heavy equipment and truck financing, serving strategic sectors such as mining, agribusiness, forestry, construction, infrastructure, transportation, and logistics.

Beyond business growth, SANF places strong emphasis on building an adaptive and agile organization that stays aligned with industry dynamics and the company's long-term strategy. It does this by strengthening organizational capabilities, developing employee competencies, and optimizing digital systems across its business processes.

Why Did SANF Adopt AI for Bank Statement Analysis?

In productive financing, a borrower's bank statement is one of the most important documents for assessing repayment capacity. It shows how money actually flows in and out of a business. Reviewing these statements manually, however, is time-consuming, prone to human error, and can produce inconsistent results between analysts.

As part of its digital transformation commitment and its goal of improving service quality for customers and business partners, SANF partnered with Fineksi to implement AI-powered bank statement analysis. The collaboration supports the company's digitalization strategy while improving the efficiency and accuracy of its credit analysis process.

What Is AI-Powered Bank Statement Analysis?

AI-powered bank statement analysis is the use of artificial intelligence to automatically read, extract, and interpret transaction data from a borrower's bank statements. Instead of an analyst manually scanning pages of transactions, the AI identifies:

• Transaction patterns – recurring income, regular expenses, and unusual activity
• Cash flow – inflows, outflows, and balance trends over time
• Risk indicators – signals that may affect a borrower's ability to repay
• Fraud indicators – anomalies that may point to manipulated documents or suspicious behavior The result is an objective, data-driven view of a borrower's financial health that credit teams can use to make decisions with confidence.

How Does Fineksi Improve SANF's Credit Process?

By using Fineksi's solution, SANF can analyze bank statements faster, more consistently, and more accurately than with manual methods.

Aspect	Manual Review	AI-Powered Analysis with Fineksi
Speed	Slow, page-by-page review	Rapid, automated processing
Consistency	Varies by analyst	Standardized, rule-based output
Objectivity	Prone to subjective judgment	Data-driven insights
Fraud detection	Depends on analyst experience	Automated fraud indicators
Decision-making	Longer turnaround	Faster credit decisions

Faster Credit Decisions

Automating the extraction and analysis of transaction data shortens the time needed to evaluate an application, so SANF can respond to customers more quickly without compromising quality.

Early Fraud Detection

A key added value of the solution is its fraud indicators. These help stakeholders spot potential anomalies and fraud risks early in the process, before a financing decision is made, which supports better portfolio quality and helps reduce non-performing loans.

Recognition Within the Astra Group

The implementation of Fineksi's solution has also been recognized within the Astra ecosystem. According to Anton, IT & Digitalization Department Head at SANF, the solution was entered in an innovation competition and used as a benchmark at the Astra Innovation event.

This shows that the initiative not only improves SANF's internal processes but has also become a reference for innovation at the group level.

About Fineksi

Fineksi is an AI-powered Document Intelligence for Credit Analysis company. Fineksi helps financial institutions streamline their credit process and detect fraud by ingesting all of a borrower's documents and providing AI-based credit analysis. This enables lenders to process loans faster without sacrificing quality, while reducing non-performing loans.

Conclusion

By combining a focus on productive-sector financing, an adaptive organization, and AI-driven digital technology, SANF reinforces its position as a progressive, future-oriented financing company. Its partnership with Fineksi demonstrates how AI-powered bank statement analysis can help lenders make faster, more accurate, and more secure credit decisions.