Mass Default in Fintech: Why Platforms Collapse Due to Imprudent Internal Processes


In recent years, Indonesia's fintech lending industry has faced various pressures, ranging from a surge in defaults to the collapse of several service providers. Initially hailed as a new breakthrough in the nation's economic landscape, it ended up becoming grim headlines for both investors and borrowers.
Many tend to attribute this failure to borrower behavior or macroeconomic conditions. However, looking at the patterns emerging from investigative reports, OJK (Financial Services Authority) regulations, and global academic studies, the root cause is often found within the platforms themselves — specifically in imprudent internal processes.
1. What Constitutes an Imprudent Process?
According to POJK 10/2022 and POJK 40/2024, the principle of prudence (prudential process) includes obligations such as:
- Adequate data verification prior to funding
- Accurate repayment capacity analysis
- Data-driven risk management
- Continuous monitoring of portfolio quality
- Complete and accountable documentation
Several articles in POJK explicitly state that providers are responsible for negligence in implementing risk management and poor funding quality.
In other words, an imprudent process is a condition where a platform:
- Disburses funds too quickly without adequate verification
- Over-relies on self-reported information
- Neglects to monitor borrower performance
- Fails to detect red flags in cash flows
- Or fails to establish strong internal controls
2. Documented Patterns of Failure in Indonesia

Several investigative reports indicate that the collapse of numerous providers stemmed from internal control gaps, not solely from problematic borrowers.
a. Weak Document Verification → Funding for Unviable Projects
An investigation by major journalism outlets like Tempo revealed a pattern where funding was provided to entities or projects that ultimately lacked a strong operational foundation. Insufficient in-depth examination of documents and background of fund recipients contributed to increased default risk.
b. Ineffective Internal Oversight
In several cases, governance structures proved unable to prevent internal authority abuse or fund misuse deviations. When oversight functions are ineffective, operational and fraud risks increase drastically.
c. Fund Disbursement Without Consistent Feasibility Analysis
A market report showed that banks were asked to stop channeling credit to certain platforms due to a significant increase in defaults, which was later seen as an indication that the funding selection process and risk mitigation were no longer operating according to prudent standards.
d. Neglect of Deteriorating Credit Quality
Another investigation revealed negligence towards worsening portfolio performance without adequate corrective action. Infrequent monitoring caused platforms to only realize the scale of failure when it had already reached a state of mass default.
These patterns demonstrate that when internal governance weakens, systemic failure is only a matter of time.
3. Lessons from the Collapse of Thousands of Platforms in China
Academic research on the collapse of the P2P industry in China — where thousands of platforms ceased operations within a few years — reinforces the same pattern: collapse was triggered by a combination of aggressive growth and imprudent processes.
In a research journal by Qing He & Xiaoyang Li, published via Science Direct, they identified several key patterns:
- Platforms ignored verification standardization,
- Relied on self-reported data without independent validation,
- Weak governance enabled opportunistic behavior,
- Risk increased when platforms focused on rapid expansion over credit quality,
- Much funding went to unviable or poorly verified projects.
Meanwhile, the research "Too Much Technology and Too Little Regulation?" published via ResearchGate shows that advanced technology could not cover up fundamental weaknesses in opportunistic risk management and verification. When human processes and governance collapse, algorithms alone cannot prevent systemic failure.
Both studies provide a global picture: mass default is not a local phenomenon, but a universal pattern of platforms failing to implement prudent processes.
4. Why Do Imprudent Processes Harm the Ecosystem?
When a platform fails to maintain its internal processes, the effects are not limited to a single entity:
a. Contagion Risk
The failure of one platform erodes market confidence, impacting liquidity and lender psychology on other platforms.
b. Rapid Portfolio Quality Deterioration
Since funding is conducted without consistent analysis, default risk increases exponentially.
c. Increased Regulatory Burden
OJK is forced to tighten standards, making it harder for other, actually healthy platforms.
d. Industry Reputation Decline
One scandal tarnishes the image of the entire fintech lending sector. In other words, an imprudent process doesn't just bring down one company; it can bring down an industry's reputation.
5. How Technology Helps Improve Prudential Processes
POJK 40/2024 emphasizes that providers must have electronic systems capable of accurately processing, storing, and analyzing documents as part of risk management. This is where process modernization becomes crucial.
Platforms can no longer rely on:
- Manual checks
- Static documents
- Self-reported data without validation
- Reactive monitoring
Companies need systems capable of:
- Quickly verifying document data,
- Detecting cash flow inconsistencies,
- Identifying red flags earlier,
- Providing continuous monitoring.
6. Accelerating Verification, Not Replacing Audit

Simplifa.ai will never replace an auditor. However, with the ability to:
- Read bank statements,
- Extract financial data accurately,
- Detect unusual transaction patterns,
- Perform document parsing in seconds,
- Provide data ready for objective analysis,
Simplifa.ai helps platforms execute the most critical stage of the prudence principle: data verification and validation.
This capability helps providers reduce human error in checks, ensure borrower information consistency, speed up underwriting processes, and build a stronger governance foundation.
In other words, Simplifa.ai strengthens the first line of risk defense — data hygiene and verification — so platforms can focus on strategic risk assessment, not manual work prone to human error.
Mass default phenomena do not happen suddenly. The consistent patterns seen in Indonesia and globally show that the main root cause often lies in imprudent internal processes: weak verification, dysfunctional governance, inconsistent monitoring, and unenforced risk management.
Regulators have provided a clear framework. Global studies have warned of the pattern. Local investigations have shown the consequences.
Now, it's time for the industry to ensure that every funding process starts from correct data. Because ultimately, in a trust-based industry, process accuracy is the foundation of sustainability, which cannot be achieved without a solid data foundation.
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