Indonesia’s banking sector stands at a critical crossroads. As digital adoption accelerates, with 75 million Indonesians projected to use digital banking by 2026, the threat landscape has evolved dramatically. The Otoritas Jasa Keuangan (OJK) reported Rp7 trillion in losses (USD 422 million) between late 2024 and mid-2025, with more than 299,000 fraud cases reported in that period.
To meet this challenge, visionary Indonesian financial institutions are turning to artificial intelligence as their primary weapon against fraud, simultaneously strengthening consumer trust in digital banking.
The magnitude of fraud in Indonesian financial services
The scale of fraud in Indonesia demands urgent attention. According to the Indonesia Anti-Scam Center, financial criminals are evolving their tactics faster than ever. Voice cloning and deepfake impersonation have emerged as the primary AI-driven fraud vectors, with OJK receiving over 70,000 reports of AI-enabled scams as of mid-2025. Fraudsters harvest audio and video from social media to create convincing replicas, requesting urgent money transfers from victims.
According to OJK data, online shopping fraud accounts for the majority of cases (53,928 reported), followed by fake calls and impersonation scams (31,299 cases), and fraudulent investment offers (19,850 cases). The average loss per victim ranges from Rp18-52 million, a devastating sum for individuals and small businesses. As of January 2026, the IASC received 432,637 fraud reports with total losses reaching Rp9.1 trillion and Rp436.88 billion in blocked funds, underscoring the urgency of robust fraud prevention systems.
AI as a counterforce: detection and prevention
Indonesian banks and fintech companies recognise that traditional, rule-based fraud prevention systems cannot keep pace with rapidly evolving criminal tactics. Advanced AI-powered fraud detection systems are now fundamental to modern banking infrastructure.
Modern AI solutions can analyse transaction patterns in milliseconds, flagging suspicious behaviour with remarkable precision. Well-implemented systems reduce false positives by 60% while maintaining regulatory compliance. This is a critical efficiency gain because every false positive harms the customer experience, while every undetected fraud erodes trust.
Download Oradian’s AI fraud detection guide for more information on how to use AI against fraud at your institution.
Regulatory momentum and OJK’s AI governance framework
Indonesia’s regulatory environment has become increasingly supportive of responsible AI adoption in banking. On 29 April 2025, the OJK published the AI Governance Book for Indonesian Banking, providing sector-specific guidance for AI implementation across the banking lifecycle. This guidance reinforces three core principles:
- Reliability: Ensuring AI outcomes align with bank objectives.
- Accountability: Clear assignment of roles and auditability.
- Human oversight: Maintaining appropriate human judgement in critical decisions.
Furthermore, OJK Regulation 12 of 2024 mandates a comprehensive four-pillar anti-fraud strategy: prevention, detection, investigation and reporting, and ongoing monitoring. This regulatory clarity has legitimised AI adoption and provided banks with a clear roadmap for implementation.
Building user trust through transparent AI implementation
For Indonesian banks and fintechs, preventing fraud is only half the battle. It is equally important to demonstrate to customers that their data and funds are protected. Transparency about how digital banking platforms use AI to safeguard accounts builds long-term confidence.
Banks that communicate clearly about their fraud prevention measures, including AI-powered monitoring and real-time alerts, report higher customer retention and lower churn rates. This is vital for the market, as P2P lending reached IDR 77 trillion (USD 4.7 billion) in outstanding loans by 2024, a trajectory that depends critically on fraud prevention to sustain consumer confidence. The cost of rebuilding trust is substantial, requiring both technology investment and sustained communication with customers.
The path forward: converging drivers for AI investment
Indonesian banks and fintech companies have begun integrating comprehensive core banking solutions with embedded AI capabilities to address fraud comprehensively. From transaction monitoring to identity verification, AI is becoming the backbone of secure digital banking.
The convergence of three critical factors has created a compelling business case for AI investment. Firstly, the OJK’s guidance has legitimised and encouraged responsible AI adoption across the sector. Secondly, the IASC provides real-time intelligence on emerging fraud threats, enabling rapid model retraining and deployment. Thirdly, Indonesian digital-first consumers increasingly expect institutions to openly discuss their security posture and demonstrate commitment to fraud prevention.
Conclusion
Indonesia’s journey toward a secure, trustworthy digital financial ecosystem requires sustained investment in advanced technology. AI-powered fraud detection is no longer a competitive advantage; it has become a necessity. As the OJK’s framework matures and criminals continue to innovate, Indonesian banks that embrace responsible AI governance will emerge as leaders in consumer trust and financial stability.
For Indonesia’s innovative financial institutions, particularly neobanks, digital banking platforms, and P2P lenders, the opportunity is clear: those that successfully implement AI-powered fraud prevention will differentiate themselves through superior security and lower fraud losses, ultimately capturing greater market share and customer loyalty.
The Digital-First Bank’s Guide to AI
The Oradian Digital-First Bank’s Guide to AI in 2026 includes a full AI and fraud readiness checklist covering data foundation, core integration readiness, governance, and operating model. It is written specifically for product, tech, risk, and compliance teams in dynamic markets.
The regulation playbook
Oradian’s Regulation Playbook for Digital-First Banks provides a step-by-step blueprint for architecting your systems, governance, and operations to meet every regulatory requirement whilst scaling profitably.
About Oradian
Oradian’s core banking system is designed for innovative financial institutions in dynamic markets. The system makes it possible to integrate advanced AI capabilities for fraud detection, credit decisioning, and compliance monitoring, enabling banks and fintechs to scale securely. As the first international member of AFTECH, Oradian serves financial institutions across dynamic markets globally, with dedicated teams based in Indonesia supporting the region’s fintech ecosystem. Find out more about Oradian in Indonesia.
