Ryt Bank Deploys Conversational AI Banking System

Ryt Bank in Malaysia deployed a regulator-approved conversational AI called ILMU last summer to execute transfers, bill payments and balance checks via natural language. The internally built system serves over 50,000 users and processes about 80,000 transactions monthly, requires customer confirmation before execution, reports hallucination rates under 1.5%, and highlights regulatory and security scaling challenges.
Key Points
- 1Deploys ILMU to execute core transactions via chat, serving 50,000+ users
- 2Maintains regulatory transparency and low hallucination rates, reducing workflow risk
- 3Signals operational and security challenges for larger banks considering chat-initiated payments
Scoring Rationale
Demonstrates practical LLM-led banking with strong controls, limited by single-bank deployment and scalability/regulatory replication challenges.
Sources
Public references used for this report.
Practice with real Banking data
90 SQL & Python problems · 15 industry datasets
250 free problems · No credit card
See all Banking problems

