Hong Leong Bank
Discover 3 AI Use Cases & Implementations from Hong Leong Bank
Hyperscaler mix
See whether Hong Leong Bank's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Hong Leong Bank builds AI
Build / Buy / Compose across this company's documented cases
3 of 3 cases classified (100%) · Compare all use-case types
Reported outcomes
3 cases report measurable results
+99%
Quality & accuracy
median · 5 metrics
+30%
Productivity & throughput
median · 2 metrics
+200%
Customer experience
median · 2 metrics
Medians of results published in Hong Leong Bank cases, normalized for comparability. See all benchmarks →
Evidence persistence
1 of 1 judgeable case is still publicly referenced · 1 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What Hong Leong Bank uses across visible cases
Capability flags and technologies mentioned in the indexed use cases on this page.
- Top use case
- Agent
- Tagged cases
- 3/3
- Tech names
- 11
All Use Cases (3)
Hong Leong Bank accelerates trade finance document processing with Document AI and deploys Gemini agents on Vertex AI
Hong Leong Bank (HLB) built its AI ecosystem on Google Cloud to improve digital banking and employee experiences.The bank uses Document AI for trade operations to automatically extract and digitize relevant fields from high-volume trade documents in more than 200 languages.HLB also runs Gemini 2.5 Flash as a private instance on Vertex AI and uses Agent Development Kit-based agents for customer and internal workflows.
Hong Leong Bank deploys Gemini agents and Document AI for trade operations
Hong Leong Bank (HLB) in Malaysia uses Google Cloud and Gemini 2.5 Flash to improve digital banking and employee experiences.The bank built an AI ecosystem on Vertex AI, including customer and internal chatbots, Document AI for trade operations, and Gemini Code Assist for development.For customer interactions, the Marina chatbot supports multilingual responses, dynamic FAQs, and secure post-login transactions through Agent Development Kit-integrated backend API calls.For internal employees, the Penny chatbot serves HR use cases such as policy guidance and leave application support.For trade finance, Document AI extracts data from invoices and shipping forms across more than 200 languages to digitize processing and reduce manual work.
Hong Leong Bank Advances Digital Banking with Google Cloud and Gemini AI
Hong Leong Bank (HLB), a 120-year-old Malaysian financial institution, aimed to modernize banking operations and improve customer and employee experiences through AI while ensuring data security and governance.HLB built an AI ecosystem on Google Cloud leveraging Gemini 2.5 Flash as a private instance on Vertex AI, deploying chatbots for customer support and employee HR queries, Document AI for trade finance document processing, and Gemini Code Assist for software development acceleration.They integrated AI with legacy systems using APIs and Cloud Run to handle large AI workloads, improving chatbot accuracy from 75% to 99% and increasing digital engagement.Gemini-powered chatbots enabled real-time data access and transactional capabilities, reducing agent workload and enabling faster resolution.Document AI improved trade operations efficiency by 30%, and Gemini Code Assist reduced development time by 10-25%.The AI ecosystem optimized business processes, enhanced user experiences, and maintained regulatory compliance with robust cloud security.