Hong Leong Bank
3 documented AI deployments at Hong Leong Bank, across 1 industry. Each one links to the public source it was taken from.
Kuala Lumpur, Malaysia · Founded 1905 · hlb.com.my · WikipediaSource: Wikidata, 2026-11-01
Public AI record
Hong Leong Bank has 3 documented public AI cases on the hub, too few for a score. AI development platform and risk assessment are common among peers but not yet documented at Hong Leong Bank.
A record score appears once Hong Leong Bank has 5 documented public cases. The peer comparison below already uses what is on record.
First documented case Jan 2024, latest Jun 2026. Cloud providers named: GCP.
Compared with peers
Against 9 other banking companies on the hub.
What peers document
- Customer service automation5 of 9 peers · here too56%
- AI development platform4 of 9 peers44%
- Risk assessment4 of 9 peers44%
- Fraud detection3 of 9 peers33%
Gaps against the industry
- AI development platform: 44% of peers, not documented at Hong Leong Bank yet
- Risk assessment: 44% of peers, not documented at Hong Leong Bank yet
- Fraud detection: 33% of peers, not documented at Hong Leong Bank yet
Signature use cases
No peer on the hub documents business process automation.
Stack and approach vs peers
- Peer cases name Microsoft 70%, AWS 18%, GCP 9%.
- AI agents: 100% of Hong Leong Bank's cases vs 18% for peers.
- Cases from the last 12 months: 33% vs 23% for peers.
Deployments
3 deployments at Hong Leong Bank, newest first.
- 7 Jun 2026FinanceMalaysia
Hong Leong Bank accelerates trade finance document processing with Document AI and deploys Gemini agents on Vertex AI
Hong Leong Bank · Customer support automation · GCP
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.
Multi-agentProduction
3×monthly chat transactions - 1 Jan 2024FinanceMalaysia
Hong Leong Bank deploys Gemini agents and Document AI for trade operations
Hong Leong Bank · Business process automation · GCP
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.
Multi-agentProduction
3×quantified impact - FinanceMalaysia
Hong Leong Bank Advances Digital Banking with Google Cloud and Gemini AI
Hong Leong Bank · Document automation · GCP
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.
Multi-agentProduction
+99%accuracy
What it builds
Business process automation is the most common pattern in these deployments: 1.
Cloud providers named
GCP is named in 3 of these deployments.
- GCP100% of these3