Google Cloud Financial Services Taiwan

E.SUN Bank

Customer Service Automation

As banking services contain diverse procedures and regulations, E.SUN Bank's less-experienced branch office staff often needed to contact the bank's headquarters when unsure about how to handle customers' requests, prolonging customers' waiting time.

Committed to becoming the leader in financial innovation, E.SUN Bank is constantly expanding its technology capabilities. In 2023, the bank built a hybrid cloud infrastructure partially powered by Google Cloud to access cutting-edge cloud…
Established in 1992, is one of the major commercial banks in Taiwan. Committed to becoming the leader in financial innovation, E.SUN Bank continues to tap into new technologies to provide cutting-edge solutions.
Following the technical advice of Google Cloud Professional Services Organization (PSO), E.SUN Bank uses to develop the AI assistant. Since the Retrieval Augmented Generation (RAG) system powered by Vertex AI Search supports unstructured…
Provides 24/7 mortgage consultation service through Conversational Agents

Reported impact

Business outcome

Enables quick information retrieval for bank tellers with Vertex AI Search to streamline services; Provides 24/7 mortgage consultation service through Conversational Agents; Ensures data security for financial services with Cloud Data Loss Protection; Helps prevent AI models from responding to harmful content with the Guardrails API

  • Compliance
  • Customer Experience
  • Productivity Improvement
  • Risk Reduction

Solution

As banking services contain diverse procedures and regulations, E.SUN Bank's less-experienced branch office staff often needed to contact the bank's headquarters when unsure about how to handle customers' requests, prolonging customers' waiting time. Following the technical advice of Google Cloud Professional Services Organization (PSO), E.SUN Bank uses to develop the AI assistant. Since the Retrieval Augmented Generation (RAG) system powered by Vertex AI Search supports unstructured data, which are… Google AI solutions such as Vertex AI Search and Conversational Agents have helped improve our banking services by enabling greater efficiency and convenience. We can now provide more timely services, and our customer net promoter score has been constantly… Key components include Cloud API Gateway moves high-volume events and API traffic between services so the workflow stays decoupled and resilient; Vertex AI Search provides the collaboration or conversational surface where users.

Solution architecture

4 components · 3 layers
  1. Ingest
    • Cloud API Gateway Moves high-volume events and API traffic between services so the workflow stays decoupled and resilient.
  2. Compute
    • Vertex AI Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
  3. Serving
    • Vertex AI Search Provides the collaboration or conversational surface where users work with AI assistance.
    • Conversational Agents Provides the collaboration or conversational surface where users work with AI assistance.

Architecture clues

  • "Our hybrid cloud infrastructure has enabled us to optimize resource management and data processing, paving roads to application of AI," explains Wan-Lee Hsieh, CIO at E.SUN Bank. "To maximize the benefits, we founded…
  • Committed to becoming the leader in financial innovation, E.SUN Bank is constantly expanding its technology capabilities. In 2023, the bank built a hybrid cloud infrastructure partially powered by Google Cloud to access…
  • For E.SUN Bank, the rise of generative AI unlocks more potential of AI, because the technology has become more accessible for both developers and users. The comprehension capability of generative AI is particularly…
  • We believe that generative AI holds great potential to bring our banking services to the next level. With the generative AI solutions of Google Cloud, we can develop quickly while ensuring data security, offering…
  • With Google Cloud, E.SUN Bank provides more timely, accessible banking services while ensuring data security.

Evidence from the source

Enables quick information retrieval for bank tellers with Vertex AI Search to streamline services
Ensures data security for financial services with Cloud Data Loss Protection
Helps prevent AI models from responding to harmful content with the Guardrails API
Provides 24/7 mortgage consultation service through Conversational Agents
We believe that generative AI holds great potential to bring our banking services to the next level. With the generative AI solutions of Google Cloud, we can develop quickly while ensuring data security, offering…
With Google Cloud, E.SUN Bank provides more timely, accessible banking services while ensuring data security.
Transparency Evidence & methodology 81/100 reference value · 77% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value81/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence77%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Google Cloud

    E.SUN Bank customer story

    First-party
    https://cloud.google.com/customers/esunbank
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Mar 6, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Feb 13, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.