Microsoft Financial Services Asia

AIA Group

Customer Service Automation

AIA Group transforms customer service with generative AI using Copilot in Dynamics 365 Customer Service.

AIA Group (AIA) is the largest independent publicly listed pan-Asian life insurance group, serving the holders of more than 42 million individual policies and 16 million participating members of group insurance schemes in 18 markets across Asia.
AIA Group transforms customer service with generative AI using Copilot in Dynamics 365 Customer Service.
As a part of that initiative, the team implemented Microsoft Dynamics 365 Customer Service in its contact centers, ultimately aiming to reshape customer experience.
As one of the ways to transform the service experience for its customers and employees alike, AIA turned to Microsoft Dynamics 365 Customer Service.

Reported impact

Business outcome

Copilot helps customer service representatives find information faster, helping to reduce average case handling time.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement

Solution

AIA Group transforms customer service with generative AI using Copilot in Dynamics 365 Customer Service. Copilot case and conversation summaries allow service representatives to focus on building meaningful customer relationships. Copilot allows customer service representatives to handle more cases in less time by automating time-consuming tasks like drafting customer emails and summarizing lengthy chats and case histories AIA Group (AIA) is the largest independent publicly listed pan-Asian life insurance group, serving the holders of more than 42 million individual policies and 16 million participating members of group insurance schemes in 18 markets across Asia. For more than a century, AIA has worked to make a positive impact on its customers and their communities by offering a range of insurance, long-term savings plans, employee benefits, and pension services.

Solution architecture

2 components · 1 layer
  1. Serving
    • Copilot in Dynamics 365 Customer Service Guides agents with AI-generated summaries, responses, and next steps inside the service workflow.
    • Dynamics 365 Customer Service Centralizes customer interactions, case context, and agent workflows.

Architecture clues

  • AIA Group (AIA) is the largest independent publicly listed pan-Asian life insurance group, serving the holders of more than 42 million individual policies and 16 million participating members of group insurance schemes i
  • AIA Group transforms customer service with generative AI using Copilot in Dynamics 365 Customer Service.
  • Copilot in Dynamics 365 Customer Service: Guides agents with AI-generated summaries, responses, and next steps inside the service workflow.
  • Dynamics 365 Customer Service: Centralizes customer interactions, case context, and agent workflows.
  • Integrates with customer and case data.

Evidence from the source

AIA Group (AIA) is the largest independent publicly listed pan-Asian life insurance group, serving the holders of more than 42 million individual policies and 16 million participating members of group insurance schemes in 18 markets across Asia. For more than a century, AIA has worked to make a positive impact on its customers and their communities by offering a range of insurance, long-term savings plans, employee benefits, and pension services.
AIA Group transforms customer service with generative AI using Copilot in Dynamics 365 Customer Service.
Copilot allows customer service representatives to handle more cases in less time by automating time-consuming tasks like drafting customer emails and summarizing lengthy chats and case histories
Copilot case and conversation summaries allow service representatives to focus on building meaningful customer relationships.
Copilot helps customer service representatives find information faster, helping to reduce average case handling time.
Transparency Evidence & methodology 85/100 reference value · 87% 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 value85/100
  • 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 specificity20/20
    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 confidence87%
  • 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
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • 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. Microsoft

    AIA Group customer story

    First-party
    https://www.microsoft.com/en/customers/story/21062-aia-group-dynamics-365-customer-service
    Source type
    Vendor-published customer story
    Published
    Jan 22, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Jan 22, 2025 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.