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Microsoft Real Estate and Construction Singapore

CapitaLand Investment

Enterprise Knowledge Search · IT Operations Automation · Real-time Analytics

Using Azure OpenAI Service, the company leveraged AI to build Cubby, its first AI hospitality chatbot for its lodging business, The Ascott Limited (Ascott).

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"Today, we have more than 4,000 users from more than 40 countries consuming data from this platform 24/7, something we could never achieve with disparate platforms," notes Wong.
Ascott is a trusted hospitality company with about 950 properties globally, which offers serviced residences, hotels, and more.
Bringing data together CLI’s journey toward a data-centric culture started in 2016.
It has simplified internal processes, and the increased efficiency led to more than 10,000 man-days saved per year.

Reported impact

Business outcome

It has simplified internal processes, and the increased efficiency led to more than 10,000 man-days saved per year.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

CapitaLand Investment (CLI) is a leading global real asset manager with a strong foothold in Asia. Using Azure OpenAI Service, the company leveraged AI to build Cubby, its first AI hospitality chatbot for its lodging business, The Ascott Limited (Ascott). The Singapore-headquartered company shifted from on-premises data warehouses to a unified, Microsoft Azure-based data platform, with more than SGD1 million savings in operational costs. To bridge and consolidate the company’s data, CLI merged its data warehouses into a single data platform on Azure. CLI also created an enterprise chatbot to handle a range of internal functions, from drafting investment papers to creating marketing communications, all while ensuring data security. It has simplified internal processes, and the increased efficiency led to more than 10,000 man-days saved per year.

Solution architecture

3 components · 1 layer
  1. Compute
    • Azure OpenAI Service Runs the generative AI experience that answers questions, summarizes content, or drafts outputs for users.
    • Azure Provides the secure, scalable cloud foundation for the solution.
    • Azure AI Services Provides AI models and cognitive services used in the customer-facing or employee-facing workflow.

Architecture clues

  • CLI also created an enterprise chatbot to handle a range of internal functions, from drafting investment papers to creating marketing communications, all while ensuring data security.
  • The Singapore-headquartered company shifted from on-premises data warehouses to a unified, Microsoft Azure-based data platform, with more than SGD1 million savings in operational costs.
  • The company developed AI models using Azure Cognitive Services for its investment teams to explore and analyse deals at scale and extract key information.
  • The data platform can also grow alongside CLI as we continue to scale our business.” Looking ahead, CLI is focused on further cultivating a culture of innovation and expertise in AI among its employees.
  • To bridge and consolidate the company’s data, CLI merged its data warehouses into a single data platform on Azure.
  • Using Azure OpenAI Service, the company leveraged AI to build Cubby, its first AI hospitality chatbot for its lodging business, The Ascott Limited (Ascott).

Evidence from the source

It has simplified internal processes, and the increased efficiency led to more than 10,000 man-days saved per year.
The Singapore-headquartered company shifted from on-premises data warehouses to a unified, Microsoft Azure-based data platform, with more than SGD1 million savings in operational costs.
Using Azure OpenAI Service, the company leveraged AI to build Cubby, its first AI hospitality chatbot for its lodging business, The Ascott Limited (Ascott).
Transparency Evidence & methodology 90/100 reference value · 82% 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 value90/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    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 impact25/25
    3 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence82%
  • 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 evidence15/20
    3 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

    CapitaLand Investment customer story

    First-party
    https://www.microsoft.com/en/customers/story/1750108992835776308-capitaland-azure-other-en-singapore
    Source type
    Vendor-published customer story
    Published
    Mar 26, 2024
    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 Mar 26, 2024 · 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.

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