Microsoft Consumer Goods Global

HEINEKEN

Enterprise Knowledge Search

HEINEKEN wants to explore the capabilities of AI across the organization in a way that builds on past experience and takes advantage of the latest developments. The company has begun using Azure OpenAI Service and its built-in ChatGPT capabilities to build chatbots for employees, while also using other Azure AI services to bring innovation to existing business processes.

Reported impact

Business outcome

Looking ahead, HEINEKEN sees tremendous growth potential in Azure OpenAI Service and other Azure AI services. “We have chosen the right strategic partner for AI with Microsoft,” says Binelli. “AI is a growing technology, and Microsoft provides a wide range of products that can work together to implement AI in a responsible and effective way—we can add AI to Microsoft Power Platform or Teams without having to learn vastly different skill sets because we’re already a heavily Microsoft shop.”

  • Productivity Improvement

Solution

HEINEKEN wants to explore the capabilities of AI across the organization in a way that builds on past experience and takes advantage of the latest developments. The company has begun using Azure OpenAI Service and its built-in ChatGPT capabilities to build chatbots for employees, while also using other Azure AI services to bring innovation to existing business processes. Employees are thrilled about the possibilities of AI and have been suggesting a wide variety of use cases. HEINEKEN used Azure AI Document Intelligence, Azure AI Services, Azure OpenAI Service, Power Platform to support enterprise knowledge search with a governed operating model that connected the relevant data sources, automation logic, and employee-facing experiences without custom point-to-point tooling.

Data flow

Incoming documents are analyzed with Azure AI Document Intelligence and Azure AI Services, matched to the right records, and then surfaced back to healthcare staff through the operational workflow.

Solution architecture

6 components · 3 layers
  1. Compute
    • Azure AI Document Intelligence Extracts structured fields and text from forms or document images to reduce manual processing.
    • Azure AI Services Supplies language, vision, and other AI APIs that classify, interpret, or enrich source content.
    • Azure OpenAI Service Provides large language model inference for natural language search, drafting, summarization, and recommendations.
  2. Serving
    • Power BI Delivers dashboards, reports, and self-service analytics to business users.
    • Microsoft Teams Delivers collaborative experiences where users consume analytics, copilots, and workflow notifications.
  3. Orchestration
    • Power Platform Provides the low-code automation platform used to build, govern, and scale business apps and workflows.

Architecture clues

  • Azure AI Document Intelligence: Extracts structured fields and text from forms or document images to reduce manual processing.
  • Azure AI Services: Supplies language, vision, and other AI APIs that classify, interpret, or enrich source content.
  • Azure OpenAI Service: Provides large language model inference for natural language search, drafting, summarization, and recommendations.
  • Power Platform: Provides the low-code automation platform used to build, govern, and scale business apps and workflows.

Evidence from the source

HEINEKEN wants to explore the capabilities of AI across the organization in a way that builds on past experience and takes advantage of the latest developments. The company has begun using Azure OpenAI Service and its built-in ChatGPT capabilities to build chatbots for employees, while also using other Azure AI services to bring innovation to existing business processes.
Like many companies, HEINEKEN is now using AI to transform business processes and has been for some time. Excitement for AI has rippled throughout the company, and many employees began experimenting with ChatGPT from OpenAI when it became widely available.
Looking ahead, HEINEKEN sees tremendous growth potential in Azure OpenAI Service and other Azure AI services. “We have chosen the right strategic partner for AI with Microsoft,” says Binelli. “AI is a growing technology, and Microsoft provides a wide range of products that can work together to implement AI in a responsible and effective way—we can add AI to Microsoft Power Platform or Teams without having to learn vastly different skill sets because we’re already a heavily Microsoft shop.”
“Everyone was jumping on the ChatGPT bandwagon, and we wanted them to do it in a way that offers greater security and governance than sharing potentially sensitive corporate information through a public interface,” says Giada Binelli, Global Product Owner at HEINEKEN. “Employees can now use it through Teams, safely within our HEINEKEN IT ecosystem.”
“With Azure OpenAI Service, we get the innovation of OpenAI with the scalability, flexibility, and high security of the Azure platform.”
Transparency Evidence & methodology 66/100 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 value66/100
  • 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 impact0/25
    0 metrics 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

    HEINEKEN customer story

    First-party
    https://www.microsoft.com/en/customers/story/1685696409285197342-heineken-consumer-goods-azure-ai
    Source type
    Vendor-published customer story
    Published
    Sep 26, 2023
    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 Sep 26, 2023 · 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.