Microsoft Telecommunications France

Orange

Enterprise Knowledge Search · IT Operations Automation

The Orange Group is one of the main telecommunications and digital services operators in the world, serving 298 million customers, including individuals, professionals, and large companies.

One of the emblematic use cases concerns the synthesis of intervention tickets in Fiber After-Sales Service for complex cases, allowing teams to reduce their analysis time from 20 minutes to less than 3 minutes!
Thanks to GitHub Copilot, 200 developers have also seen their day-to-day tasks evolve, with code assistance facilitating and accelerating the development of lines of code.
The Orange Group is one of the main telecommunications and digital services operators in the world, serving 298 million customers, including individuals, professionals, and large companies.

Reported impact

Business outcome

We provide a lot of support to our employees in terms of adoption. Within a few months, we can put the developed use case in their hands. We reassure them and do a lot of co-construction and prompt engineering with the business units to improve the solutions.

  • Compliance
  • Cost Reduction
  • Customer Experience
  • Revenue Growth

Solution

Orange built this solution on Azure OpenAI Service, GitHub Copilot. The Orange Group is one of the main telecommunications and digital services operators in the world, serving 298 million customers, including individuals, professionals, and large companies. Azure OpenAI Service provides the generative AI model layer used for summarization, drafting, classification, or copilots in the workflow. GitHub Copilot accelerates software delivery with AI-assisted coding and modernization support. To identify and develop these applications, the choice fell on Microsoft Azure OpenAI Service renowned for its ease of use in a secure environment in Europe ", explains Raphael Mombellet. GitHub Copilot , the AI-based code completion assistant for developers, is also part of the experiment. Business results include we provide a lot of support to our employees in terms of adoption. Within a few months, we can put the developed use case in their hands.

Solution architecture

2 components · 2 layers
  1. Compute
    • Azure OpenAI Service Provides the generative AI model layer used for summarization, drafting, classification, or copilots in the workflow.
  2. Serving
    • GitHub Copilot Accelerates software delivery with AI-assisted coding and modernization support.

Architecture clues

  • The implementation relies on Azure OpenAI Service as a core technical building block.

Evidence from the source

Thanks to GitHub Copilot, 200 developers have also seen their day-to-day tasks evolve, with code assistance facilitating and accelerating the development of lines of code.
The Orange Group is one of the main telecommunications and digital services operators in the world, serving 298 million customers, including individuals, professionals, and large companies.
To identify and develop these applications, the choice fell on Microsoft Azure OpenAI Service renowned for its ease of use in a secure environment in Europe ", explains Raphael Mombellet.
We provide a lot of support to our employees in terms of adoption. Within a few months, we can put the developed use case in their hands.
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 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
    2 metrics describe measurable impact.
  • Deployment scale5/10
    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
    4 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

    Orange customer story

    First-party
    https://www.microsoft.com/en/customers/story/1774095788906881160-orange-azure-openai-service-telecommunications-en-france
    Source type
    Vendor-published customer story
    Published
    Jun 3, 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 Jun 3, 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.