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Microsoft Telecommunications Global

Vodafone

Customer Service Automation · Document Processing · Enterprise Knowledge Search

In the face of rising customer demand for new digital services, global telecommunications provider Vodafone is exploring innovative ways to enhance the customer experience, including better handling of complex inquiries and ensuring timely and personalized responses.

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Africa, Vodafone serves more than 330 million customers in 15 countries
An additional 30% are directed to a live customer care agent that can count on SuperAgent for support.
Currently, TOBi handles nearly 45 million customer calls a month, fully resolving 70% of customer inquiries coming through the company's digital channels.
With a focus on Europe and Africa, Vodafone serves more than 330 million customers in 15 countries and has partnerships with mobile networks in 43 additional...

Reported impact

Business outcome

"So, yes, we are also focused on expansion and serving more people and businesses, but that same strategy applies to our own employees too." Vodafone knew that by empowering its call center employees with cutting-edge tools and resources, it could improve customer interactions and drive better experiences for both customers and its call...

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

Solution

Vodafone used Azure OpenAI Service, Azure AI Foundry, Azure AI Search to replace disconnected manual workflows with a more consistent digital operating model. Where generative AI is involved, Azure OpenAI handles the language understanding layer while connected data and workflow services keep responses grounded in enterprise context. It also connects with surrounding systems such as Call-center telephony, which lets the new Azure-based workflow fit into existing operations rather than standing apart from them. "So, yes, we are also focused on expansion and serving more people and businesses, but that same strategy applies to our own employees too." Vodafone knew that by empowering its call center employees with cutting-edge tools and resources, it could improve customer interactions and drive better experiences for both customers and its call...

Data flow

Content and operational context are prepared in Azure AI Search, passed to Azure OpenAI for generation or extraction, stored in Azure storage services, and returned through the user-facing application to employees or customers with grounded responses.

Solution architecture

5 components · 3 layers
  1. Compute
    • Azure OpenAI Service Runs large language model inference for summarization, extraction, conversational AI, and grounded answers.
    • Azure AI Services Supplies prebuilt AI capabilities such as language, speech, or vision services within the application flow.
  2. Serving
    • Azure AI Search Indexes enterprise content and retrieves grounding context for assistants and search experiences.
    • Microsoft Copilot Provides generative assistance inside end-user productivity workflows.
  3. Orchestration
    • Azure AI Foundry Provides the managed environment for model orchestration, experimentation, and responsible AI operations.

Architecture clues

  • 330 million customers
  • Applies retrieval-based grounding with Azure AI Search before answer generation.
  • Uses Azure OpenAI for grounded generation or large-scale extraction workloads.

Evidence from the source

"As we work with new technologies to build the inclusive digital communities of tomorrow, this is a critical foundation." Vodafone chose to use Microsoft Azure OpenAI Service Azure AI Foundry , and Microsoft Copilot , along with Azure AI...
"So, yes, we are also focused on expansion and serving more people and businesses, but that same strategy applies to our own employees too." Vodafone knew that by empowering its call center employees with cutting-edge tools and resources...
Elsayed says that the process of building enterprise-grade AI solutions was simplified with Azure AI Foundry.
In the face of rising customer demand for new digital services, global telecommunications provider Vodafone is exploring innovative ways to enhance the customer experience, including better handling of complex inquiries and ensuring timely...
Using Microsoft Azure AI Foundry, Azure OpenAI Service, and Microsoft Copilot along with Azure AI Search, Vodafone is building on its successful existing virtual assistant, called TOBi, and has also developed a customer agent solution...
Transparency Evidence & methodology 100/100 reference value · 89% 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 value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    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 scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • 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 specificity10/10
    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

    Vodafone customer story

    First-party
    https://www.microsoft.com/en/customers/story/1770174778560829849-vodafone-group-azure-telecommunications-en-united-kingdom
    Source type
    Vendor-published customer story
    Published
    Feb 5, 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 Feb 5, 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.

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