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Telefónica

Enterprise Knowledge Search · IT Operations Automation

Telefónica needs to evolve and maintain a very large API and microservices estate without slowing delivery, while keeping integrations understandable, compliant, secure and maintainable; it also wants to reduce manual effort in recurring internal IT support processes.

Reported impact

Business outcome

Telefónica reports faster software delivery, more accessible system knowledge for integration teams, automated handling of some recurring IT support tasks, and a move toward more efficient, secure and scalable digital integration.

  • Productivity Improvement
  • Risk Reduction
  • Scalability
  • Speed to Market

Solution

Telefónica describes an internal AI-enabled integration approach rather than a vendor product deployment. In development and integration work, generative AI is used as an accelerator around microservice delivery: it helps engineers understand unfamiliar systems, turns technical documentation into assistants that can answer API-field and response-format questions, and supports system mocking so integration tests can run with realistic service behaviour before full infrastructure is deployed. Telefónica also describes AI agents as the next layer of automation, with the ability to use the terminal, install dependencies, run scripts, inspect error messages and resolve issues across end-to-end workflows. In operations, the company has integrated an AI agent into IT support so some onboarding-related access requests can be answered automatically. The source does not name model providers, storage platforms or serving infrastructure, but it does emphasize private infrastructure, least-privilege access, and guardrails for deterministic, validated use in critical systems.

Data flow

Technical documentation, API definitions and support requests are provided to generative AI and AI agents; the AI interprets documentation, simulates service responses for testing, or handles workflow steps such as answering access tickets, and the outputs are consumed by developers, integrators and internal support users.

Solution architecture

2 components · 2 layers
  1. Compute
    • generative AI Used to accelerate microservice development, interpret technical documentation, answer API questions and simulate service behaviour for integration testing.
  2. Orchestration
    • AI agent Automates end-to-end workflows such as running terminal tasks and responding to some internal IT support access requests.

Architecture clues

  • Generative AI is used for system mocking to support integration tests before full infrastructure deployment.
  • Guardrails are required so AI responses in critical systems meet deterministic standards.
  • Telefónica says it uses private infrastructure and strict agreements to protect confidential data.
  • The company says agents should operate under the principle of least privilege.

Evidence from the source

"I recently had the chance to try out one of the most interesting use cases: integrating an AI agent into IT support at Telefónica."
"That is why companies such as Telefónica use private infrastructure and strict agreements to protect data."
"Using AI allows us to turn technical documentation into assistants: 'What fields are required for a call to the x API?' or 'In what format is the data returned?'"
"When developing a microservice, or indeed any other software at Telefónica, generative AI acts as an unprecedented accelerator, drastically reducing time-to-market."
"generative AI can be used to simulate the behaviour and responses of a service that already exists or has not yet even been developed"
"they can use the terminal, install dependencies, run scripts, read error messages and resolve them independently."
Transparency Evidence & methodology 75/100 reference value · 95% confidence · 2 sources

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 value75/100
  • 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 impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence95%
  • Source authority25/25
    The deployment is described by the adopting organization or a government source.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    2 source references 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. Telefónica

    Telefónica customer story

    First-party
    https://www.telefonica.com/en/communication-room/blog/artificial-intelligence-apis-telefonica/
    Source type
    Customer-published story
    Published
    Jul 23, 2026
    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
  2. Telefónica

    Legal notice - Telefónica

    First-party
    https://www.telefonica.com/en/legal-notice/

    Registered office: Gran Vía 28, 28013 Madrid, España.

    Source type
    official company website
    Supports
    • Region

Date evidence

  • Published on source page Jul 23, 2026 · Telefónica · First-party
    Open date source
Not separately sourced Industry, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.