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.