Overview

Moving AI from experimentation into production requires more than choosing a model or developing an application. Organisations need the right data, technology, integration, security and governance foundations to make AI work across the business.

 

Telefónica Tech’s Enterprise AI Platform brings these capabilities together through a flexible, governed architecture that helps organisations develop, deploy, manage and scale AI. We help you connect existing data and systems with AI models, agents and applications, establishing the controls and capabilities needed to support wider adoption. Our approach is tailored to your organisation’s requirements, technology environment and business priorities.

Enterprise AI platform supporting AI development and collaboration

What Is An Enterprise AI Platform?

An Enterprise AI Platform provides a shared technology environment for developing, deploying, governing and managing AI across an organisation.

 

It connects enterprise data and systems with AI models, agents and applications, providing the architecture, integration and controls needed to use AI consistently and securely.

 

Rather than managing individual AI initiatives separately, an Enterprise AI Platform establishes reusable capabilities that can support different use cases and evolve as adoption grows.

 

It enables organisations to:

  • Connect AI solutions to trusted enterprise data and systems.
  • Develop and deploy AI models, agents and applications.
  • Manage access to models, tools and information.
  • Apply consistent security and governance controls.
  • Monitor AI usage, performance and costs.
  • Extend AI capabilities across teams and business processes.

 

At Telefónica Tech, we take a flexible, model-agnostic approach, bringing together the technologies and expertise that best fit your organisation.

Enterprise AI platform enabling teams to use AI across the organisation

Why Do You Need A Enterprise AI Platform?

As organisations introduce more AI tools and applications, managing them consistently becomes increasingly complex.

 

Without shared foundations, organisations can face:

  • Fragmented AI initiatives: Different teams adopt models, tools and applications without a consistent architecture or approach to governance.
  • Limited visibility and control: It becomes difficult to understand which models and agents are being used, what information they can access and how they are operating.
  • Disconnected data and systems: AI solutions struggle to access the trusted information and business context they need.
  • Unclear costs and usage: Model and token consumption can grow without sufficient monitoring, cost attribution or spending controls.
  • Challenges moving into production: Successful pilots remain isolated because the integration, security and operating capabilities needed to scale are not yet in place.

 

An Enterprise AI Platform provides a more consistent approach, helping organisations establish the foundations to develop, govern and manage AI as adoption grows.

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One Governed Platform for Enterprise AI

Our Enterprise AI Platform brings together the data, integration, AI and governance capabilities needed to develop, deploy and scale AI across your organisation. Its flexible architecture connects enterprise data and systems with the tools to build and manage AI solutions, from agents and applications to model operations and AI assistants. With security, governance and control built into the platform, your organisation can adopt AI with greater confidence while retaining the flexibility to choose the technologies that best meet its needs.

Bringing the architecture to life with Databricks

Databricks is one example of how the Enterprise AI Platform architecture can be implemented. Its capabilities can support different parts of the platform, including agent development, AI governance, model management and access to enterprise data.

 

Databricks Unity AI Gateway is an important component within this architecture, helping organisations control, govern and optimise AI interactions. It sits within the wider AI Gateway capability of the Enterprise AI Platform.

Book a Unity AI Gateway Demo Learn more about Unity Gateway

What’s Included In Our Enterprise AI Platform

01 Connect

Connect AI to your enterprise data, systems and applications.

We help bring together the information and technology AI solutions need to operate effectively, including enterprise systems, data platforms, applications and external knowledge sources.

This provides AI with relevant business context while maintaining appropriate access and data controls.

01 Connect
02 Integrate

Establish controlled connections between AI and your technology environment.

We design integration capabilities that allow AI models, agents and applications to interact with enterprise systems and information. This can include permission-aware connections and technologies such as Model Context Protocol (MCP), helping ensure AI access is aligned with your organisation's security and governance requirements.

02 Integrate
Secure
03 Govern & Build

Develop and manage AI within a controlled environment.

We help establish the platform capabilities needed to build, orchestrate and manage AI models, agents and applications.

Depending on your requirements, these can include:
• AI Gateway: Manage model access, routing, security, usage and cost controls.
• Agent Platform: Build, orchestrate, evaluate and monitor AI agents.
• MLOps Platform: Support the development, management and deployment of machine learning models.
• Ontology: Provide agents with structured business context.
• Vector Stores: Support search and retrieval across enterprise information.
• Application Hosting: Provide environments to deploy and operate AI-powered applications.

Monitoring, governance and security capabilities help provide visibility and control as AI usage expands.

03 Govern & Build
Customer and colleague experience
04 Consume

Bring AI into the applications and workflows people already use.

We help make AI capabilities available through assistants, agents and applications, connecting them to the processes where they can support employees and business operations.

This helps organisations move beyond disconnected AI tools and embed capabilities into everyday work.

04 Consume
Data & AI Strategy Hero

Explore the Enterprise AI Platform

Watch The AI Adoption Challenge on-demand

Discover how Telefónica Tech and Databricks approach the foundations needed to build, govern and scale AI across your organisation.

Watch the on-demand webinar→

Enterprise AI platform supporting secure data and AI development

Benefits of an Enterprise AI Platform

A shared, governed platform helps organisations establish a more consistent approach to AI adoption while retaining flexibility over the technologies they use.

 

Greater Control Over AI

Understand which models, agents and applications are being used, what they can access and how they interact with enterprise systems and information.

 

Stronger Security & Governance

Apply consistent approaches to permissions, model access, monitoring and oversight, supporting responsible AI adoption across the organisation.

 

Improved Cost Visibility

Monitor inference and token usage, attribute consumption to individual use cases and introduce appropriate budgets and spending limits.

 

Flexibility Across Models & Technologies

Adopt an architecture that supports different models and platform technologies, based on your business requirements, data restrictions and deployment needs.

 

A Repeatable Route to Production

Establish reusable architecture, integration and governance patterns that help move successful AI initiatives into production and support further development.

 

Wider AI Adoption

Connect AI capabilities to existing applications and business processes, helping employees access the tools and information they need.

Why Choose Telefónica Tech

Expertise Across the Technology Landscape

Our capabilities span Data, AI, Cloud, Applications and Cyber Security, bringing together the expertise needed to establish and support enterprise AI environments.

Flexible, Model-Agnostic Architecture

We work with different models and platform technologies, designing an approach around your organisation's requirements and existing technology investments.

Strategy Through to Implementation

We support organisations from assessing AI maturity and prioritising opportunities through to architecture, development, deployment and ongoing optimisation.

Governance Built Into the Approach

We consider security, data access, responsible AI, monitoring and cost management as part of the platform architecture, helping organisations maintain oversight as adoption grows.

Enterprise AI platform connecting cloud, data and AI infrastructure

Would You Like to Learn More About Our Enterprise AI Platform?

If you’re asking: “How do we move beyond AI experimentation and build a secure, governed platform that supports AI across our organisation?”

Telefónica Tech can help you establish the data, technology, integration and governance foundations needed to develop and scale AI.

Contact our experts to discuss your Enterprise AI Platform requirements and identify the right next step.


Frequently Asked Questions

An Enterprise AI Platform is a shared technology environment that enables organisations to develop, deploy, govern and manage AI across their business. It connects enterprise data and systems with models, agents and applications through a common architecture.

It can include enterprise data connections, integration services, AI gateways, agent development and orchestration, model management, governance, monitoring, vector stores and application hosting. The specific components depend on organisational requirements.

Organisations use an Enterprise AI Platform to manage AI more consistently as adoption grows. It helps establish common architecture, improve oversight, manage costs, connect AI to enterprise information and create a repeatable route from experimentation to production.

No. An Enterprise AI Platform is an architecture and set of connected capabilities rather than one individual product. It can bring together different data platforms, cloud services, AI models, integration tools and governance technologies.

Yes. A model-agnostic architecture can support different foundation models and providers, allowing organisations to select technologies based on their business requirements, security considerations, data restrictions and deployment needs.

It can provide controls for model access, permissions, usage, monitoring and cost management. These capabilities help organisations understand how AI is being used and apply consistent oversight across different applications and use cases.

It provides reusable architecture, integration, security and governance capabilities that support the development, evaluation, deployment and ongoing management of AI solutions. This helps organisations move beyond isolated pilots towards a more consistent approach to production and adoption.

An AI model processes information and generates outputs. An Enterprise AI Platform provides the wider environment to connect, deploy, govern, monitor and manage models alongside enterprise data, systems, agents and applications.