Agentic AI combines AI models with tools that allow them to take actions inside systems. Unlike chatbots that only return information, agentic AI can complete multi‑step workflows end‑to‑end; triggering processes, sending outputs, and automating tasks a human would otherwise need to finish. Learn more about what makes agentic AI different →

Agentic AI helps organisations move beyond task‑level automation to smarter, end‑to‑end business processes. When implemented it improves efficiency, reduces manual effort, and enables smarter decision-making. It allows businesses to automate complex workflows, personalise user experiences, and scale operations without increasing headcount. It’s especially useful in environments where speed, accuracy, and responsiveness are important.

Agentic AI is built on advanced large language models combined with orchestration, integration, and automation technologies that allow AI to act across business systems. For example, in a Microsoft ecosystem, this includes services such as Microsoft Azure AI, Azure OpenAI, Microsoft 365 Copilot, and Copilot Studio. In a Databricks ecosystem, this includes the Databricks Lakehouse Platform, Delta Lake, MLflow, and Unity Catalog, which provide governed data, analytics, and machine learning foundations.

These technologies enable AI agents to understand context, complete multi-step tasks, and take action within defined guardrails turning AI from a passive assistant into an active participant in business processes. Telefónica Tech works with all of the above agentic AI technologies and is able to suggest the most suitable based on your unique business requirements.

AI agents are not designed to replace humans, but to work alongside humans. Their main purpose is to support and enhance human work by automating repetitive or data-heavy tasks. In some cases, they may take over the mundane elements of certain roles, but the broader goal is to free up human time for more strategic, creative, or interpersonal work. Think of them as your assistant.

Agentic AI can be deployed securely on enterprise-grade platforms with governance built in from the start. Using Microsoft and Databricks technologies, agentic AI benefits from built-in security, identity management, data protection and compliance control aligned to specific industry regulations. With role‑based access, auditability, data residency controls, and clear boundaries on agent behaviour, organisations can innovate with confidence without compromising trust, compliance, or control.

The Prism Framework to agentic AI adoption is different from other approaches because it recognises that transformation does not follow a straight path. Different business units may progress at varying speeds, and that’s why Prism breaks down the enterprise into cube components – cubes that make up the whole prism (your organisation). This allows targeted AI adoption, enabling leaders to simultaneously zoom out for the holistic view. Get in touch to discuss the benefits for your organisation →

Prism is a 4-week engagement typically covering Strategic Alignment, Opportunity Mapping, Priority Setting, and Roadmap & Investment. We can customise a package to your needs, with varying levels of assessment depth. Please get in touch for your tailored quote →