You might have heard about AI agents, or the term might be new to you. Either way, an agent is simply a tool. It’s not a robot, not a standalone chatbot, and not something that replaces staff.

An AI agent takes a task, applies intelligence to it, and produces a clear, useful output, like:

• preparing a summary
• checking a process
• producing a document
• organising information for a decision
• handling a repeat admin task

The best agents save time, reduce friction, and support staff where workload is high and resources are tight.

Our Healthcare Agentathon events are built around this idea. Telefónica Tech will guide your NHS team through how these agents work, and how to build one from scratch without needing technical skills.

1. Clear Purpose

A useful agent solves one specific problem. Examples:

• summarising referral notes
• checking discharge steps
• preparing a rota summary

A narrow focus delivers faster, clearer value.

2. Reliable Inputs

Agents perform best when they receive defined, predictable information. This means knowing:

• what the agent gets
• the format it expects
• how it handles gaps or missing data

This keeps workflows smooth and avoids confusion.

3. Consistent Output

The output should be ready to use. Common formats include:

• Structured summaries
• Checklists
• Short reports
• Draft communications

The aim is to cut repetition, not create extra review work.

4. Safety and Transparency

A good agent supports staff without crossing boundaries. It:

• shows how it reached an answer
• protects sensitive data
• avoids making decisions it’s not meant to

This builds trust and keeps risks low.

5. Easy to Improve

Strong agents adapt. Teams can tweak prompts, refine steps, or extend the workflow as needs change. Small adjustments often deliver noticeable time savings.

To come up with useful ideas for an AI agent, think about the daily friction points in your healthcare organisation.

A ward manager might spend half an hour each morning pulling together updates for a safety huddle. An AI agent can take the same inputs, notes, handover text, and key metrics to return a clean, structured summary in seconds.

Or, take discharge planning. Instead of chasing missing steps across emails and systems, an agent can check the requirements, flag gaps, and prepare a tidy list for review.

These are small tasks, but multiplied across teams, they unlock real time.

You can also use agents to improve consistency. Many NHS teams need standardised documents: escalation reports, performance updates, follow-up letters, rota summaries. An agent can produce a first draft that follows your organisation’s format every time. Staff keep full control, but the groundwork is done for them.

This is where agents shine: reducing effort, tightening processes, and giving people more capacity to focus on the work only they can do.

Too much admin. Slow processes. Information scattered across systems.

If you want to solve these problems in your own team or service, our Healthcare Agentathon gives you a direct, practical way to start.

It’s a full-day, hands-on lab where you will sit with experts, learn the essentials, and build your own AI agent.

You bring a real problem from your organisation – then we guide you through shaping it, designing the workflow, and turning it into a working tool.

In small groups, you will build, test ideas quickly, and refine them with specialists who understand NHS pressures.

By the end of the day, you’ll leave with a functioning agent that demonstrates real value; something you can take back to your organisation and evolve further.

The NHS doesn’t need theoretical AI discussions. It needs tools that help staff reclaim time and improve the flow of everyday work. A great AI agent is simple, targeted, and designed with the user in mind. It enhances service delivery without adding new burdens.