Create more output

AI agents for healthcare businesses

Research, drafting, notes and routine questions eat a normal week. AI agents take on that knowledge work, built around a specific role in your business.

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Knowledge work eats the week

A lot of what fills a healthcare business's week isn't clinical or client-facing work at all. It's research, first drafts, meeting notes, and answering the same routine questions again and again.

Hiring more people to cover it is expensive and slow. A generic chatbot bolted onto a website rarely helps, because it doesn't know your business, your systems or your patients.

What we do

This is conversational AI in healthcare: agents built around a specific task or role in your business, connected to the systems you already use.

Internal knowledge assistants

An agent that knows your policies, procedures and past decisions, so your team gets a straight answer instead of searching three systems.

Research and drafting support

Agents that pull together a first draft of a document, a proposal or a piece of content, giving a person a starting point already on the page.

Meeting notes and action summaries

Notes and action items captured automatically, so nothing said in a meeting gets lost by the time everyone's back at their desk.

Enquiry and admin assistants

An AI receptionist for medical practices that handles routine questions and admin tasks around the clock, so your team only steps in for the ones that need a person.

What it looks like in practice

A few examples of what an agent can take on.

An answer instead of a search

A question about how a particular process works gets answered by an internal assistant in seconds, instead of a dig through old emails.

A first draft

An agent produces the first version of a piece of marketing content, a proposal or a policy document, so a person can start editing straight away.

Notes that capture themselves

Meeting notes and action items get captured automatically during a leadership meeting, so nothing said gets lost by the time everyone's back at their desk.

How an engagement works

01Discovery call, 15 to 30 minutes
We talk through where knowledge work is piling up and what you'd want an agent to take on.
02Audit, 30 to 60 minutes
A longer session to map the actual task, decide what the agent needs to know, and where it needs to connect.
03Scope of work, about 20 minutes
We walk you through what we'd build, what it costs, quoted from an estimate of the hours involved, and what it needs from your side to work well.
04Build and adopt
We build the agent, connect it, and make sure your team knows how to use it before we call it done.

Frequently asked questions

Does an AI agent replace someone's job?

No. It takes on the repetitive research, drafting and admin work, so the person in that role spends their time on judgement calls and relationships instead.

What's the difference between an agent and a chatbot?

A chatbot answers general questions. An agent is built around a specific task or role in your business, connected to your own information and systems.

Is our data safe?

Data handling is agreed in the scope before anything is built. We build around your existing systems and follow what's agreed for how information is handled and stored.

Can an agent handle clinical documentation?

It depends on the workflow. Clinical documentation AI is developing fast, and we review what you need during the audit, recommending only what's appropriate and within what the tools can reliably do today.

Find out what an agent could take off your plate

Book a discovery call and we'll help you work out where an agent actually fits.

Book a discovery call

Related services

If the bigger issue is admin, leads or a wider AI plan, take a look at AI Workflow Automation, AI-Powered Growth, and AI Strategy & Adoption.