Our story

Built from a problem we couldn't stop thinking about

It started with a conversation with a GP partner about their week. They described spending Friday evening working through a backlog of hospital letters including discharge summaries, outpatient notes and post-operative letters. Each one required them to identify buried follow-up actions and manually set each task in motion.

That conversation stuck with us. We started looking at the problem more carefully. Hospital correspondence volume is growing. GP capacity isn't. The tools GPs use to manage letters, primarily SystmOne and EMIS, are designed for document management, not for intelligent triage of unstructured clinical text.

What didn't exist was something that could read the letter, extract every action it contained, and present them for a fast, structured review without adding a new workflow or application to an already stretched team's day.

That's what we set out to build. Care Continuo AI is not a diagnosis engine, a document summariser, or a generic inbox AI. It is a single-purpose tool that solves one specific problem: making sure that every action in every hospital letter gets reviewed, decided on, and actioned.

Care Continuo AI allows patients to get the care they need and GPs get a peace of mind.

Our mission

"To ensure that every action in every hospital letter is reviewed, decided on, and safely actioned for every patient, every time."

Trust first

GPs and patients must be able to trust this tool completely. We will never compromise clinical safety for speed or scale.

Human-led

AI is a tool, not a decision-maker. Every clinical decision remains with the clinician. Always.

Precision over breadth

We do one thing and do it well before we expand. Hospital letters first. Excellence in that, before anything else.

NHS-native

Designed for the NHS environment, integrated into SystmOne. Meets NHS standards and DCB compliance.

Current stage

We are at the problem–solution fit stage, conducting discovery interviews with GPs and practice managers and validating the prototype with real clinical teams. We are not yet in a pilot, but we are actively looking for the right early-adopter practices to co-design one with us.

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