AI for healthcare providers.
Clinician-supervised AI for assessments, clinic letters and referral admin, scoped to your EPR at the audit.
What AI can do in healthcare.
AI can take on the drafting and sorting that surround an appointment: turning a consultation record into a clinic letter, reading inbound referrals and routing them, marking an assessment against your own scheme criterion by criterion, and preparing the booking admin behind each one.
Where organisations like yours start.
Drafts each assessment against your own scheme and shows the working criterion by criterion.
Turns the consultation record into a clinic letter in the clinician’s own structure, ready to sign.
Reads inbound referrals, routes them and drafts the booking admin that sits behind each one.
Runs inside the EPR your service already uses, scoped to it at the audit rather than promised.
The letters and the assessments already drafted, and a name on each one before it is filed or sent. It also cuts the systems your service no longer needs, and shortens the search through a record.
The audit works out yours.
How we find where AI fits in healthcare.
An AI Audit and Transformation finds where AI fits your service. It is fixed in scope and fee, runs beside your clinicians and assessors, and ends in a costed, prioritised 12 month roadmap naming who owns each workflow. OpenKit becomes your business’s embedded AI team: the people who ran your audit stay on to deliver it. If your EPR will not open an interface, or nothing here is worth automating, we will say so.
The build is part of the same engagement, and what goes live inside your service is measured against the admin hours the audit counted.
How we engage.
Most engagements start with the AI Audit and Transformation. What follows depends on what it surfaces: many teams keep us on as their Embedded AI Lead, and some commission a bespoke build where nothing off the shelf will fit. The AI Charter runs underneath whichever way it goes.
- AI Audit and Transformation Fixed in fee and scope: we measure where the day goes and hand back a costed, prioritised 12 month roadmap, yours to keep.
- Embedded AI Lead We stay inside your service, build the plan into the clinic’s day and train the people who run it.
- AI Charter It writes down what AI is used for in the service and who owns each workflow it touches.
Related work.
One clinician-supervised product live in production, and one discovery sprint that measured the marking before anything was built.
EMQN Marking genetic-test reports without taking the assessor out Six frontier models benchmarked over six languages on real reports, with the accuracy reported per criterion and the failure mode named rather than averaged away. 93-96% Per-criterion accuracy 
MyPain Running a pain assessment inside a boundary the clinicians drew Four agents behind one conversation on web and WhatsApp, with the diagnosis space bounded by a table the clinical team curates and every exchange traced. AI pain triage Clinician-supervised, live at mypain.ai “Working with OpenKit has been a genuinely positive experience. Their team quickly understood the unique challenges of our business and the problem we were trying to solve, and delivered a thorough, evidence-based strategy for our AI-assisted marking platform. We were particularly impressed by their transparent approach, technical expertise, and commitment to long-term partnership and support.”
Secure and private, as standard.
Patient data stays in your environment, and your information governance team agrees residency and lawful basis before a model is chosen. Private AI
ISO 27001, ISO 9001 and Cyber Essentials are certifications we hold, and we operate to UK GDPR. OpenKit is not a care provider and is not regulated by the CQC; the evidence trail each draft leaves belongs to your service.
The questions that decide it.
What does an AI consultancy for UK healthcare actually do?
OpenKit runs a fixed-scope, fixed-fee audit of where AI fits across your clinical and operational workflows as the opening stage of an AI Audit and Transformation, configures the workflows on your existing stack, trains your team, and can stay on as an Embedded AI Lead for the regulatory paperwork. Every workflow is clinician-supervised: the model recommends or drafts, the clinician decides or signs off.
Will the AI replace clinical judgement?
No. Everything we build is clinician-supervised by default. Clinical-decision-support systems are always assistive: they recommend with a confidence score and route uncertain cases to a clinician. Documentation and patient communications draft to a clinician’s queue and require sign-off before sending. We do not build autonomous clinical decision-makers.
How does this work with the DSP Toolkit and Caldicott?
The audit maps your workflows against the NHS DSP Toolkit and Caldicott principles where they apply, and documents what it finds. Every workflow we configure has a documented lawful basis under UK GDPR, a data-flow map, and an audit log. We are not a certifying body for the DSP Toolkit: delivery is designed to operate under the NHS DSP Toolkit, surfacing gaps and proposing mitigations your information governance lead can take to renewal.
Is your work regulated by MHRA as a medical device?
Most healthcare workflows we configure are not software-as-a-medical-device. Where a workflow crosses the line, meaning diagnostic decision support, triage that affects a clinical pathway, autonomous patient communications about care, we flag it at the audit and either redesign to stay below the SaMD threshold or scope a Bespoke Build alongside your regulatory and clinical-safety leads under the MHRA AIaMD framework. We are not a notified body.
Can we keep patient data on-prem?
Yes. We deploy inside your controlled environment by default. Standard options: your VPC, your tenant on Azure UK/EU, or on-prem GPU for sovereign and SaMD-class workloads. Patient data does not leave the room. The model and the audit log sit on the same side of the boundary as the data.
Does this integrate with SystmOne, EMIS, or Vision?
Yes: those three plus Cerner Millennium (UK), Accurx, iPlato, your DMS, PACS for imaging, and M365 / SharePoint for documents. We build on what you already run. The audit maps the integration points and flags where API access is the blocker before we commit to a build.
What about clinical liability if AI makes a mistake?
Clinician-supervised by default means the responsible clinician signs the work. We document the workflow, the audit trail, and the model’s role in writing so the responsible clinician of record is unambiguous. Where the workflow touches clinical liability arrangements, we recommend the practice’s medical-defence union is consulted before go-live. We do not carry clinical indemnity.
How is a healthcare AI engagement structured?
Every engagement opens with the audit stage of an AI Audit and Transformation, which is fixed scope, fixed fee and scoped up front, mapping where AI fits and where it should not go. The build that follows configures what the audit picked and trains your team on it. Bespoke Builds, including SaMD-class systems, are scoped against what the audit surfaces rather than fixed in advance.
What does it cost for an SME healthcare organisation?
The audit is a fixed fee and fixed scope, agreed before kickoff, so there are no surprises on the invoice and no retainer required to reach it. What follows, whether that is the transformation build, an Embedded AI Lead on retainer or a Bespoke Build, is scoped and priced after the audit against what it surfaces. We give you indicative figures on a discovery call.
Have you delivered similar work in healthcare?
Yes. MyPain is clinician-supervised AI for chronic-pain triage on web and WhatsApp, live in production at mypain.ai with full Langfuse traceability. EMQN was an AI discovery sprint in clinical genomics quality assurance, designing an AI-assisted marking platform for genetic-testing laboratories that reached 93-96% per-criterion accuracy across six languages. We can share named references on request.
Find your first workflow.
We start with a conversation, audit where AI actually pays back, and build the first automation into how your team already works. We reply within one working day.