AI is moving into UK healthcare faster than most teams know how to assess it. We help you map where it fits in your organisation, and build bespoke systems where the work calls for it. Across clinics, specialist groups, GP federations, MedTech SMEs and NHS trusts on approved-supplier routes.
OpenKit is a UK AI consulting firm that helps healthcare organisations find where AI fits and builds bespoke systems where the work calls for it. OpenKit delivers AI audits and clinician-supervised builds for UK clinics, specialist groups, GP federations, MedTech SMEs, and NHS trusts via approved-supplier routes. OpenKit holds ISO 27001, ISO 9001, and Cyber Essentials certifications, and aligns to the NHS DSP Toolkit. OpenKit does not replace clinical judgement.
OpenKit is a UK AI consulting firm that helps healthcare organisations find where AI fits and builds bespoke systems where the work calls for it. OpenKit delivers AI audits and clinician-supervised builds for UK clinics, specialist groups, GP federations, MedTech SMEs, and NHS trusts via approved-supplier routes. OpenKit has ISO 27001, ISO 9001, and Cyber Essentials certifications and works with clients across the United Kingdom from a base in Cambridge.
Four patterns we see in every healthcare audit, whether the conversation starts with a clinical lead, a practice manager, an IT director, or a MedTech founder. Each one is also why most quick-win AI rollouts stall before they hit production.
Senior clinicians know AI can help but cannot defend its use without a documented workflow, an audit trail and a sign-off model. Without those, the safer call is to keep doing it manually.
Staff across clinical, admin and operational roles are already using public AI tools at work, with no audit trail and no policy. The liability sits on the individual; the organisation has no visibility on what data has been pasted into a public model.
The line between a clinical workflow tool and a software-as-medical-device classification is not always obvious. Most teams hit the question late, when the build is already half-shipped.
UK GDPR, Caldicott and the DSP Toolkit all expect the controlled environment to stay controlled. That rules out half the SaaS AI tooling the team gets pitched in any given week.
These are the areas that come up most often in audits. We don't ship them off the shelf. Every implementation is shaped to your team, your systems, and what is safe to defend in your environment.
Always-assistive systems with confidence scores, uncertain-case routing to a clinician, and a full audit log on every inference. The model recommends; the clinician decides.
Assistants that answer questions from your own materials (guidelines, SOPs, prior cases) and cite where every answer came from. Deployed inside your controlled environment so the content and the queries never leave it.
Intake triage, documentation, follow-up communications, and post-visit care plans. Drafted by the model, reviewed and signed off by the clinician before anything reaches the patient.
Rota optimisation, coding, claims, referral management, prior authorisation. Most of the healthcare AI value lives outside clinical decisions. Lower regulatory burden, faster to ship.
A clinician-supervised documentation assistant. Drafts the consultation note from the recorded session, cites prior history, and queues for clinician sign-off. We shape work like this around your existing workflow rather than ship it off the shelf.
Every clinician-touching assistant we build follows the same shape. The model never autoreplies, never updates a patient record on its own, never sends communications without sign-off. The audit log retains the prompt, the model output, the clinician's edits, and the final, so the responsible-clinician-of-record is unambiguous at every step.
Most engagements start with the audit. What follows depends on what it surfaces. Many teams move into a transformation block on their existing systems, some take on a senior AI lead to keep the work moving, and a few commission a bespoke build where nothing off-the-shelf will fit.
A fixed-fee, fixed-scope audit of where AI fits across your clinical and operational work. Ends with a written report you can take to a board, a CCG, or an internal team, and a prioritised rollout plan.
A block of configuration, build and training carried out on your existing clinical and operational systems. The team that runs the audit is the team that ships the work, so nothing gets lost between findings and delivery.
A senior OpenKit engineer becomes part of your team. Not an advisor attending meetings, an engineer in the codebase, taking on the audit log review and the next quarter's roadmap. Rolling arrangement, cancel anytime.
For work that goes beyond configuration. A private knowledge engine over a clinical archive, a multi-agent triage pipeline, a software-as-medical-device candidate. Scoped after the audit, since the scope depends on what the audit surfaces.
We build on your existing clinical and operational systems. No rip-and-replace. Below is a sample of what we routinely integrate with. We work across many other systems too, so bring us your stack.
A sample of recent healthcare work. Some clients are named with permission; others stay anonymised. Outcomes are described without internal artefacts.
What we hold and what we operate to. We surface gaps and propose mitigations. We are not a regulatory certifying body.
Information security management. Independent third-party audited.
Quality management. Independent third-party audited.
UK NCSC baseline cyber-hygiene certification.
Data processing register maintained per ICO guidance.
We hold ISO 27001, ISO 9001, and Cyber Essentials certifications independently, and operate to UK GDPR. We are not a clinical-safety auditing body. For software-as-medical-device candidates we work alongside your regulatory and clinical-safety leads.
Start with the audit. Fixed fee, fixed scope, a written report you can take to a board, a CCG, or hand to an internal team, and a prioritised plan for what to build first.
Rethinking What's Possible with AI.
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Having completed our second major AI agent development project with OpenKit, I can confidently say they're the real deal. Our system analyses large, complex and poor quality documents with remarkable accuracy, surpassing solutions like GPT4 and other AI legal tools.
OpenKit's professionalism and creativity shone through our collaboration, ultimately leading to the creation of an AI assistant that has transformed the way our residents engage with and comprehend air pollution information in London.
Working with OpenKit to develop our custom AI agent services has been transformative for our business. Their solution delivers exceptional performance compared to frontier models while remaining remarkably easy to verify and trust.
Their deep understanding of our business needs, coupled with their expertise in GPT and Cloud software-services, enabled them to navigate complexities and deliver a bespoke AI solution tailored to our operations.
OpenKit developed an impressive AI assistant, providing an engaging and informative way for our residents to understand air pollution. Their expertise turned complex data into accessible insights.
OpenKit provided advice and proposed solutions rooted in the most recent AI and prompt-engineering research, genuinely invested in our success. Their expertise in cutting-edge AI technologies was invaluable.