Leeds is the NHS digital capital of England. NHS Digital is headquartered in Leeds. Leeds Teaching Hospitals NHS Trust is the largest in the country by patient throughput. The West Yorkshire health-tech cluster around the city is the densest concentration of NHS-adjacent technology suppliers outside London. For an AI agency, that is a high-stakes, slow-moving, deeply regulated procurement environment. For the Trusts and the suppliers operating in it, the question is what to put AI on without ending up in front of an information governance committee defending a data export you should not have made.
This is what we build into Leeds NHS environments.
The Leeds NHS automation workload
Three high-value workloads recur across Leeds NHS engagements.
Clinical-letter triage and referral routing. Consultant clinics across Leeds Teaching Hospitals, Mid Yorkshire, and the wider West Yorkshire ICS handle volumes of incoming letters and referrals that take consultant or specialist nursing time to read, classify, and route. The cognitive load is not the clinical decision; it is the working-through. AI that reads, classifies by specialty and urgency, and routes with full audit context removes that load while keeping the clinician in the decision authority.
Subject Access Request processing. GDPR SAR turnaround inside the statutory window is a recurring information governance challenge for any NHS Trust at scale. The work is search across multiple clinical and operational systems, redaction of third-party identifiers and exempt material, response packaging, and audit. We have shipped SAR pipelines that compress 22-day turnarounds to under 4 hours of working time, with the IG officer signing off.
Research-data governance. Leeds NHS Trusts host substantial research activity in collaboration with the University of Leeds, the AI Hub, and external partners. Managing research-data flows under HRA, REC, and patient-consent constraints is a documentation-intensive process. Full code AI that maintains the data flow records, consent register, and access audit trail removes a recurring administrative cost from research delivery.
Why no third-party LLM
The hard architectural constraint for NHS workloads is that patient identifiable data does not leave the controller without explicit lawful basis and patient awareness. The standard commercial LLM contract sends content to the provider for inference. That is a data export. For NHS use, it is not an acceptable architecture.
Full code AI deployed inside the Trust's own infrastructure removes the constraint entirely. The model runs in the Trust's tenancy. Inference happens on infrastructure the Trust controls. The audit trail is in the Trust's own logging stack. No data leaves.
This is also the architecture that survives an NHS DSPT review without compromise. ISO 27001:2022, Cyber Essentials, ICO-registered, GDPR-compliant by design, with the technical evidence the IG officer needs for the toolkit submission.
How we deliver into Leeds
Ayoob AI is registered at Newbridge Street, Newcastle upon Tyne. Newcastle to Leeds is a 90 minute direct train, and Leeds is a regular part of our delivery footprint.
Discovery is in person, in Leeds, in week one. Technical design review at month one is in person. For Trust engagements that need weekly on-site presence, particularly during information governance reviews, clinical safety case compilation, and NHS DSPT evidence gathering, that is part of the retainer scope at no extra cost.
The procurement profile fits NHS direct award. Place on CCS RM6200 (AI Dynamic Purchasing System) and RM6173 (Automation Marketplace), so Trust procurement teams can direct-award without re-tender where the framework call-off conditions permit. Five pending UK patents on the GPU and AI compute infrastructure underneath the work.
Clinical safety and the Trust's CSO
We do not own the clinical safety case. The Trust's clinical safety officer does. Our role is to make compiling DCB0129 and DCB0160 evidence straightforward rather than a multi-month archaeology project. We provide the technical artefacts, audit trails, and documentation the CSO needs. The CSO signs.
The boundary matters. Suppliers who claim to deliver a CSO-ready system without the Trust's CSO involved are usually misunderstanding the regulation. We take the boundary seriously because it is the only structure that survives a serious review.
Pricing and commercial shape
Existing systems retainer from £4,000 per month. New systems retainer from £6,000 per month. Both on a 12-month minimum term. Exact pricing is set on consultation against a written scope, fixed inside one week of the discovery call.
Hosting and model API costs sit outside the retainer and are paid by the Trust to their own cloud and model providers. No per-seat software licences. No marked-up cloud costs. No third-party LLM subscription. The retainer commercial model is covered in detail at what AI automation actually costs a Newcastle SMB, and the broader Leeds delivery picture is at AI automation Leeds.
Getting started
The first step is a 30 minute discovery call. We tell you straight whether the work is a fit, and if it is we send a written scope and a fixed monthly number within a week.
