AI for Healthcare That Gives Time Back to Care
HAeX builds AI solutions for UK healthcare providers — clinical documentation assistants, referral and discharge automation, patient-facing chatbots and healthcare AI governance. Designed for NHS and private care from day one: information governance, clinical safety and the MHRA boundary are part of the spec, not an afterthought.
- IG & Caldicott-aware by design
- Clinical safety in the build spec
- UK-hosted & on-premise options
2–3h
Of a typical clinical day spent on documentation, not patients
1 in 4
Referrals delayed by missing or misdirected information
6–8%
Of appointments lost to DNAs that reminders and rebooking flows recover
100%
Of our healthcare builds ship with DPIA and governance documentation
The healthcare reality
Your clinicians didn't train for a decade to fight a keyboard.
The documentation tax
Demand that outruns capacity
Innovation frozen by risk
The pattern that works: start with administrative burden, engineer for governance from day one — fast ROI, low clinical risk, and an approval process the project actually survives.
The same Tuesday, two ways
Nothing dramatic changes. Everything changes.
A practice manager's Tuesday
- Today
- 07:42
- 12:20
- 09:15
- 15:40
- 18:55
The same Tuesday
- Six weeks after go-live
- 07:42
- 09:15
- 12:20
- 15:40
- 18:55
Every service, translated for healthcare
Our AI Services for healthcare providers
- 01 · Consult
AI Strategy for Healthcare Organisations
A readiness assessment that speaks your language — data maturity across your EPR and legacy systems, IG constraints, clinical risk appetite — and a roadmap ranked by ROI and approvability, so the first project is one your IG lead and Caldicott Guardian can say yes to.
- AI readiness assessment for trusts, PCNs and private groups
- Costed roadmap sequenced from admin wins to clinical ambitions
- Use case triage scored on value, clinical risk and IG complexity
- Board & committee briefings in plain English, hype-free
- 02 · Build
Custom AI for Clinical & Patient Workflows
- Clinical documentation assistants — letters & summaries drafted, clinician-approved
- EPR & practice-system integration — EMIS, SystmOne, secure APIs
- Patient chatbots — booking, prep, navigation; signposting, not diagnosing
- Knowledge-base assistants — policies and pathways answered instantly for staff
- 03 · Automate
Healthcare Process & Workflow Automation
- Referral triage & routing — read, classify, direct, with exceptions escalated
- DNA reduction flows — smart reminders, easy rebooking, list backfill
- Patient communications — results letters, follow-ups and recalls on rails
- Discharge & clinic letter workflows — drafted, routed, chased to completion
- Clinical coding support — suggested codes, human-verified, audit-trailed
- Back-office automation — invoicing, rostering admin, report generation
- 04 · Govern
Healthcare AI Governance & Compliance
- DPIA & IG documentation — ready for your IG lead and Caldicott Guardian
- MHRA boundary assessment — is it a medical device? Answered before you build
- Shadow AI audit — find where patient data is already leaking into free tools
- Clinical safety cases — DCB0129/0160 aligned documentation
- AI usage policy for clinical settings — what staff may and may not do, clearly
- Vendor AI assurance — evidence-based review of the AI your suppliers sell you
- 05 · Recruit
Clinical & Health-Data AI Talent
- Health data scientists — experienced with coded, messy, sensitive records
- Clinical informatics & AI leads — executive search for the roles that steer it all
- ML engineers for healthtech products and NHS-adjacent programmes
- Contract specialists — project-based expertise without the permanent headcount
- 06 · Train
AI Training for Clinical & Admin Teams
- Safe AI use for clinical staff — boundaries, data rules, documented sign-off
- Leadership briefings — capability, risk and investment, minus the hype
- Admin team upskilling — letters, rotas, reports with AI assistance
- Policy + training packages — the rules and the skills, delivered together
Not sure which of these your organisation needs first?
Take the free AI Readiness Assessment — healthcare edition scores IG and clinical-risk readiness too.
How healthcare projects actually get delivered
A delivery path designed around your approval process
A quiet checklist
If three of these sound familiar, the timing is right
- Clinic letters are being finished at kitchen tables after 8pm
- Someone senior has asked "what's our AI position?" and the answer was a pause
- DNA rates are discussed at every meeting and changed by none of them
- Coding queries and audit prep eat days that were budgeted as hours
- The referral inbox has its own backlog spreadsheet — and an owner
- Staff are already using free AI tools, and nobody's entirely sure with what data
- A promising AI pilot died somewhere between IG, procurement & a committee
- Your patient-facing team answers the same thirty questions every single day
Recognise your Tuesday in this list?
The free readiness assessment turns "familiar" into a scored, prioritised starting point.
A quiet checklist
Questions to ask anyone offering you healthcare AI
| Ask them… | The common answer | The HAeX answer |
|---|---|---|
| Where does governance sit? | "Compliance documents at the end of the project." | In the build spec. DPIA, data flows and clinical safety documentation are deliverables, drafted before code. |
| Where does patient data go? | "To our cloud." Details on request, eventually. | It stays in your controlled environment — UK-hosted or on-premise, never training public models. Mapped in writing. |
| Is this a medical device? | A blank look, or "that's your problem." | Assessed against the MHRA boundary during scoping — with the workflow designed to stay the right side of it. |
| What do clinicians see first? | A polished demo on invented data. | A sandboxed pilot on representative data, measured against your baseline — sceptics invited first. |
| What happens after go-live? | An invoice, then silence. | Monitoring, staff training, a usage policy, and an evidence pack your auditors can open. |
Why healthcare trusts us with AI
We design for the approval process, because we've been through it.
- Patient data stays in your controlled environment — UK-hosted or on-premise, never training public models
- DPIA, data-flow maps and clinical safety documentation delivered with every build
- Human-in-the-loop at every clinically meaningful decision point
- MHRA boundary assessed before a line of code is written
What ships with every healthcare build
- Data Protection Impact Assessment (DPIA)
- Included
- Data-flow & hosting documentation
- Included
- Clinical safety documentation (DCB-aligned)
- Included
- MHRA / medical-device boundary assessment
- Included
- Staff usage policy & training materials
- Included
Who we work with
Built for every corner of UK healthcare
NHS Organisations
Private Providers
Healthtech Companies
Care Providers
Start without a meeting
Three free tools healthcare teams use first
- Free Tool
Al Readiness Assessment - Healthcare Edition
- Free Tool
EU AI Act Risk Checker
- Free Tool
Al Usage Policy Generator
Healthcare AI, honestly answered
Frequently asked questions
Yes, with the right safeguards: a lawful basis, a completed DPIA, data minimisation, and deployment models that keep patient data inside your controlled environment — UK-hosted or on-premise, never used to train public models. We design around these constraints from day one and deliver the DPIA and data-flow documentation with every build.
No. Patient-facing chatbots we build handle administrative and signposting tasks — appointments, preparation instructions, service navigation, FAQs — with clear boundaries and escalation to clinical staff. Anything that could constitute clinical decision-making stays with clinicians or goes through a proper clinical safety process.
When software is intended for a medical purpose — diagnosis, treatment decisions, monitoring — it may qualify as software as a medical device (SaMD) and fall under MHRA regulation. Administrative AI (documentation, scheduling, coding support with human review) generally does not. We map every use case against this boundary during scoping, and design workflows to stay on the right side of it — or prepare you for the regulatory pathway if crossing it is the point.
If your organisation serves EU patients or supplies EU markets, yes — and AI used as a medical device or affecting access to care is high-risk under the Act, carrying the heaviest obligations. Even UK-only providers should note that NHS and CQC expectations increasingly mirror the Act's requirements. Our governance practice classifies your systems and builds the evidence pack.
Start with administrative burden, not clinical decisions: documentation, referrals, discharge summaries, appointment management, coding support. The ROI is fast, the clinical risk is low, and staff feel the benefit immediately — which builds the trust you need for more ambitious use cases later. A readiness assessment identifies your highest-value, lowest-risk starting point.
Administrative automations typically start around £5k–£15k; documentation assistants and patient-facing chatbots £10k–£30k depending on integrations and governance requirements; larger programmes are scoped individually. Every engagement is fixed-price after a free scoping call, and includes the DPIA and governance documentation in the quote.