For private GP, dental and specialist clinics using AI with patient data
Your clinic is already using AI.Could you prove it is under control?
Founder-delivered by Faisal Ali, CISM, CRISC. Advisory AI governance for UK private healthcare, source-mapped to relevant regulatory and professional guidance.
ELSA AI helps clinics discover what AI tools are already in use, where patient data may be involved, what evidence is missing, and what to do in the next 30 days.
Starting point: Clinical AI Exposure Diagnostic™
4 working days from completed intake · Fixed fee £4,500–£6,500 + VAT
A Royal College of Physicians snapshot survey, January 2026, found that 69% of 305 UK physician respondents used personal access to AI tools such as ChatGPT and Microsoft Copilot for clinical questions.
Common triggers
Advisory governance support only. Not legal advice, CQC certification, ICO approval, insurer coverage advice, MDO indemnity advice or clinical safety case sign-off. Final decisions remain with the clinic's accountable officers and advisers.
Built for private healthcare providers using AI with patient data
ELSA AI works with four clinic types where AI exposure is real, regulated and already in motion.
Private GP and GP-led clinics
CQC-regulated · 20–150 staff · Primary target audience
CQC GP Mythbuster 109 sets clear AI governance expectations. Most private GP clinics are using ChatGPT, Copilot or admin AI without a documented inspection-ready position.
Clinics using ambient scribes
Pre-rollout or post-go-live · Highest evidence demand
Ambient scribes process consultation audio and special category data. NHS England guidance sets the governance benchmark, even for private settings. DPIA and patient transparency are typically required.
Dental practices and groups
CQC-regulated · Multi-site or single · Imaging and notes
MDDUS has published an AI checklist for dental practitioners. Imaging AI, note generation and patient-communication automation create vendor evidence and DPIA gaps that the CQC and indemnity providers can ask about.
Doctor-led specialist clinics
Dermatology · Aesthetics · Diagnostics · Fertility · Ophthalmology
Specialist clinics handle patient images, consultation notes and special category data. AI in clinical workflows raises DPIA, vendor evidence, MHRA medical-device classification and patient transparency questions.
Who this is for
ELSA AI is designed for CQC-regulated private GP, dental and specialist clinics where AI is already being used with patient data – for example ambient scribes, ChatGPT, Copilot, imaging AI or supplier platforms.
It is a good fit where there is at least a small clinical team, formal CQC registration and DPO/board interest in AI governance. Very small, single-handed practices using only basic office automation may be better served by simple policy templates rather than a full Diagnostic.
A practical AI governance pathway for private healthcare
Three sequential steps. Establish your position, embed a baseline, keep evidence current.
Step 1 · Establish
Clinical AI Exposure Diagnostic™
4 working days · £4,500–£6,500 + VAT
In four working days you will know what AI is in use, what patient data it touches, what evidence is missing, and which actions to take in the next 30 days.
You receive
- Board Findings Report
- One-page RAG Exposure Map
- AI Tool and Use-Case Inventory
- DPIA Readiness and Patient Data Note
- Vendor Evidence Tracker
- MDO and Insurer Disclosure Note
- 30-Day Priority Action Plan
Step 2 · Embed
Clinical AI Safe Usage Launchpad™
4 to 6 weeks · £14,500–£22,000 + VAT
Convert Diagnostic findings into a board-approved AI governance baseline your accountable officers can review, own and operate.
You receive
- AI Usage Policy
- AI Tool and Risk Registers
- DPIA Readiness Workpack for DPO sign-off
- Approved / Conditional / Prohibited Use Matrix
- Patient Transparency Wording
- Staff Guidance and Incident Process
- Inspection-Ready Evidence Pack
Step 3 · Maintain
AI Exposure Sentinel™
Quarterly retainer · £950/month or £10,500/year + VAT
Keep your governance evidence pack current and defensible as tools, vendor terms, staff usage, insurer questions and regulatory expectations change.
You receive
- Quarterly reassessment of up to 7 AI tools
- Refreshed RAG Exposure Map
- Updated Tool and Risk Registers
- 2 hours / month senior advisory access
- AI incident triage support
- Annual MDO and insurer renewal review
- Annual board AI risk briefing
How the Diagnostic works
Four working days, three structured steps
A focused assessment that maps what AI is in use, where patient data may be involved, what evidence is missing, and what to prioritise in the next 30 days.
Day 1 · Discover
Surface declared and shadow AI use
Establish what AI tools are in use across the clinic, including informal staff use that leadership may not be aware of.
Activities
- Leadership intake interview and evidence request
- Confidential, role-level staff AI use survey
- Review of known tools, trials and supplier platforms
- Initial shadow AI and patient data exposure mapping
Days 2–3 · Assess
Map governance evidence and gaps
Test what governance evidence exists for each AI tool against published regulatory expectations, and identify the gaps that need DPO, board or insurer review.
Activities
- AI tool and use-case inventory
- DPIA readiness and patient data exposure review
- Vendor data position and evidence tracker
- Ambient scribe assessment, where applicable
- Human oversight and patient transparency review
Day 4 · Deliver
Board-ready findings and 30-day plan
Consolidate findings into a board-readable evidence pack with priority actions, source mapping and a clear next-step pathway.
You receive
- Board Findings Report in plain English
- One-page RAG Exposure Map
- 30-Day Priority Action Plan
- Source and Guidance Mapping Appendix
- 60-minute board or partner readout
Ready to see this for your clinic?
Start with a 20-minute discovery call. Direct with Faisal Ali. No commitment required.
Why private clinics engage ELSA AI
Four reasons clinics call. One starting position.
The Diagnostic does not claim to fix every AI risk in four working days. It gives leadership a documented starting position: what AI is in use, what data it touches, what evidence is missing, and what to do next.
Example outcomes
What clinics do with the Diagnostic findings
Illustrative scenarios based on typical clinic profiles, not specific clients.
Executive Health Clinic · 6 consultants
Identified 24 AI tools in use, 8 previously unknown to leadership. Prioritised 10 DPIAs and rewrote patient transparency wording within two weeks of Diagnostic delivery.
Specialist Dermatology Clinic
Preparing for ambient scribe rollout. Structured supplier evidence, produced DCB0160-style documentation and created a human-oversight workflow before the first CQC visit after go-live.
Multi-Site Dental Group
Reduced unmanaged shadow AI use by moving staff from personal ChatGPT accounts onto an approved, governed pattern with clear approved, conditional and prohibited-use guidance.
Founder and Principal Consultant, ELSA AI
Senior-led AI governance for regulated healthcare
Every ELSA AI engagement is delivered personally by Faisal Ali, CISM, CRISC - Founder and Principal Consultant. There is no junior delegation, no offshore delivery team and no template-and-invoice model.
Faisal is a senior cybersecurity, information risk and AI governance specialist with more than two decades of experience in regulated environments. His work is grounded in practical evidence: what controls exist today, where the gaps are, who owns the risk and what decision-makers need to see before they can act.
ELSA AI was built for organisations deploying third-party AI tools - not building models from scratch. The focus is on helping private clinics move from informal or unmanaged AI use to a documented governance position that can be read and challenged by the DPO, clinical lead, board, insurer, MDO and relevant advisers.
What this brings to a clinic
- Healthcare AI governance without unnecessary enterprise complexity.
- Inspection-ready evidence packs rather than abstract AI ethics documents.
- Cybersecurity and data protection discipline applied to real clinic workflows.
- Plain-English reports written for owners, partners, boards and clinical leads.
- Advisory boundaries that keep final sign-off with the clinic's accountable officers.
What ELSA AI does · and does not
Clear scope. Clear accountability.
ELSA AI provides advisory governance support. Final decisions on legal interpretation, clinical safety sign-off, MDO disclosure, insurer notification and risk acceptance remain with your accountable officers and advisers. The boundary is deliberate, and it is what makes the evidence we produce defensible when those officers review it.
Legal and regulatory scope
ELSA AI does
Map findings to ICO, CQC, NHS England and MHRA published guidance, structured for review and adoption by your DPO and legal counsel.
ELSA AI does not
Provide legal advice, ICO approval, CQC certification or formal regulatory compliance certification. No third-party consultancy can grant these.
Clinical safety scope
ELSA AI does
Structure DCB0160-style evidence and identify clinical safety review points so your CSO or external safety adviser can review and adopt the position.
ELSA AI does not
Act as Clinical Safety Officer, sign clinical safety cases or sign off DCB0160 documentation. That responsibility stays with your appointed CSO.
Insurer, MDO and PMI scope
ELSA AI does
Identify governance evidence gaps and produce disclosure-readiness templates the clinic can use when engaging its insurer, MDO or PMI provider directly.
ELSA AI does not
Provide insurer coverage advice or MDO indemnity advice. We do not predict whether an insurer will pay a claim or how indemnity may be affected.
Why this matters. The most defensible governance evidence is produced by an adviser who knows exactly where their work ends, and structures the output for the responsible officer who owns the next decision.
Ready when you are
The starting point is a 20-minute conversation.
We will confirm whether the Clinical AI Exposure Diagnostic™ is the right fit for your clinic, what tools and workflows should be in scope, and whether there is a time-sensitive trigger such as an ambient scribe rollout, DPO review, insurer renewal, MDO question, board meeting or CQC inspection.
20 minutes
Direct with Faisal Ali
No commitment required
Confidential · No obligation · Senior-led from the first call
Advisory governance support only. Not legal advice, regulatory approval, CQC certification, insurer coverage advice, MDO indemnity advice or clinical safety case sign-off. Where needed, evidence is structured for adoption and sign-off by the clinic's own legal advisers, clinical safety officers and indemnity providers.