01
Discover
Find declared and shadow AI use across clinical, admin, marketing and operational workflows.
AI governance for private GP, dental and specialist clinics using AI with patient data
Your clinic may already be using AI. Could you prove it is under control?
Private GP clinics, dental practices and specialist clinics are using ambient scribes, AI assistants such as ChatGPT, Microsoft Copilot, Claude and Google Gemini, transcription tools and AI‑enabled platforms to improve speed, documentation and patient experience.
But the governance question is now unavoidable: can the clinic show what AI tools are in use, where patient data may be involved, what controls exist, what evidence is missing and who is accountable for the next decision?
ELSA AI helps private healthcare clinics move from informal or fragmented AI use to a documented governance position:
Discover → Evidence → Decide → Govern → Maintain
Starting point: Clinical AI Exposure Diagnostic™
4 working days from completed intake · Fixed fee £4,500–£6,500 + VAT
Founder-delivered by Faisal Ali, CISM, CRISC. Applying more than two decades of cybersecurity, information risk and governance experience to AI use, patient-data exposure and control evidence in private healthcare.
ELSA AI provides AI governance advisory and evidence-support services. This is 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 appointed advisers.
Discover → Evidence → Decide → Govern → Maintain
Premium care now uses AI. Well-led clinics need evidence.
Private healthcare patients expect high standards of care, discretion, professionalism and accountability. As clinics adopt AI tools for documentation, communication and operations, their governance position needs to match the standard of service they deliver.
The issue is not whether AI is useful. The issue is whether the clinic can show what AI is being used, who owns it, where patient data may be involved, what controls exist, what evidence is available and what decisions have been made.
AI adoption may improve speed and service quality. Evidence is what shows AI use is understood, controlled and accountable.
02
Evidence
Map patient-data exposure, DPIA readiness, vendor evidence, patient transparency, human oversight and disclosure-readiness indicators.
03
Decide
Help leadership classify AI use as approved, conditional, restricted, prohibited or requiring DPO, legal or clinical review.
04
Govern
Convert findings into policy, register, risk register, staff guidance, patient wording, incident route and board evidence.
05
Maintain
Keep the evidence current as tools, staff use, vendor terms, insurer questions and regulatory expectations change.
Founder-delivered AI governance, not a platform subscription.
Led by Faisal Ali, CISM, CRISC, Founder and Principal Consultant of ELSA AI, with more than two decades of experience across cybersecurity, information risk and AI governance in regulated environments.
- Private healthcare AI deployer focus
- Source-mapped governance evidence
- Board, DPO, insurer, MDO and clinical leadership ready outputs
- Advisory boundaries clearly defined
COMMON TRIGGERS
When AI governance evidence is needed quickly
Private clinics usually engage ELSA AI when a formal question is approaching, or when leadership realises AI use has already moved faster than governance evidence. These are the common moments where a documented position is needed.
Trigger
Ambient scribe rollout
Before consultation audio, transcription or AI-generated notes become routine.
ELSA AI checks whether supplier evidence, patient transparency, DPIA readiness, human review and clinical safety evidence structure are in place before the scribe becomes an unmanaged exposure.
Prepare before rollout
Trigger
CQC inspection approaching
When the clinic needs to show how AI use is governed, monitored and controlled.
ELSA AI helps produce a clear evidence position across AI tools, patient data exposure, human oversight, vendor evidence, incident routes and board-level accountability.
Prepare inspection evidence
Trigger
DPO requesting AI evidence
When data protection questions need more than verbal reassurance.
ELSA AI identifies what AI tools are in use, what patient data may be involved, whether DPIA screening exists, what vendor evidence is missing and where DPO/legal review is required.
Map the evidence gap
Trigger
Insurer or PMI renewal questionnaire
When renewal questions start touching on AI use, patient data, DPIA status or clinical risk management.
ELSA AI prepares an advisory disclosure-readiness view showing what is known, what is uncertain, and what evidence should be reviewed before the clinic responds.
Check renewal evidence
Trigger
MDO query about AI use
When a clinician or clinic may need to explain how AI was used, reviewed, documented and controlled.
ELSA AI helps organise the evidence around AI tool use, human review, patient data exposure, staff guidance, incident routes and disclosure-readiness for review with the clinic’s advisers or MDO.
Prepare the evidence position
Trigger
Board AI review
When leadership needs a plain-English view before approving, restricting or expanding AI use.
ELSA AI gives the board a structured position: what AI is being used, who owns it, what data it touches, what controls exist, what evidence is missing and what actions should come first.
Give the board a clear position
Diagnostic scope
What the Diagnostic reviews
AI Tool Discovery
Identifies declared and informal AI tools across clinical, administrative and supplier-supported workflows.
Patient Data Exposure
Maps where patient identifiers, consultation content, audio, notes, images or health data may be processed.
DPIA & Privacy Evidence
Checks DPIA readiness, privacy evidence, patient transparency and where DPO/legal review may be required.
Vendor Evidence
Reviews whether supplier documentation, data terms, hosting, retention and confirmation evidence are available.
Clinical Oversight
Assesses human review, clinical ownership, staff guidance, incident routes and clinical safety evidence structure.
Board-Ready Evidence Pack
Turns findings into a clear evidence pack with priority actions for accountable officers and advisers.
One Diagnostic. Six common reasons to start.
The Clinical AI Exposure Diagnostic™ gives clinic leadership a board-ready view of AI use, patient-data exposure, evidence gaps and priority actions in four working days from completed intake.
Fixed fee £4,500 to £6,500 + VAT.
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 private healthcare clinics where AI adoption, patient expectations and governance evidence now meet.
These clinics are often investing in AI to improve consultation quality, documentation, communication and operational efficiency. ELSA AI helps ensure the governance evidence keeps pace.
Private GP and GP-led clinics
CQC-regulated · Primary segment
For private GP, executive health and GP-led clinics where access, trust, discretion and quality are part of the premium operating standard, and AI evidence now needs to keep pace.
Clinics using ambient scribes
Pre-rollout or live · High urgency
For clinics using or evaluating ambient scribes and AI note tools to improve consultation flow, while keeping patient transparency, vendor evidence and clinical ownership documented.
Dental practices and groups
Single-site or group
For dental practices and groups using AI imaging, note drafting, transcription, patient communications or office AI where patient expectations, practice reputation and evidence quality matter.
Doctor-led specialist clinics
Dermatology · Aesthetics · Diagnostics · Fertility · Ophthalmology
For doctor-led specialist clinics using AI with patient images, consultation notes, correspondence or clinical workflows where premium care needs clear governance evidence.
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.
How the Clinical AI Exposure Diagnostic™ works
A focused 4-working-day assessment showing what AI is being used, where patient data may be involved, what evidence is missing and what should be prioritised next.
Step 1
Day 1
Discover AI use
Leadership intake, evidence request, confidential role-level staff survey and initial shadow AI mapping.
Step 2
Days 2–3
Assess governance evidence
Review AI tool inventory, patient-data exposure, DPIA readiness, vendor evidence, ambient scribes where applicable, human oversight and disclosure-readiness indicators.
Step 3
Day 4
Deliver board-ready actions
Board Findings Report, RAG Exposure Map, 30-Day Priority Action Plan and source-mapped evidence appendix.
What you receive in the 4-day Diagnostic
A board-ready evidence pack showing what AI is in use, what patient data may be involved, what evidence exists, what is missing and what should happen next.
Board and leadership view
- Board Findings Report
- One-page RAG Exposure Map
- 30-Day Priority Action Plan
DPO and clinical governance evidence
- AI Tool and Use Case Inventory
- DPIA Readiness and Patient Data Exposure Note
- Vendor Data Position and Evidence Tracker
- Ambient Scribe Assessment Sheet, where applicable
External review readiness
- MDO, PMI and Insurer Disclosure Readiness Note
- Source and Guidance Mapping Appendix
Evidence & guides
Evidence clinics are starting to need
AI governance pressure usually arrives as a request for evidence: from the DPO, board, insurer, MDO, CQC inspector, clinical lead or patient. These guides explain what private clinics may need to have ready before AI use becomes difficult to explain.
AI Evidence Pack Checklist for Private Clinics
A practical checklist of the board, DPO, vendor, patient transparency, ambient scribe, insurer and incident evidence a clinic may need when AI touches patient data.
View checklist →Ambient Scribe Pre-Go-Live Checklist
A focused guide for clinics using or planning Heidi, Tortus, Accurx Scribe, Dragon DAX, Tandem, Nabla, Otter or similar tools.
Review scribe checklist →DPO Evidence Request Guide
What a DPO may ask for when AI tools process patient data, including DPIA indicators, vendor evidence, privacy notices and Records of Processing Activities.
Read the DPO guide →View all Evidence & Guides →
Advisory governance support only. These guides are not legal advice, DPIA sign-off, CQC certification, ICO approval, insurer coverage advice, MDO indemnity advice or clinical safety case sign-off.
What clinics do with the Diagnostic findings
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 patient data may be involved, what evidence is missing and what should be prioritised next.
Example outcomes
Illustrative scenarios based on typical clinic profiles, not specific clients.
Executive health clinic
From unknown AI use to a board-readable exposure map
A GP-led executive health clinic identifies declared and informal AI use across clinical, admin and support teams. Leadership receives an AI Tool and Use-Case Inventory, RAG Exposure Map and 30-Day Priority Action Plan showing which tools need DPO review, vendor evidence or staff guidance first.
Specialist dermatology clinic
Preparing for ambient scribe rollout
A doctor-led specialist clinic preparing to use an ambient scribe receives a structured view of DPIA readiness, vendor evidence gaps, patient transparency wording needs, human-review workflow and clinical safety ownership points for review by its DPO, clinical lead and accountable officers.
Multi-site dental group
Moving from shadow AI to approved-use guidance
A dental group finds staff using personal AI tools for drafting, notes and admin support. The Diagnostic helps leadership distinguish approved, conditional and prohibited use, identify patient-data exposure risks and prioritise staff guidance, vendor evidence and DPO review actions.
Each scenario leads to the same starting point: a documented AI governance position the clinic can review, own and act on.
From first evidence pack to premium AI governance
ELSA AI starts by establishing the current position, then helps clinics convert that position into a governance baseline and keep it current.
From informal AI use to a documented governance position. From shadow AI to board evidence.
Discover + Evidence
Starting point
Clinical AI Exposure Diagnostic™
4 working days£4,500 to £6,500 + VAT
Identify what AI is in use, where patient data may be involved, what evidence is missing and what actions should be prioritised in the next 30 days.
Decide + Govern
Clinical AI Safe Usage Launchpad™
4 to 6 weeks£14,500 to £22,000 + VAT
Convert Diagnostic findings into a documented governance baseline for leadership review: policy, register, risk register, DPIA readiness pack, vendor evidence, patient transparency, staff guidance, incident process and board evidence pack.
Maintain
AI Exposure Sentinel™
Quarterly retainer£950/month or £10,500/year + VAT
Keep AI governance evidence current as tools, staff use, vendor terms, insurer questions and regulatory expectations change.
Next step
A 20-minute call with Faisal Ali to assess whether your clinic needs a documented AI governance position and whether the Clinical AI Exposure Diagnostic™ is the right starting point.
Faisal Ali, CISM, CRISC
Founder and Principal Consultant, ELSA AI
Senior AI governance support, delivered directly.
ELSA AI is not a platform subscription or template pack. It is founder-delivered advisory support for private healthcare clinics that need to evidence how AI use is understood, controlled and accountable.
Led by Faisal Ali, Founder and Principal Consultant of ELSA AI, with CISM and CRISC certifications and more than two decades of experience across cybersecurity, information risk and governance in regulated environments.
Proof points
- Private healthcare AI deployer focus
- Source-mapped governance evidence
- Board, DPO, insurer, MDO and clinical leadership-ready outputs
- Advisory boundaries clearly defined
Clear advisory boundaries
What ELSA AI does
- Identifies AI tools and use cases
- Maps patient-data exposure
- Identifies advisory risk indicators and evidence gaps
- Structures board, DPO, vendor and disclosure-readiness evidence
- Produces practical 30-day actions
What ELSA AI does not do
- No legal advice
- No CQC certification
- No ICO approval
- No insurer coverage advice
- No MDO indemnity advice
- No clinical safety case sign-off
- No DCB0160 sign-off
Who owns final decisions
- Clinic board, partners or directors
- DPO and legal adviser
- Clinical Safety Officer or clinical lead
- Insurer, PMI or MDO
- Accountable officers and advisers
ELSA AI structures evidence so the clinic's own accountable officers and advisers can review, adopt and own the final position.
FAQ
Questions before you scope the Diagnostic?
The FAQ explains service fit, pricing, timelines, advisory boundaries and how ELSA AI structures evidence for review by the clinic's accountable officers and advisers.
Ready when you are
The starting point is a confidential AI Exposure Discovery Call.
A 20-minute call with Faisal Ali to assess whether your clinic needs a documented AI governance position and whether the Clinical AI Exposure Diagnostic™ is the right starting point.
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.