Specialist AI governance consultancy
About ELSA AI
AI governance for private healthcare providers using AI with patient data
Most private clinics are already using more AI than their governance records show.
Ambient scribes in consultations. ChatGPT and Microsoft Copilot on the admin desk. Transcription tools, patient communication systems, supplier workflows, and staff reaching for whatever helps them get through the day.
The risk is rarely the technology itself. The risk is the gap between what is being used with patient data and what the clinic can actually evidence when a DPO, insurer, MDO, board member or CQC inspector asks.
ELSA AI is a specialist AI governance consultancy that helps clinics close that gap. We work with AI deployers, not AI product builders, and focus on one practical outcome: moving a clinic from informal or uncertain AI use to a documented, reviewable governance position its accountable officers can understand, challenge, own and act on.
Most clinics start with the Clinical AI Exposure Diagnostic™: a four-working-day assessment, from completed intake, that gives the clinic a documented view of what AI is in use, where patient data may be involved, what evidence is missing, and what should be prioritised next.
20-minute Discovery Call. No obligation.
Faisal Ali, CISM, CRISC, Founder and Principal Consultant at ELSA AI.
Founder-led advisory
Faisal Ali, CISM, CRISC
Founder and Principal Consultant, ELSA AI
ELSA AI was founded by Faisal Ali, CISM, CRISC, a senior cybersecurity, information risk and AI governance consultant with more than two decades of experience in regulated environments, including healthcare, financial services, the public sector, national infrastructure and enterprise technology.
That background is relevant because AI governance in private healthcare sits where information security, data protection, supplier assurance and clinical accountability meet.
The work is practical. It involves mapping AI use, identifying patient-data exposure indicators, reviewing vendor evidence, assessing DPIA readiness, checking whether staff use is approved or informal, and producing records that can support responsible review by the clinic’s DPO, Medical Director, board, legal advisers, clinical safety lead and indemnity providers where required.
Faisal has spent his career working in environments where weak evidence, unclear ownership and unmanaged technology risk can create regulatory, operational and reputational consequences. ELSA AI brings that same evidence-led risk discipline to private healthcare AI adoption.
Every ELSA AI engagement is delivered directly by Faisal. Clients work with the senior adviser doing the assessment, from intake through to board-ready findings. The model is deliberately focused, founder-led and practical, not a large enterprise governance programme that small and mid-sized clinics do not need.
ELSA AI is built for private healthcare providers that need to understand their AI exposure quickly, evidence their current position, and take proportionate action.
Private healthcare deployers
Built for private healthcare deployers
Private healthcare providers are adopting AI through ambient scribes, ChatGPT, Microsoft Copilot, transcription tools, AI-enabled admin platforms, patient communication systems and supplier workflows.
The governance question is not whether a clinic uses AI. It is whether the clinic can show:
- what AI tools are in use;
- whether use is approved, tolerated, shadow or unknown;
- whether patient data, consultation audio, clinical notes, images or correspondence may be involved;
- what controls and evidence exist;
- where the evidence gaps are;
- who is accountable for decisions, records and oversight.
ELSA AI helps clinics produce that documented position in a form their board, DPO, Medical Director and clinical leadership can review and stand behind.
Evidence scope
What ELSA AI helps clinics evidence
ELSA AI helps private healthcare providers assess and document:
- AI tools and use cases across clinical, administrative and operational workflows;
- whether and where patient data or special category data may be involved;
- whether AI use is approved, tolerated, shadow or unknown;
- DPIA readiness and patient transparency evidence gaps;
- vendor evidence, including data residency, retention, model training and sub-processor positions;
- ambient scribe governance evidence where relevant;
- human review and accountability expectations;
- board, DPO, CQC, insurer and MDO disclosure readiness.
The output is not a certification or an approval. It is a structured evidence position that the clinic can review, own and act on.
Advisory boundaries
Advisory boundaries
ELSA AI provides advisory governance support only.
It does not provide legal advice, CQC certification, ICO approval, insurer coverage advice, MDO indemnity advice or clinical safety sign-off.
ELSA AI structures evidence so it can be reviewed, adopted and signed off by the clinic’s accountable officers, DPO, legal advisers, Clinical Safety Officer, Medical Director and indemnity providers where required.
Final decisions remain with the clinic’s responsible officers.
Best fit
Who ELSA AI is best suited for
ELSA AI works with:
- CQC-regulated private GP and GP-led multidisciplinary clinics;
- clinics using or planning ambient AI scribes;
- Private dental practices and dental groups;
- doctor-led dermatology, aesthetics and specialist clinics handling patient images and special category data;
- diagnostics, fertility, ophthalmology and other private specialist clinics;
- multi-site private healthcare groups that need a documented AI governance position.
Typical triggers include:
- a CQC inspection;
- a DPO evidence request;
- an ambient scribe rollout;
- an insurer renewal questionnaire;
- an MDO query;
- a board AI review;
- concern about unmanaged staff use of AI.
The 20-minute AI Exposure Discovery Call is a fit-and-scope conversation to confirm whether the Clinical AI Exposure Diagnostic™ is the right next step.
Next step
See Where Your Clinic Stands
The 20-minute AI Exposure Discovery Call is a fit-and-scope conversation to confirm whether the Clinical AI Exposure Diagnostic™ is the right next step.