Sample result
Sample Medical & Dental Ltd. · Structure started
Total 59/100. AI is already in use, but supplier documents, AI literacy, privacy evidence, AI-readable signals and evidence management need work.
59
AI inventory62
AI literacy35
Data & GDPR48
Suppliers42
Risk context45
Transparency70
Governance55
AI Visibility58
Mini AI inventory
| System | Purpose | Signal |
|---|---|---|
| AI documentation assistant | Drafting medical documentation | patient data, human control needed |
| Appointment chatbot | Patient communication | transparency and supplier review |
| Office AI | Summaries and texts | internal information, policy missing |
Warning signals
- Healthcare context: patient data and medical purposes require careful structure.
- AI literacy evidence is missing.
- Supplier information on training, storage and subprocessors is incomplete.
- AI Visibility should be tested live: llms.txt, JSON-LD, sitemap, legal notice and privacy.
Supplier questions light
- Are patient data or inputs used for training?
- Where are data stored and processed?
- Which model families or subprocessors are involved?
- Which security and privacy documents exist?
- Which EU AI Act-related information is available?
3-day plan
- Collect AI tools and data types.
- Clarify AI literacy, policy and responsibility.
- Send supplier questions and run AI Visibility Check.
Why this creates interest
The free snapshot shows enough to reveal real action needs. The Lite Version turns it into a structured starter dossier with PDF/DOCX, templates, sources, evidence matrix and 30/60/90-day plan.
See Lite Version →Generate your own free snapshot
The demo is deliberately extensive so organisations can see which systems, suppliers, data, evidence and AI visibility signals should be structured first.