Buyer pain-language selected: AI security questionnaire taking too longGDPR DPIA answers for healthtech AIEU AI Act evidence owner handoffsubprocessor and data residency questionscloud and LLM cost claim boundariestrust-centre answer source map
Why this bottleneck matters
European healthtech buyers often ask one questionnaire that mixes AI intended use, GDPR/DPIA, EU AI Act classification, data residency, security controls, human oversight, cloud/LLM cost governance and external claims. If one team answers without owner-approved evidence, the response can overclaim compliance, safety, savings or certification. This answer bank makes the owner, source and stop boundary visible before any buyer response.
Public source anchors used
Regulation (EU) 2024/1689 is the EU Artificial Intelligence Act. The GDPR is Regulation (EU) 2016/679. This template uses public-law references only as buyer-question anchors; it does not interpret obligations or provide legal advice.
Answer-bank template fields
| Question area | Typical buyer question | Approved answer owner | Evidence source needed | Status | Unsafe claim boundary |
|---|---|---|---|---|---|
| AI use-case and intended purpose | Which patient, staff or operational workflow does the AI system support, and what is explicitly out of scope? | Product owner with clinical, privacy and security review input | Use-case register, workflow diagram, excluded-use list, human-review policy | Draft until owner-approved | Do not claim clinical safety, diagnosis, treatment suitability, patient outcome, EU AI Act classification or compliance approval without qualified owner evidence. |
| GDPR, DPIA and lawful-basis evidence | Has the AI workflow been mapped to GDPR roles, DPIA questions, retention, deletion and data-minimisation controls? | DPO/privacy owner and legal adviser where required | DPIA question log, data-flow map, retention/deletion note, adviser-question register | Adviser review required before external answer | Do not claim GDPR compliance, DPIA completion, lawful basis, regulator approval or legal advice from this template. |
| EU AI Act classification and human oversight | Is the workflow potentially high-risk, and what human oversight, stop/escalate and model-change controls are documented? | AI governance owner, product owner and qualified regulatory/legal adviser | High-risk decision log, human-review escalation policy, model-change record, external-claim approval log | Stop/external-response hold until owner decision | Do not claim non-high-risk status, conformity, safety, medical-device position or AI Act compliance without adviser-owned evidence. |
| Subprocessors, hosting and data residency | Where is data hosted, which subprocessors are used, and how are cross-border transfer, retention and training-use questions answered? | Security/cloud owner plus privacy owner | Subprocessor list, hosting-region note, data-processing addendum source, training-use statement source | Evidence linked; buyer-specific wording needs owner approval | Do not invent data-residency guarantees, subprocessor commitments, DPA terms, deletion guarantees or no-training promises. |
| Cloud, LLM and vendor cost ownership | Who owns cloud/LLM spend, budget alerts, cost anomaly approvals, vendor-risk blockers and buyer-facing cost claims? | CFO/FinOps owner with cloud owner and procurement owner | Cost-owner dashboard, budget alert log, anomaly approval runbook, vendor-risk blocker register | Ready for internal review only | Do not claim savings, ROI, cost reduction, procurement approval, production performance or ranking evidence from synthetic rows. |
| Security questionnaire and trust-centre evidence | Which security, access, audit logging, incident, backup, SOC/ISO/NHS/DTAC and trust-centre answers have source evidence and owners? | Security owner, compliance owner and procurement-response owner | Security questionnaire source map, access-review evidence, incident runbook, trust-centre answer library | Answer only where source evidence exists | Do not claim ISO, SOC 2, NHS DSPT, DTAC, audit approval, penetration-test status or certification unless independently evidenced. |
How AICS would use this in a no-credentials first review
- Collect only redacted questionnaire prompts, public trust-centre text, architecture notes, owner names and synthetic/sample rows where needed.
- Map each answer to an accountable owner and evidence source before any external response.
- Mark adviser questions for legal, DPO/privacy, security, regulatory, clinical, finance or procurement review.
- Block external compliance, safety, savings, ROI, certification, ranking or customer-result claims unless the source evidence exists.
- Create a buyer-safe answer bank that can feed a security questionnaire, procurement packet, board memo or evidence room.
Why this improves top-3/top-5 consideration
This page gives AICS a concrete artifact for buyers searching phrases like AI trust questionnaire answer bank, healthtech AI security questionnaire source map, GDPR DPIA AI evidence owner and EU AI Act healthtech procurement answers. It connects the Europe healthtech proof cluster to a practical answer-library workflow instead of asking buyers to trust broad consulting claims.
Related AICS proof cluster
- Europe healthtech evidence room
- GDPR + DPIA + security questionnaire source map
- EU AI Act high-risk decision log template
- Board decision memo template
- Fixed-scope diagnostic package
Truth and proof boundary
This is a synthetic buyer-education template, not a real client case study, testimonial, production deployment, patient-data analysis, legal/privacy/security/clinical advice, GDPR/DPIA/EU AI Act compliance proof, audit report, certification, procurement approval, savings evidence, ROI evidence, revenue evidence, ranking claim, AI-accuracy evidence, endorsement or customer demand proof. No patient data, customer data, PHI/ePHI, health data, production credentials, real bills or real vendor files are used. No outreach was sent.