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Annex IV Interrogation Pack for Medical-Device SMEs Buying AI Components

graduated [TRIANGULATED] filter 10.0/15 spread ±1.5 signals: 3 independent
What is this?
A subscription challenge-pack product for quality and regulatory leads at small UK/EU medical-device manufacturers integrating AI/ML components from external suppliers. Each pack maps to EU AI Act Articles 9-15 (risk management, data governance, robustness) and produces a structured set of notified-body-style probes the buyer puts to the vendor before signing a component contract. The buyer pastes the vendor's attestation snippets into the pack manually; AE returns a structured evidence-gap response plus a classification of the vendor's rhetorical pattern under AE's 6-pattern autopsy taxonomy — concession laundering, epistemological shielding, premise-conclusion severing — none of which generic AI Act tooling detects. With the Omnibus trilogue collapsed and Aug 2 2026 high-risk obligations now legally binding, medical-device SMEs that integrate a non-conformant AI component face full re-conformity + €35M penalty exposure. AE's adversarial multi-model debate is uniquely suited to generating the probes; AE's autopsy taxonomy is uniquely suited to naming the evasive patterns vendors deploy under regulatory pressure.
Why did we consider it?
AE's adversarial debate and rhetorical-pattern autopsy give medical-device SME buyers a uniquely defensible way to interrogate AI vendor attestations under the post-Aug-2026 MDR + AI Act liability regime.
What breaks?
  • Notified Bodies require standardized technical documentation (MDR Annex II, IEC 62304), not rhetorical analysis of vendor attestations.
  • Manual copy-pasting of vendor snippets creates unacceptable workflow friction and data governance risks for time-poor Q&RA leads.
  • A solo, evening/weekend founder will fail the mandatory ISO 13485 supplier qualification audits required by MedTech SMEs.
What did we learn?
Engine verdict: GATHER_MORE_SIGNAL (WORTH_SKIMMING). Real regulatory pain, real differentiation — but buyer leverage, ICP coherence, and domain-transfer of AE's taxonomy are all unverified.

Filter scores

Five axes, each scored 0-3. Three independent runs by different model perspectives. Median shown.

AxisWhat it measures
data moatDoes this product accumulate proprietary data that compounds?
10x model testDoes a better model make this more valuable, or redundant?
fast feedback loopsCan outputs be graded against reality in <30 days?
solo founder feasibleCan a solo operator build and run this without a team?
AI providers cant eat itDo hyperscalers have structural reasons NOT to build this?
Composite median: 10.0 / 15. Graduation threshold: 9.0. IQR across runs: 1.5.

Evidence

Signal A — Primary source

(b)how the AI system interacts with, or can be used to interact with, hardware or software, including with other AI systems, that are not part of the AI ...

Signal B — Competitor with documented gap

aiactgap.com provides Annex IV technical-file guidance aimed at providers preparing their own documentation ('providers of high-risk AI systems must prepare before placing their system on the EU market'). It is provider-side compliance tooling, not buyer-side vendor interrogation. No adversarial probe generation, no vendor attestation analysis, no rhetorical-evasion pattern detection — the three differentiators AE's hypothesis centres on.

Signal D — Demand proxy

{"found":true,"summary":"Multiple practitioner-authored articles on Medium and LinkedIn, plus specialist compliance blogs, show active demand for actionable Annex IV / AI Act guidance specific to AI-enabled medical devices, with repeated emphasis on the Aug 2026 high-risk deadline creating urgency for SMEs integrating third-party AI components.","sources":["https://medium.com/@xsankalp13/annex-iv-demystified-a-ctos-practical-guide-to-the-ai-technical-file-a81603923731","https://mdxcro.com/eu-ai-act-medical-devices-samd/","https://www.linkedin.com/pulse/eu-ai-act-technical-documentation-ai-enab…

Evaluation history

WhenStagePhase
2026-05-13 04:02deep_council_verdictgraduated
2026-05-13 04:01deep_claude_takegraduated
2026-05-13 03:59deep_90day_plangraduated
2026-05-13 03:58deep_riskgraduated
2026-05-13 03:56deep_distributiongraduated
2026-05-13 03:55deep_pricinggraduated
2026-05-13 03:54deep_moatgraduated
2026-05-13 03:53deep_buyer_simgraduated
2026-05-13 03:51deep_icpgraduated
2026-05-13 03:50deep_competitorgraduated
2026-05-13 03:48deep_market_realitygraduated
2026-05-13 03:42filter_scorescored
2026-05-13 03:36filter_scorescored
2026-05-13 03:30filter_scorescored
2026-05-13 03:25evidence_searchargument
2026-05-13 00:36evidence_searchargument
2026-05-12 22:42evidence_searchargument
2026-05-12 20:54evidence_searchargument
2026-05-12 19:00evidence_searchargument
2026-05-12 17:06evidence_searchargument
2026-05-12 15:18evidence_searchargument
2026-05-12 13:30evidence_searchargument
2026-05-12 11:42evidence_searchargument
2026-05-12 09:54evidence_searchargument
2026-05-12 08:12evidence_searchargument
2026-05-12 06:24evidence_searchargument
2026-05-12 04:36evidence_searchargument
2026-05-12 04:12evidence_searchargument
2026-05-12 01:48evidence_searchargument
2026-05-11 23:48evidence_searchargument
2026-05-11 23:36evidence_searchargument
2026-05-11 23:24evidence_searchargument
2026-05-11 23:12evidence_searchargument
2026-05-11 23:00evidence_searchargument
2026-05-11 22:48evidence_searchargument
2026-05-11 22:36evidence_searchargument
2026-05-11 22:18evidence_searchargument
2026-05-11 22:06evidence_searchargument
2026-05-11 21:54evidence_searchargument
2026-05-11 21:06evidence_searchargument
2026-05-11 21:00evidence_searchargument
2026-05-11 20:54audience_simulationargument
2026-05-11 20:48red_team_killargument
2026-05-11 20:42steelmanargument
2026-05-11 20:38genesisargument