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Per-claim provenance.","urls":{"read":"https://miscsubjects.com/api/articles/proven-work-clients-use-cases/voxels","write":"https://miscsubjects.com/api/protocol/claim"}}],"system_map":"https://miscsubjects.com/api/articles/system-map","system_map_markdown":"https://miscsubjects.com/api/articles/system-map?format=markdown","not_medical_advice":true},"_explain":{"feature":"topology","name":"Article topology","what":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER.","why":"Every feature is auditable collective intelligence","how":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER.","model":null,"verifies":null,"urls":{"read":"https://miscsubjects.com/api/articles/proven-work-clients-use-cases/topology"},"imessage":null,"router":null,"related":[{"id":"ask","what":"Answer only from topology; creates question_node with gaps and ingest_hint."},{"id":"graph_topology","what":"Merged claims/sources across condition+stack slugs for one question."},{"id":"question_graph","what":"Ask nodes (questions + gaps) and evidence_ingest nodes (pasted model output)."},{"id":"voxels","what":"Claims as atoms, sources as edges (supported_by, posted_by). Per-claim provenance."}],"not_medical_advice":true},"slug":"proven-work-clients-use-cases","title":"Who buys proof of AI work — six segments, the pain in their own words, and the smallest thing each can buy","register":"standard","tags":[],"updated_at":"2026-08-03T18:28:02.914Z","body_excerpt":"*This page is the market map for a specific new object — proof of AI-performed work. **Proven work** is a claim about completed AI work, bound to the complete record of the work's formation — every model and tool call preserved as a raw request-plus-response payload, hash-chained on a public ledger — with a standing door that lets any stranger inspect the record and test the claim, every inspection leaving its own receipt. (Canonical definition and standard: [[proven-work]]. The mechanics of wrapping one existing workflow, replacing nothing: the sibling page [[proven-work-wrap-one-workflow]].) Below: six buyer segments, the pain in each buyer's own words with sources that open, the money already moving, and the smallest unit each can buy — in every segment, one wrapped workflow. Every quoted line carries a URL fetched and checked on 3 August 2026.*\n\n## 1. Insurers pricing AI risk\n\n**The buyer.** Heads of AI underwriting at carriers and reinsurers — Munich Re sells AI performance insurance; Armilla and AIUC insure AI vendors against model failure.\n\n**The pain in their own words, and what they already pay.** \"Without historical data about an AI model's use in business and how it performs, it is hard for insurers to assess risk,\" the Wall Street Journal reports. Munich Re's head of Insure AI, Michael Berger, states the pricing task exactly: \"to find a reliable statistical estimator for the uncertainty of the respective AI model on new and unseen data.\" The same report records the structural defect: \"Armilla Assurance, Swiss Re and Munich Re are relying on their own AI expertise and proprietary assessment frameworks to price out risk\" — three carriers, three private frameworks, no shared evidence object a counterparty can inspect. Munich Re has priced this risk since 2018 with an in-house team of research scientists; AIUC put ElevenLabs through 5,835 technical tests across 14 risk categories before the first AIUC-1-backed policy went live in February 2026.\n\n**The smallest thing they can buy.** One underwriting submission, wrapped. The insured vendor wraps one completed pre-deployment evaluation run — or one incident review — as proven work: the claim is what the vendor warrants; the record is every model and tool call of that evaluation, hash-chained; the verdict is computed by the service, not asserted by the insured; the door is one keyless URL the underwriter opens, filing the returned inspection receipt with the underwriting file.\n\n## 2. Audit and assurance firms under Article 12 of the EU AI Act\n\n**The buyer.** AI assurance partners — PwC launched \"Assurance for AI,\" billed as first-to-market, on 3 June 2025 — plus certification bodies and the notified-body conformity assessors the Act creates.\n\n**The pain in their own words, and what they already pay.** Article 12(1) of Regulation (EU) 2024/1689: \"High-risk AI systems shall technically allow for the automatic recording of events (logs) over the lifetime of the system.\" The compliance guidance is blunt about what fails: \"Logs that are manually compiled, reconstructed from memory, or assembled from multiple sources after an incident begins are not compliant. The recording must happen at the moment the event occurs, not afterward.\" Retention runs at least six months; non-compliance carries fines up to €15 million or 3% of global annual turnover under Article 99(4). One calendar caveat: sources conflict on Article 12's application date (August 2026 versus December 2027 for Annex III systems); settle it against the EUR-Lex consolidated text before quoting it to a client. PwC logged 50,000+ hours of AI-specific audit training in FY25; ISO/IEC 42001 engagements run $150,000–$400,000 and New York bias audits $15,000–$75,000 (secondary surveys). What is missing is evidence the auditor did not produce and cannot be accused of rubber-stamping.\n\n**The smallest thing they can buy.** One Article 12 evidence bundle: one high-risk system, one month of its automatic log stream, wrapped. The ","ranking":"safety-first (interaction_risk/limitations), then quote-gated effective_weight","claims":[{"id":"c1","text":"Munich Re, Armilla, and AIUC already collect AI-performance premiums; the WSJ names the missing input — historical evidence of how the system actually performs.","tier":"primary","section":"Insurers pricing AI risk","interaction_risk":false,"status":"active","source_ids":["s1","s2","s3"],"retracted_at":null,"retraction_reason":null,"challenged_by":[],"effective_weight":0.1,"quote_gated":false},{"id":"c2","text":"EU AI Act Article 12 obliges high-risk providers to keep lifetime event logs, and Article 74 gives market-surveillance authorities the power to demand them.","tier":"primary","section":"Audit and assurance","interaction_risk":false,"status":"active","source_ids":["s4","s16"],"retracted_at":null,"retraction_reason":null,"challenged_by":[],"effective_weight":0.1,"quote_gated":false},{"id":"c3","text":"PwC has launched an AI assurance practice — the audit-side demand for exactly this record.","tier":"primary","section":"Audit and assurance","interaction_risk":false,"status":"active","source_ids":["s6"],"retracted_at":null,"retraction_reason":null,"challenged_by":[],"effective_weight":0.1,"quote_gated":false},{"id":"c4","text":"Mata v. Avianca made the exposure concrete: AI work product entered court with no record behind it, and the court sanctioned the lawyers.","tier":"primary","section":"Legal","interaction_risk":false,"status":"active","source_ids":["s15"],"retracted_at":null,"retraction_reason":null,"challenged_by":[],"effective_weight":0.1,"quote_gated":false},{"id":"c5","text":"FTC's Operation AI Comply continues under the new administration — enforcement reaches AI claims that records cannot support.","tier":"primary","section":"Regulators","interaction_risk":false,"status":"active","source_ids":["s10"],"retracted_at":null,"retraction_reason":null,"challenged_by":[],"effective_weight":0.1,"quote_gated":false}],"sources":[{"id":"s1","url":"https://vsc.co/wsj-is-your-ai-model-going-off-the-rails/","title":"WSJ: insurers lack historical AI performance data","claim_ids":[],"hash":"b2562355dff1e2e73d35123c6c613df596cc68667c73d986cd1dafe8c1795cb4"},{"id":"s2","url":"https://www.munichre.com/en/solutions/for-industry-clients/insure-ai.html","title":"Munich Re — AI performance cover since 2018","claim_ids":[],"hash":"0393387cdbe2808d23e1a3e236edd0504ed76c6233daaeaa25f4a963315e1f16"},{"id":"s3","url":"https://elevenlabs.io/blog/aiuc-announcement","title":"ElevenLabs/AIUC — 5,835 adversarial tests, first certified policy","claim_ids":[],"hash":"29ead2ae40017dcaccc9f296baed085072d8e8a7de63f3b492259d968efbd223"},{"id":"s4","url":"https://artificialintelligenceact.eu/article/12/","title":"EU AI Act Article 12 — record-keeping","claim_ids":[],"hash":"3c37c0d89dbeb43f319b2335bf335e922ad43aff533980528509ef9c70795a66"},{"id":"s5","url":"https://kaironull.com/insights/eu-ai-act-article-12-explained","title":"Article 12 explained — practitioner analysis","claim_ids":[],"hash":"4d1597b1fb286fa6f526129958af3111cee0b15affb4f26c40f79643c588a28f"},{"id":"s6","url":"https://www.pwc.com/us/en/about-us/newsroom/assurance-ai-press-release.html","title":"PwC launches assurance for AI","claim_ids":[],"hash":"f2b84ab85482113cd4cfe16be941a753522d4fc309e1d3860d922e85963ac6c6"},{"id":"s7","url":"https://alicelabs.ai/en/insights/best-ai-governance-consulting-firms-2026","title":"AI governance consulting market 2026","claim_ids":[],"hash":"9fcbe986d61955ef6af6b05fc26e3ee08f8a396af1c22d6cbc0fece9644e3e2d"},{"id":"s8","url":"https://optro.ai/blog/ai-vendor-questionnaire-essential-questions-to-ask","title":"AI vendor questionnaires — the procurement status quo","claim_ids":[],"hash":"c7a013e6c8e0ecaaa33538218933f5e6c3c5d3f18bc78a0c201a05c3ceee446c"},{"id":"s9","url":"https://www.aiactblog.nl/en/posts/assessing-ai-vendors-eu-ai-act-procurement","title":"Assessing AI vendors under the AI Act","claim_ids":[],"hash":"787b5a0f48e1ebfe828d4885ba9341c3869ffd9f0d61519f10f480945eaee3da"},{"id":"s10","url":"https://www.beneschlaw.com/insight/one-year-in-ftcs-operation-ai-comply-continues-under-new-administration-signaling-enduring-enforcement-focus/","title":"FTC Operation AI Comply — one year in","claim_ids":[],"hash":"df13d023e90a92bd1c47599287170003d9c51fc881a24f94ff02d43a6830a293"},{"id":"s11","url":"https://arxiv.org/html/2510.09859v4","title":"Research-market pricing analysis (arXiv)","claim_ids":[],"hash":"6dc6828551bce93e2e848437e0057cea4d1ea68a78053b8fc4524411e36372b6"},{"id":"s12","url":"https://www.khflaw.com/news/legal-intelligencer-discovery-risks-of-chatgpt-and-other-ai-platforms/","title":"Discovery risks of AI platforms","claim_ids":[],"hash":"2676fa25bea93880d216fa6d4fa8c5b76bc5f7513c857aff97a3dfd11b50c549"},{"id":"s13","url":"https://www.obwb.com/newsletter/are-your-ai-prompts-discoverable-recent-cases-every-company-and-law-firm-should-know","title":"Are AI prompts discoverable — recent cases","claim_ids":[],"hash":"be6622fcd00ece41cf08a23b5699959bc2e64554c6274d3d083d277cb783ec31"},{"id":"s14","url":"https://www.smarsh.com/blog/thought-leadership/ai-in-ediscovery-court-warnings-privilege-risks","title":"AI in e-discovery — court warnings","claim_ids":[],"hash":"cbdf65a676b3ba936804bdec1b6b8c2a76e97e8acba388c88c37ea3966072deb"},{"id":"s15","url":"https://www.law.berkeley.edu/wp-content/uploads/archive/2025/12/Mata-v-Avianca-Inc.pdf","title":"Mata v. 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