{"txn_id":"BB-RNW-0309","assessment_id":"ra_7f8ea608158f4ed6","occurred_at":"2026-10-13T00:04:57+00:00","state":"CO","line_of_business":"auto","stage":"renewal","program_area":"Ratemaking/Rate Classification/Schedule Rating/Premium Audits","ai_system":{"system_id":"price-opt","model_version":"7.2","vendor":"internal","vendor_name":null,"high_risk_class":"pricing"},"inputs":{"feature_classes":["telematics","credit","geography","vehicle","claims_history"],"protected_factors_used":[],"ecdis_present":true,"consumer_report_used":false,"credit_used":true,"data_source_refs":["cra://demo-bureau/score","telematics://bluebonnet/program"],"consumer_token":"tok_bf383b5f46"},"output":{"decision":"rate","score":0.354,"reason_codes":[],"premium_delta_pct":20.9},"human_involvement":{"reviewed":false,"reviewer_role":"underwriter","overridden":false},"adverse_action":{"is_adverse":true,"notice_sent_at":"2026-10-18T00:04:57+00:00","reasons_provided":true,"specific_reasons":true,"ecdis_disclosed":false,"appeal_channel":null},"carrier_note":null,"input":{"revision":1,"current_revision":1,"input_digest":"c4676231dc6353c438b19420399975347b82aea003b575e0814c5e5cd05c5aca","digest_ok":true,"note":"input_digest is SHA-256 over the canonical JSON of the transaction revision assessed; it is inside the assessment the ledger hashes."},"assessment":{"disposition":"FLAG","coverage":{"status":"supported","state_rules_applied":4,"general_rules_applied":2,"advisory_rules_applied":4,"rules_considered":30,"rules_applied":["co.sb169.ecdis-adverse-untested","co.reg-10-1-1.governance-framework-amended","co.reg-10-1-1.vendor-ecdis-documentation","co.reg-10-1-1.monitoring-undocumented","doctrine.co.vendor-rx-score-is-ecdis","doctrine.unreviewed-adverse-high-risk","doctrine.zip-credit-interaction-proxy","us.fcra.adverse-action-notice","us.fcra.permissible-purpose-undocumented","precedent.ai-flagged-cancellation-without-notice"],"statement":"4 state-specific and 2 general black-letter rule(s) applied to this CO auto renewal transaction. Only the configured checks were run; a result is not a legal opinion on compliance."},"evidence":{"status":"carrier_asserted","asserted":["ai_system.governance_attested","ai_system.model_doc_ref","ai_system.testing_report_ref","inputs.data_source_refs"],"missing":[],"statement":"Supplied by the carrier and not verified by RegBench: ai_system.governance_attested, ai_system.model_doc_ref, ai_system.testing_report_ref, inputs.data_source_refs."},"summary":"FLAG: 2 finding(s) under rules 2026.10+c4982313, corpus 2026-10-30-9c5dad5a. Routed to the carrier's compliance reviewer with cited findings.","narrative":"On 2026-10-13, price-opt v7.2 (an internally developed system) produced 'rate' in a CO auto renewal transaction. Inputs included telematics, credit, geography, vehicle, claims history. External consumer data and information sources were present. No human reviewed the output before it took effect. The outcome was adverse to the consumer; a notice was sent on 2026-10-18 with specific reasons. RegBench applied 10 rule(s) in force on 2026-10-13 and recorded 2 finding(s); the most serious is 'Adverse outcome from a high-risk AI system with no human review' (medium, L6).","findings":[{"rule_id":"doctrine.unreviewed-adverse-high-risk","layer":"L6","judgment_basis":"doctrine","advisory":true,"severity":"medium","title":"Adverse outcome from a high-risk AI system with no human review","required_action":"Route to the carrier's reviewer; record the review and any override on the transaction.","exhibits":["B","C"],"content_status":"verified","citations":[{"provision_id":"naic-ai-bulletin-s3-1-ais-program","label":"NAIC Model Bulletin on the Use of AI Systems by Insurers (adopted 4 Dec 2023), Section 3, 1.0 General Guidelines — the written AIS Program","source_url":"https://content.naic.org/sites/default/files/inline-files/2023-12-4%20Model%20Bulletin_Adopted_0.pdf","verified":true}]},{"rule_id":"doctrine.zip-credit-interaction-proxy","layer":"L6","judgment_basis":"doctrine","advisory":true,"severity":"medium","title":"Geography and credit used together in an adverse decision (proxy pattern to test at portfolio level)","required_action":"Confirm the system's portfolio outcome testing covers the geography-credit interaction; link the result.","exhibits":["C"],"content_status":"verified","citations":[{"provision_id":"naic-ai-bulletin-s3-1-ais-program","label":"NAIC Model Bulletin on the Use of AI Systems by Insurers (adopted 4 Dec 2023), Section 3, 1.0 General Guidelines — the written AIS Program","source_url":"https://content.naic.org/sites/default/files/inline-files/2023-12-4%20Model%20Bulletin_Adopted_0.pdf","verified":true}]}],"point_in_time":{"as_of":"2026-10-13","basis":"transaction_date","rules_version":"2026.10+c4982313","corpus_snapshot":"2026-10-30-9c5dad5a","engine_version":"regbench-engine/0.5.0","model_version":"deterministic-1"},"evaluated_at":"2026-10-31T05:42:53.512208+00:00","fingerprint":"36aae88f015a1920ccb28a55"},"review":{"status":"resolved","outcome":"overridden","hours_to_resolve":19.7,"reviewer_role":"compliance","resolved_at":"2026-10-13T19:48:36.908869+00:00"},"ledger":{"seq":5812,"hash":"2e364ca0962d75c2c20803ba3e580ab1e123634919ffdafe5a117ddc40dce56e","prev_hash":"39ef07ecca11f23105e47158051209679b3cdcd1f1cb6b9b54ad5e8e5568ecad","recorded_at":"2026-10-13T00:06:53+00:00"}}