Regulatory Assessment

AGENT-CLM-140922 PASS

TX · auto · claims · decided 2026-10-30 14:09 UTC · Bluebonnet Mutual Insurance Company (fictional)

On 2026-10-30, fnol-fraud v3.1 (a third-party system from Sentinel Analytics (fictional)) produced 'refer' in a TX auto claims transaction. Inputs included claims history, geography, social media. A human reviewed the output by a adjuster. The outcome was adverse to the consumer; no notice to the consumer is recorded. RegBench applied 7 rule(s) in force on 2026-10-30 and recorded no findings.

PASS: 0 finding(s) under rules 2026.10+dbe5ddf6, corpus 2026-10-30-5f07c521. No regulatory finding; the case file is recorded.

Findings (0)

No finding under the rules in force on 2026-10-30 for this state, line and stage. The case file is recorded all the same.

Point in time

Law as of
2026-10-30
Rules version
2026.10+dbe5ddf6
Corpus snapshot
2026-10-30-5f07c521
Engine
regbench-engine/0.4.0 · deterministic-1
Fingerprint
46100ce81c2ec68b7f9def8f
Evaluated
2026-10-30 14:09:22 UTC
Exhibit C case file
yes

Ledger

Entry
#1380 · assessment · recorded 2026-10-30T14:09:22.919598+00:00
Hash
73db522cd0ea00e3c6d0301006a250b2b73b6b11e18d0da267ab7d01c23b342c
Previous
c6bcaefacdfbe7dade5967b7661afca115044028f699cced6a180bb38a2ed9f5
Stored copy intact
yes, hashes match

Verify the whole chain Case file JSON

Carrier review

No review item: the disposition was PASS.

Recorded facts

AI system
fnol-fraud v3.1 · third party (Sentinel Analytics (fictional)) · high-risk class: fraud
Governance attested
False
Testing report
none recorded
Model documentation
none recorded
Feature classes
claims_history, geography, social_media
Protected factors used
none
External data (ECDIS)
False
Consumer report / credit
False / False
Data sources
vendor://sentinel/fnol
Decision
refer · score 0.93 · codes F07
Human review
yes (adjuster)
Adverse to consumer
True
Notice
not recorded · reasons: True · specific: True · external data disclosed: False
Appeal channel
–
Consumer token
tok_agent_demo